bluuebunny/crossref_metadata_2025_split huggingface dataset:
Input–output gain analysis of positive periodic systems
Authors: Zhu Bohao , Lam James , Ebihara Yoshio 
Published: February 2021

AbstractThis paper investigates the input‐output gains, includingℓ1‐ andℓ∞‐gains andL1‐ andL∞‐gains, of discrete‐time and continuous‐time positive periodic systems. For the discrete‐time case, the input–output gain can be characterized by linear inequalities. For the continuous‐time case, the input–output gain characterization problem turns into the existence problem of a positive periodic vector function. Based on some necessary and sufficient input–output gain conditions, we find theℓ1‐ (L1‐) gain of discrete‐time (continuous‐time) positive periodic systems is equivalent to the ofℓ∞‐ (L∞‐) gain of the associated dual systems. Finally, two numerical examples are given to illustrate the results.
Discretized quasi‐time‐dependent control for continuous‐time switched linear systems with persistent dwell‐time
Authors: Tong Yanhui , Sun Weichao , Li Xiaohang 
Published: February 2021

AbstractThis article is concerned with the dynamic output‐feedbackcontrol problem for continuous‐time switched linear systems with persistent dwell‐time (PDT). Considering the quasi‐periodic property of PDT switching, a discretized quasi‐time‐dependent (QTD) control scheme is proposed by means of a multiple discretized QTD Lyapunov function approach. This control scheme is devoted to designing discretized controllers for continuous‐time switched systems straightforwardly. Firstly, the stability and‐gain of switched systems with PDT is analyzed utilizing multiple QTD Lyapunov functions. Then, by constructing the quadratic discretized version of these functions, a synthesis condition for the discretized QTDcontroller is established. In order to formulate the synthesis condition in terms of LMIs, we employ the controller state reset strategy in the derivation, which means that the controller state is reset to that of the plant at each switching instant. Finally, a numerical example is given to illustrate the effectiveness of the proposed control scheme.
Predicting mean annual and mean monthly streamflow in Colorado ungauged basins
Authors: Eurich Abby , Kampf Stephanie K. , Hammond John C. , Ross Matt , Willi Katie , Vorster Anthony G. , Pulver Bryce 
Published: February 2021

AbstractRiver managers often need estimates of streamflow for ungauged streams. These estimates can be used in water rights acquisitions, in‐stream flow management, habitat assessment, water quality planning, and stream hazard identification. This publication describes new regression models for predicting mean annual and mean monthly streamflow in Colorado. Unlike previous regional regression studies, the new models incorporate snow persistence (SP), the fraction of time a watershed remains snow covered. Models were developed using streamflow data from 131 watersheds with drainage areas <1,500 km2, no transbasin diversions, and <10% urban area. In addition to SP, topographic, climate, geologic, and hydrologic region variables were used in model predictions. All new models had very good performance, with <6% absolute bias and stronger performance compared to current regional regression models in StreamStats. The mean annual model had the strongest performance, with Nash‐Sutcliffe efficiency coefficient (NSE) of 0.93 and <2% absolute bias. Mean monthly models had best performance during snowmelt runoff months (May‐Jul; NSE ≥0.79; absolute % bias ≤ 4) and weaker performance during low flow months (Aug‐Apr; NSE ≥ 0.59; % bias ≤ 5). Tests of the mean annual model using decadal average streamflow from 1910s to 2000s show very good performance (NSE > 0.75), but predictions were biased low by 14–28% in wetter decades. All equations and coefficients needed to run the models are presented in the publication appendix, and the associated data release includes the spatial data and model code, which can be applied using R or within an R‐based Shiny web app.
Physicochemical drivers of managed river and agricultural drainage channel macroinvertebrate communities
Authors: Gething Kieran J. 
Published: February 2021

