bluuebunny/crossref_metadata_2025_split huggingface dataset:
Active Poly (Lactic Acid) Films with Rice Straw Aqueous Extracts for Meat Preservation Purposes
Authors: Freitas Pedro A. V. , González-Martínez Consuelo , Chiralt Amparo 
Published: April 2023

AbstractAqueous extracts from rice straw (RS), using ultrasound-assisted reflux heating extraction (USHT) and subcritical water extraction (SWE), under two process conditions (160 °C, 7 bars; and 180 °C, 11 bars), were obtained and characterised as to their phenolic content and antioxidant and antimicrobial capacities. These extracts were incorporated (6% wt.) into poly (lactic acid) (PLA) films by melt blending and compression moulding that were characterised as to their structural and functional properties and their capacity to preserve fresh pork meat, as vacuum thermo-sealed bags, throughout 16 days of cold storage. The extracts slightly reduced the extensibility, resistance to break, and water barrier capacity of the PLA films but enhanced their oxygen barrier capacity and the UV light-blocking effect. The films with RS extracts were effective at preserving meat quality parameters, inhibiting microbial growth, meat oxidation, discolouration, and weight loss. The SWE extract obtained at 180 °C was the most effective at obtaining active films for meat preservation, exhibiting the greatest antioxidant and antibacterial activity. Therefore, the green SWE technique is useful for obtaining active extracts from RS, allowing for its valorisation in the development of biodegradable active materials useful to preserve food quality.
Circularity in waste management: a research proposal to achieve the 2030 Agenda
Authors: González-Sánchez Rocío , Alonso-Muñoz Sara , Medina-Salgado María Sonia 
Published: April 2023

AbstractWaste management is the main challenge in the transition away from the linear "take-make-dispose" economy. Incorporating the principles of circularity in waste management would facilitate the achievement of Sustainable Development Goals. This paper aims to provide state-of-the-art research about circular waste management in the fulfillment of the 2030 Agenda. For this purpose, bibliometric analysis by VOSviewer and SciMat software is used to define the evolution and to detect research trends. Based on the main gaps identified in studies, a research agenda to guide for further opportunities in this field is suggested. The results obtained four clusters that address sustainable industrial infrastructure, biological waste management, recycling in developing countries and recovery processes. Four research propositions are established, focusing on plastic waste management and generation trends, circular municipal waste management, more sustainable landfill management, and enablers such as indicators and legislation. The transformation towards more bio and ecological models requires social, regulatory and organizational tools that consider the best interests and capacity of companies, public authorities and consumers. In addition, policy implications are considered.
Development of a linear–nonlinear hybrid special model to predict monthly runoff in a catchment area and evaluate its performance with novel machine learning methods
Authors: Dehbalaei Fereshteh Nourmohammadi , Azari Arash , Akhtari Ali Akbar 
Published: April 2023

AbstractAccurate forecasting of runoff as an important hydrological variable is a key task for water resources planning and management. Given the importance of this variable, in the current study, a multivariate linear stochastic model (MLSM) is combined with a multilayer nonlinear machine learning model (MNMLM) to generate a hybrid model for the spatial and temporal simulation of runoff in the Quebec basin, Canada. Monthly hydrological data from 2001 to 2013, including precipitation and runoff data from nine stations and Normalized Difference Vegetation Index (NDVI) extraction of MODIS data, are applied as input to the proposed hybrid model. At the first step of the hybrid modeling, data normality and stationary were examined by performing various tests. In the second step, MLSM was developed by defining four different scenarios and as a result 15 sub-scenarios. The first and second scenarios were developed based on one exogenous variable (precipitation or NDVI). In contrast, the second and third scenarios were developed based on two additional variables. In the first and third scenarios, the data are modeled without preprocessing. In the second and fourth scenarios, a preprocessing step is performed on the data. Then, in the third step, various combinations based on different time delays from runoff data were applied for developing nonlinear model. The comparisons are made between observed and simulated time series at various stations and based on the root mean squared error (RMSE), mean absolute error (MAE), correlation coefficient (R) and Akaike information criterion (AIC). The efficiency of the proposed hybrid model is compared with a novel machine learning model that was introduced in 2021 by Sultani et al., and it was also compared with the results obtained from the linear and nonlinear models. In most stations, delays (t-1) and (t-24) are identified as the most effective delays in hybrid and nonlinear modeling of runoff. Also, in most stations, the use of climatic parameters and physiographic factors as exogenous variables along with runoff data improves the results compared to the use of one variable. Results showed that at all stations, proposed hybrid model generally leads to more accurate estimates of runoff compared with various linear and nonlinear models. More accurate estimates of peak runoff values at all stations were another excellence of proposed hybrid model than other models.
Radio-iodine refractory thyroid cancer patients: a tailored follow-up based on clinicopathological features
Authors: Lorusso L. , Minaldi E. , Esposito G. , Piaggi P. , Bottici V. , Brogioni S. , Giani C. , Valerio L. , Molinaro E. , Elisei R. , Agate L. 
Published: April 2023

Abstract
Objective
To report the experience of a single center for the selection of radioiodine-refractory (RAIR) thyroid cancer patients (RAIR-TC) who needed tyrosine kinase inhibitor (TKIs) treatment.