AbstractArtificial channels are common features in lowland agricultural catchments, and are a potentially significant habitat for aquatic species. Recent studies have suggested communities in managed rivers and artificial channels are broadly similar, but with some compositional differences. However, because relatively few studies have considered how artificial channels may contribute to supporting aquatic communities, their physicochemical condition and suitability for aquatic fauna remain poorly characterised. Therefore, this study explores the role of physicochemical variables in driving macroinvertebrate community differences between intensively managed rivers and artificial channels in a highly arable catchment. Aquatic macroinvertebrates were sampled in intensively managed rivers and artificial channels. Physicochemical water quality variables were also recorded, and used to identify macroinvertebrate community responses. Both intensively managed rivers and artificial channels had spatiotemporally stable communities, with no significant differences in richness, abundance, effective diversity or Berger–Parker dominance detected between sampling months or channel types. Macroinvertebrate composition in intensively managed rivers and artificial channels was significantly different, and driven by the relative abundance of taxa present, not the number of taxa unique to each channel type. Compositional differences between intensively managed rivers and artificial channels were partially driven by conductivity, dissolved oxygen and temperature. Identifying remaining sources of compositional variance may support tailored management strategies that accentuate compositional differences between rivers and artificial channels, increasing overall diversity in intensively farmed arable catchments.
Plant communities and landform relationships delineate the components of soil complexes subject to whole‐tree harvest restriction
Authors: Richard Robert P. , Kane Evan S. , Bronson Dustin R. , Maclean Ann L. , Kolka Randall K. 
Published: February 2021

AbstractWhole‐tree harvesting practices are often restricted on soils with intrinsically low soil nutrients. Delineating restricted soil components from nonrestricted components presents a challenge for forest practitioners working with glaciofluvial parent materials. We investigated a suite of biological and edaphic factors to assess if restricted soil components are functionally distinct from nonrestricted soil components in partially restricted soil complexes across northern Wisconsin, USA. This study tested repeatable methods for soil delineation based on soil particle size, varying in spatial extent, and are independent of county boundaries or discrepancies across soil survey areas. Habitat type provided the most robust tool to distinguish the soil components and is the recommended approach. Habitat typing currently requires field data collection, since it does not exist as a geographic information system product in Wisconsin. Timber sale establishment often occurs during the off‐season when habitat typing is not possible. In this case, an additional decision tree including habitat type and deviation from mean elevation (DEV) model is provided to estimate soil components remotely and verify the results when habitat typing is feasible. The 1,300‐m radius DEV performed best with a 10‐m digital elevation model, and reflects the differences between moraines and outwash plains landforms. These findings suggest that the utility of the DEV model and spatially explicit soil textural information in delineating restricted series from soil complexes has promise in light of improved remotely sensed information and geographic information system technologies that can be field‐validated by habitat type.
Adipose-derived regenerative cells and lipotransfer in alleviating breast cancer-related lymphedema: An open-label phase I trial with 4 years of follow-up
Authors: Jørgensen Mads Gustaf , Toyserkani Navid Mohamadpour , Jensen Charlotte Harken , Andersen Ditte Caroline , Sheikh Søren Paludan , Sørensen Jens Ahm 
Published: February 2021

Abstract
Patients with breast cancer-related lymphedema (BCRL) have reduced quality of life and arm function. Current treatments are palliative, and treatments improving lymphedema are lacking. Preclinical studies have suggested that adipose-derived regenerative cells (ADRCs) can alleviate lymphedema. We, therefore, aimed to assess whether ADRCs can alleviate lymphedema in clinical reality with long-term follow-up. We treated 10 patients with BCRL using ADRCs and a scar-releasing lipotransfer to the axillary region, and all patients were followed 1, 3, 6, 12, and 48 months after treatment. The primary endpoint was change in arm volume. Secondary endpoints were safety, change in lymphedema symptoms, quality of life, lymphedema-associated cellulitis, and conservative treatment use. There was no significant decrease in BCRL volume after treatment. However, self-reported upper extremity disability and arm heaviness and tension improved. Six patients reduced their use of conservative BCRL treatment. Five patients felt that their BCRL had improved substantially, and four of these would redo the treatment. We did not observe any cases of locoregional breast cancer recurrence. In this phase I study with 4 years of follow-up, axillary delivered ADRCs and lipotransfer were safe and feasible and improved BCRL symptoms and upper extremity function. Randomized controlled trials are needed to confirm the results of this study.
Investigating the temporal relationship between proactive burnout prevention and burnout: A four‐wave longitudinal study
Authors: Otto Madelon C. B. , Van Ruysseveldt Joris , Hoefsmit Nicole , Van Dam Karen 
Published: February 2021