Patients and methods
We evaluated all features of 279 RAIR-TC patients both at the time of diagnosis and at the RAIR diagnosis.

Results
Ninety-nine patients received indication to TKIs (Group A), while 180 remained under active surveillance (Group B). Group A had greater tumor size, more aggressive histotype, more frequent macroscopic extrathyroidal extension, distant metastases, advanced AJCC stage, and higher ATA risk of recurrence. After RAIR diagnosis, 93.9% of Group A had progression of disease (PD) after which TKIs’ therapy was started. The remaining 6.1% of patients had a so severe disease at the time of RAIR diagnosis that TKIs’ therapy was immediately started. Among Group B, 42.7% had up to 5 PD, but the majority underwent local treatments. The mean time from RAIR diagnosis to the first PD was shorter in Group A, and the evidence of PD within 25 months from RAIR diagnosis was associated with the decision to start TKIs.

Conclusions
According to our results, a more tailored follow-up should be applied to RAIR-TC patients. A too strict monitoring and too many imaging evaluations might be avoided in those with less-aggressive features and low rate of progression. Conversely, RAIR-TC with an advanced stage at diagnosis and a first PD occurring within 25 months from RAIR diagnosis would require a more stringent follow-up to avoid a late start of TKIs.
Integrating Spirituality and Religious Beliefs in a Mindfulness Based Cognitive Behavioral Therapy for PTSD with Latinx Unaccompanied Immigrant Children
Authors: Fortuna Lisa R. , Martinez William , Porche Michelle V. 
Published: April 2023

AbstractPurpose: Unaccompanied immigrant children (UIC) experience significant mental health concerns, particularly posttraumatic stress. This is a vulnerable population, yet little systematic research has examined the effectiveness of evidence-based models such as cognitive behavioral therapy (CBT) to meet their needs. Integrating religious beliefs and spirituality into therapy could elucidate better understandings of traumatic stress, and posttraumatic cognitions when working with UIC with strong faith traditions/beliefs. Methods: We report on modifications made to a pre-existing treatment, consisting of integrating religious and spiritual themes, to engage and work with UIC participants in a pilot study of Mindfulness-Based CBT. Thematic analysis of therapy notes evaluated the implementation process for integrating religious and spiritual themes. Three composite vignettes illustrate how religiosity and spirituality were salient for UIC participants in this pilot study, and how these were integrated into therapy to address posttraumatic cognitions and symptoms. We assessed changes in PTSD symptom severity and posttraumatic cognitions for UIC and in comparison, to non-UIC participants using the Child PTSD Symptom Scale and the Posttraumatic Cognitions Inventory. Results: Religiosity and spirituality were important for coping and conceptualizations of trauma, served as facilitators for engaging UIC in therapy, and related to improving posttraumatic cognitions and symptoms. Conclusion: Religious identity and spirituality can be important for meaning making, trauma cognitions and symptoms, and can be important to explore in therapy with unaccompanied immigrant children and adolescents. Clinical Trial Registration: Not applicable.
A novel thermo-geometrical model for accurate keyhole porosity prediction in Laser Powder-Bed Fusion
Authors: Vaglio Emanuele , Totis Giovanni , Lanzutti Alex , Fedrizzi Lorenzo , Sortino Marco 
Published: April 2023

AbstractWhen performing Laser Powder-Bed Fusion, undesired physical phenomena, such as balling, preballing and keyhole, must be avoided in order to achieve high-quality products. To date, keyhole-free process parameters can be identified either using demanding empirical methods or complex numerical simulations, while only a few analytical models can be found in literature for this purpose. In this work, state-of-the-art analytical models for predicting keyhole porosity were summarized and proved to be rather inaccurate because they are only based on thermodynamic principles, whereas they neglect the geometry and both the kinetics and kinematics of the keyhole cavity, which do also influence cavity collapse and porosity formation. Here an innovative physics-based semi-analytical model for predicting the formation of keyhole-related porosities was conceived, in which both thermodynamic and geometrical factors are taken into account. The proposed model was validated by performing single tracks experiments on Ti6Al4V according to a full factorial DoE on laser power and scanning speed. Produced samples were cross-sectioned and analyzed to evaluate keyhole porosity formation. The comparison between experimental data and model predictions confirmed the higher accuracy of the new model with respect to state of the art models. Besides improving the understanding of the keyhole phenomenon, the proposed model may provide a novel, effective and simple tool for fast process parameter optimization in industry.
Organisatorische und personale Hürden bei der Entwicklung digitaler Geschäftsmodelle
Authors: Kinkel Steffen , Fara Dominique Rene , Beiner Sebastian , Janeikis Sonja 
Published: April 2023