AbstractGiven the detrimental effects of burnout for individuals and organizations, it is of crucial importance to better understand the self‐initiated actions employees take to prevent burnout. While such proactive burnout prevention is likely to reduce burnout complaints, these activities may also be frustrated by high burnout levels. This means that proactive burnout prevention and burnout can negatively affect each other over time. The present study used a four‐wave longitudinal panel design to investigate temporal relationships between proactive burnout prevention and burnout over 3, 6 and 9 weeks. Participants were 165 employees in the financial services industry who provided data on all four measurement occasions. The outcomes of structural equation modelling provided support for the hypothesized combined effects model compared to the lagged and reversed effects models. The findings suggest that proactive burnout prevention can help to prevent burnout, while engagement in these behaviours may be hindered by high initial levels of burnout. Employees should therefore intervene before their resource pool becomes too depleted and they lack the energy or mental strength to invest resources, in order to proactively retain or regain resources.
Rare‐Earth‐Based Metal–Organic Frameworks as Multifunctional Platforms for Catalytic Conversion
Authors: Shi Xiaomeng , Cao Bo , Liu Jinghai , Zhang Jun , Du Yaping 
Published: February 2021

AbstractThe development of catalytic conversion is very important for human society. In the catalytic process, metal–organic frameworks (MOFs) can be utilized to obtain effective catalysts for their porous structures and adjustable properties. In addition, the introduction of rare‐earth (RE) elements with unique properties for catalysts can realize good catalytic performances. Thus, the RE‐MOF related catalysts for catalytic conversion are summarized. Due to the cooperation of RE elements and porous MOF structures, the RE‐based MOFs can be used as promising catalysts or precursors/supports for other catalysts in the areas of energy conversion, environmental governance, and organic synthesis. These aggregated studies highlight the RE‐MOFs as promising candidates for catalytic conversion.
Rolled‐Up Metal Oxide Microscaffolds to Study Early Bone Formation at Single Cell Resolution
Authors: Herzer Raffael , Gebert Annett , Hempel Ute , Hebenstreit Franziska , Oswald Steffen , Damm Christine , Schmidt Oliver G. , Medina‐Sánchez Mariana 
Published: February 2021

AbstractTitanium and its alloys are frequently used to replace structural components of the human body due to their high mechanical strength, low stiffness, and biocompatibility. In particular, the use of porous materials has improved implant stabilization and the promotion of bone. However, it remains unclear which material properties and geometrical cues are optimal for a proper osteoinduction and osseointegration. To that end, transparent tubular microscaffolds are fabricated, mimicking the typical pores of structural implants, with the aim of studying early bone formation and cell–material interactions at the single cell level. Here, a β‐stabilized alloy Ti‐45Nb (wt%) is used for the microscaffold's fabrication due to its elastic modulus close to that of natural bone. Human mesenchymal stem cell migration, adhesion, and osteogenic differentiation is thus investigated, paying particular attention to the CaP formation and cell‐body crystallization, both analyzed via optical and electron microscopy. It is demonstrated that the developed platform is suited for the long‐term study of living single cells in an appropriate microenvironment, obtaining in the process deeper insights on early bone formation and providing cues to improve the stability and biocompatibility of current structural implants.
3D Thioether‐Based Covalent Organic Frameworks for Selective and Efficient Mercury Removal
Authors: Zhang Yiying , Li Hui , Chang Jianhong , Guan Xinyu , Tang Lingxue , Fang Qianrong , Valtchev Valentin , Yan Yushan , Qiu Shilun 
Published: February 2021