ZusammenfassungViele traditionelle Industrieunternehmen tun sich sehr schwer damit, neue digitale Geschäftsmodelle zu entwickeln und erfolgreich in den Markt einzuführen. Sie verharren weiterhin vorrangig in ihrem auf den Verkauf technischer Produkte spezialisierten Geschäft, das viele Jahre gute Gewinne abgeworfen hat. Sie unterschätzen aber die Dynamik des Wandels, die durch die zunehmende Digitalisierung und Serviceorientierung der Leistungsangebote entsteht und das traditionelle Sachgutgeschäft sehr schnell unter Druck setzen kann. Der Beitrag stellt die im Rahmen des BMBF-geförderten Forschungsprojekts AgilHybrid identifizierten, zentralen Hürden vor, die Industrieunternehmen überwinden müssen, wenn sie sich zum erfolgreichen Anbieter digitaler Geschäftsmodelle entwickeln wollen. Dabei kam ein Mixed-Methods-Ansatz aus qualitativen und quantitativen Forschungsmethoden zum Einsatz. Strukturiert werden die Erkenntnisse in Hürden bei der Nutzung agiler Arbeitsweisen, Hürden bei der Identifizierung und Entwicklung der notwendigen Kompetenzen und organisationale Hürden der Kernorganisation.Praktische Relevanz: Aus der Analyse erfolgreicher und gescheiterter Vorhaben der beteiligten Partnerunternehmen wurden die wesentlichen Hürden identifiziert, die den Entwicklungserfolg verzögern oder behindern. Die Erkenntnisse wurden in mehrfacher iterativer Interaktion zwischen den Wissenschafts- und Praxispartnern reflektiert und schrittweise Ansätze entwickelt und Interventionen erprobt, wie die identifizierten Hürden überwunden werden können. Ein Praxisbeispiel eines projektbasierten Personalentwicklungsprogramms des beteiligten Unternehmens Wilo SE stellt einen Ansatz vor, wie diese Herausforderungen integriert angegangen und eigene Talente hierfür entwickelt werden können.
Trastuzumab Deruxtecan for Treating HER2-Positive Unresectable or Metastatic Breast Cancer After Two or More Anti-HER2 Therapies: An Evidence Review Group Perspective of a NICE Single Technology Appraisal
Authors: Houten Rachel , Fleeman Nigel , Mahon James , Chaplin Marty , Edwards Katherine , Beale Sophie , Boland Angela , Dundar Yenal , Marsden Ashley , Malik Zafar , Palmieri Carlo 
Published: April 2023

AbstractThe National Institute for Health and Care Excellence (NICE) provides guidance to improve health and social care in England and Wales. NICE invited Daiichi Sankyo to submit evidence for the use of trastuzumab deruxtecan (T-DXd) for treating human epidermal growth factor 2 (HER2)-positive unresectable or metastatic breast cancer (UBC/MBC) after two or more anti-HER2 therapies, in accordance with NICE’s Single Technology Appraisal process. The Liverpool Reviews and Implementation Group, part of the University of Liverpool, was commissioned to act as the Evidence Review Group (ERG). This article summarises the ERG’s review of the evidence submitted by the company and provides an overview of the NICE Appraisal Committee’s (AC’s) final decision made in May 2021. Results from the company’s base-case fully incremental analysis showed that, compared with T-DXd, eribulin and vinorelbine were dominated and the incremental cost-effectiveness ratio (ICER) per quality-adjusted life year (QALY) gained versus capecitabine was £47,230. The ERG scenario analyses generated a range of ICERs, with the highest being a scenario relating to a comparison of T-DXd versus capecitabine (£78,142 per QALY gained). The ERG considered that due to a lack of appropriate clinical effectiveness evidence, the relative effectiveness of T-DXd versus any comparator treatment could not be determined with any degree of certainty. The NICE AC agreed that the modelling of overall survival was highly uncertain and concluded that treatment with T-DXd could not be recommended for routine use within the National Health Service (NHS). T-DXd was, however, recommended for use within the Cancer Drugs Fund, provided Managed Access Agreement conditions were followed.
Truck platoon analysis for autonomous trucks
Authors: Fahad Mohammad , Nagy Richard 
Published: April 2023