AbstractDeveloping functionalized 3D covalent organic frameworks (3D COFs) is critical to broaden their potential applications. However, the introduction of specific functionality in 3D COFs remains a great challenge because most of the functional groups are not compatible with the synthesis conditions. Herein, for the first time 3D thioether‐based COFs (JUC‐570 and JUC‐571) for mercury (Hg2+) removal from aqueous solution is reported. These 3D thioether‐based COFs prepared by the bottom‐up approach display high Hg2+ uptakes (972 mg g−1 for JUC‐570 and 970 mg g−1 for JUC‐571 at pH = 5), fast adsorption kinetics (distribution coefficient Kd value of 2.29 × 107 mL g−1 for JUC‐570 and 2.07 × 107 mL g−1 for JUC‐571), and favorable selectivity. In particular, JUC‐570 is periodically decorated with isopropyl groups around imine bonds that markedly improve its chemical stability and effectively prevent the pore collapse, and thus endows high Hg2+ adsorption capacity (619 mg g−1) and excellent cycle performance even at pH = 1. This study not only puts forward a new route to construct stable functionalized 3D COFs, but also promotes their potential applications in areas related to the environment.
HPV‐Associated Tumor Eradication by Vaccination with Synthetic Short Peptides and Particle‐Forming Liposomes
Authors: He Xuedan , Zhou Shiqi , Quinn Breandan , Jahagirdar Dushyant , Ortega Joaquin , Abrams Scott I. , Lovell Jonathan F. 
Published: February 2021

AbstractHuman papilloma virus (HPV)‐16 is associated with cervical cancers and induces expression of the E6 and E7 oncogenes. Using a murine cell line that expresses these, the genes are sequenced, and six predicted major histocompatibility complex (MHC) class I (MHC‐I) epitopes are identified. A liposomal vaccine adjuvant based on cobalt–porphyrin‐phospholipid (CoPoP) is admixed with synthetic 9‐mer epitopes appended with three histidine residues, resulting in rapid formation of peptide–liposome particles. Immunization with multivalent peptides leads to protection from tumor challenge. Of the peptides screened, only the previously identified E749–57 epitope is functional. The peptide–liposome particles that form upon mixing E7HHH49–57 with CoPoP liposomes are stable in serum and are avidly taken up by immune cells in vitro. Immunization results in robust protection from tumor challenge and re‐challenge. A 100 ng peptide dose protects mice in a therapeutic tumor challenge when admixed with CoPoP liposomes, whereas 200‐fold higher peptide doses are ineffective with the polyinosinic–polycytidylic (poly(I:C)) adjuvant. CoPoP induces a strong infiltrating CD8+ T‐cell response within the tumor microenvironment with an improved functional profile. Vaccine monotherapy using nanogram dosing of the E7HHH49–57 peptide admixed with CoPoP reverses the growth of large established tumors, eradicating subcutaneous tumors upwards of 100 mm3. Immunization also eradicates lung tumors in a metastasis model.
Dynamic Coloration of Complex Emulsions by Localization of Gold Rings Near the Triphase Junction
Authors: Ku Kang Hee , McDonald Benjamin R. , Vijayamohanan Harikrishnan , Zentner Cassandra A. , Nagelberg Sara , Kolle Mathias , Swager Timothy M. 
Published: February 2021

AbstractMultiphase microscale emulsions are a material platform that can be tuned and dynamically configured by a variety of chemical and physical phenomena, rendering them inexpensive and broadly programmable optical transducers. Interface engineering underpins many of these sensing schemes but typically focuses on manipulating a single interface, while engineering of the multiphase junctions of complex emulsions remains underexplored. Herein, multiphilic triblock copolymer surfactants are synthesized and assembled at the triphase junction of a dynamically reconfigurable biphasic emulsion. Tailoring the linear structure and composition of the polymer surfactants provides affinity to each phase of the complex emulsion (hydrocarbon, fluorocarbon, and continuous water phase), yielding selective localization of polymers around the triphase junction. Conjugation of these polymers with gold nanoparticles, forming structured rings, affords a dynamic reflected isotropic structural color that tracks with emulsion morphology, demonstrating the uniquely enabling nature of a functionalized triphase interface. This color is the result of interference of light along the internal hydrocarbon/fluorocarbon interface, with the gold nanoparticles scattering and redirecting light into total internal reflection competent paths. Thus, the functionalization of the triphase junction renders complex emulsions colorimetric sensors, a powerful tool toward sensitive and simple sensing platforms.
The political economy of drug and alcohol regulation during theCOVID‐19 pandemic
Authors: Redford Audrey , Dills Angela K. 
Published: February 2021

AbstractStates tightly regulate access to alcohol and other substances. During the pandemic and related state of emergency, state and federal governments adopted a variety of regulations affecting this access. State shelter‐in‐place orders included decisions about whether liquor stores and marijuana dispensaries are essential businesses. Decisions about telehealth access to medical marijuana or treatments for substance use disorders were made at the state and federal levels. This article examines the political economy behind these decisions, focusing on deviations from the norm including Pennsylvania's decision to close state‐run liquor stores. Interest groups and other political considerations help explain state and federal policy changes affecting access to alcohol and other substances.
The human in model‐driven engineering loop: A case study on integrating handwritten code in model‐driven engineering repositories
Authors: Rahad Khandoker , Badreddin Omar , Mohsin Reza Sayed 
Published: February 2021

AbstractIn model‐driven engineering (MDE) software projects, large portions of the executable code are automatically generated from designs and models. This generated code may or may not be edited by the developers to achieve their development objectives. MDE projects also include a significant amount of handwritten code (HC). This handwritten code is developed under unique constraints, as it must integrate with generated artifacts and code elements that are not directly developed by the engineers. These constraints adversely affect codebase quality and maintainability. This case study aims to investigate the hypothesis pertaining to the handwritten code quality developed in the context of MDE. The study analyzes these unique code fragments and compares their characteristics to handwritten code in repositories where code generation is not present. The study finds that handwritten code quality in the MDE context suffers from elevated technical debt and code smells. We observe key code smells that are particularly evident in this handwritten code. These findings imply that code generators must optimize for human comprehension, prioritize extensibility, and must facilitate integration with handwritten code elements.
Digital forensic readiness intelligence crime repository
Authors: Kebande Victor R. , Karie Nickson M. , Choo Kim‐Kwang Raymond , Alawadi Sadi 
Published: February 2021

AbstractIt may not always be possible to conduct a digital (forensic) investigation post‐event if there is no process in place to preserve potential digital evidence. This study posits the importance of digital forensic readiness, or forensic‐by‐design, and presents an approach that can be used to construct a Digital Forensic Readiness Intelligence Repository (DFRIR). Based on the concept of knowledge sharing, the authors leverage this premise to suggest an intelligence repository. Such a repository can be used to cross‐reference potential digital evidence (PDE) sources that may help digital investigators during the process. This approach employs a technique of capturing PDE from different sources and creating a DFR repository that can be able to be shared across diverse jurisdictions among digital forensic experts and law enforcement agencies (LEAs), in the form of intelligence. To validate the approach, the study has employed a qualitative approach based on a number of metrics and an analysis of experts' opinion has been incorporated. The DFRIR seeks to maximize the collection of PDE, and reducing the time needed to conduct forensic investigation (e.g., by reducing the time for learning). This study then explains how such an approach can be employed in conjunction with ISO/IEC 27043: 2015.
Longitudinal joints of tubbings with newly designed high‐strength reinforcement
Authors: Wolfger Hannes , Proksch‐Weilguni Clemens , Kollegger Johann 
Published: February 2021

AbstractContinuous tunneling using a tunnel‐boring machine is a very popular method when it comes to the construction of large tunnel projects. The use of precast reinforced concrete elements, called tubbings, is a highly economical way to secure the tunnel post excavation. Unfortunately, a loss of the load‐bearing capacity has been observed in the past in the joints between the tubbings. Reasons for that are among others the required reduction of the cross section in the longitudinal joint area and, above all, the high normal compressive forces that arise due to soil pressure. This paper describes experimental testing of longitudinal joints of tubbings conducted at TU Wien. The increase of the load‐bearing capacity of a newly designed and optimized tubbing with high‐strength joint‐compressive reinforcement, which was developed and patented by the Institute of Structural Engineering at TU Wien, is presented. The high‐strength steel is characterized by its high yield strength of 670 MPa, as well as the very large available bar diameters of up to 75 mm. This new optimized tubbing enables the production of thinner tubbings compared to conventional designs, and can thus achieve a reduction in material, transport and excavation costs.