AbstractSelection of optimum platoon pattern based on types of trucks inside the platoon, the number of trucks in the platoon, headway distance, interplatoon distance as well as the use of different lateral wander modes for autonomous trucks has been analyzed. The objective of this research is to study the impacts of axle configurations, truck grouping, headway distance and lateral wander options on the performance of truck platoons. Four different headway distances from 2 to 5 m are compared. The first platoon PT-1 only consists of semi trailers, the second platoon PT-2 only consists of rigid body trucks and the third platoon PT-3 consists of equally distributed random traffic mix. Analysis has been conducted using the dload subroutine for projecting zero wander and uniform wander movements for each truck in the platoon on a three layered pavement crossection at vehicle speeds of 90 km/h for a total of 15 years of pavement lifetime consisting of 1.4 million equivalent single axle loads in finite element software ABAQUS. Results show that PT-3 platoon yields the minimum accumulation of damaging strains when compared against other platoon types. A headway distance of 5 m is suggested when using a zero wander mode and 3 m when using a uniform wander mode. In case of zero wander mode, fatigue life of the pavement decreases by 1.2 years and the use of uniform wander mode delays the rutting by 1.6 years, thereby increasing lifetime of the pavement.
An Improvement in Maximum Likelihood Estimation of the Gompertz Distribution Parameters
Authors: Al-Shomrani Ali A. 
Published: April 2023

AbstractIn this study, we will look at estimating the parameters of the Gompertz distribution. We know that the maximum likelihood technique is the most often used method in the literature for parameter estimation. However, it is well known that the maximum likelihood estimators (MLEs) are biased for small sample sizes. As a result, we are motivated to produce nearly unbiased estimators for the parameters of this distribution. To be more specific, we concentrate on two bias-correction strategies (analytical and bootstrap approaches) to minimize MLE biases to the second order of magnitude. Monte Carlo simulations are used to compare the performances of these estimators. Finally, two real-data examples are offered to demonstrate the utility of our proposed estimators in small sample sizes.
SSA research on electromagnetic scattering in arid zone
Authors: Jiang Fengyun 
Published: April 2023

AbstractThis paper investigates the electromagnetic scattering characteristics in arid zone and proposes methods for monitoring and improving ecological agriculture, vegetation landscape and desertification in arid zone, based on the modified small slope approximation (SSA) electromagnetic scattering model. The dielectric properties of dryland soils are studied in the paper, and the variation curves of soil dielectric constant with humidity and electromagnetic frequency are plotted. In order to reproduce the geomorphological features of the dryland areas, a two-dimensional geometric model of the ground environment is established using Monte Carlo methods combined with Gaussian spectral functions. An algorithm model based on the modified SSA is developed, and the algorithm was validated and analyzed to verify its reliability. In the simulations, the southeastern region of Ejina Banner, Inner Mongolia was taken as a typical arid region, and the simulation parameters are obtained from the actual measurement data of the region. The study finds that the electromagnetic scattering characteristics of the arid zone are influenced by soil water content, ground roughness and incident wave electromagnetic frequency, and there is regularity. The results of this paper can be effectively combined with remote sensing technology to contribute to many researches on soil moisture inversion and ecological condition of vegetation, which are important in many aspects such as irrigation control, ecological research, vorticity covariance, and climatology of slope stability.
Substrate integrated waveguide pedestal filtering-antenna and -arrays for 5G radio frequency front-ends
Authors: Meyer Elmine , Vertegaal Cornelis , Johnson Leanne , Meyer Petrie , Johannsen Ulf 
Published: April 2023

AbstractThis paper presents the design, manufacturing, and measurement of a novel substrate integrated waveguide (SIW) pedestal filtering antenna solution for use in 5G New Radio sub-6 GHz communications. Miniaturization is achieved through the use of SIW pedestal resonators and integration of the radiating element into the filter design, resulting in higher order suppression. The design generates a third order filtering response utilizing SIW pedestal resonators and a patch antenna element. The manufactured SIW pedestal filtenna achieves a 10 dB return loss bandwidth of 4.29% about a center frequency of 3.63 GHz, and a boresight gain of 3.66 dBi. Using the SIW pedestal filtenna elements, two array configurations are measured, a 1 × 1 linear array and 2 × 2 planar array. Beam-steering capability for the linear array is demonstrated in simulation, while the 2 × 2 array is shown to be suited to both dual- and single-mode operation.
Quantifying the Benefits of Altimetry Assimilation in Seasonal Forecasts of the Upper Ocean
Authors: Widlansky Matthew J. , Long Xiaoyu , Balmaseda Magdalena A. , Spillman Claire M. , Smith Grant , Zuo Hao , Yin Yonghong , Alves Oscar , Kumar Arun 
Published: April 2023

AbstractSatellite altimetry measurements of sea surface height provide near‐global ocean state observations on sub‐monthly time scales, which are not always utilized by seasonal climate forecasting systems. As early as the mid‐1990s, attempts were made to assimilate altimetry observations to initialize climate models. These experiments demonstrated improved ocean forecasting skill, especially compared to experiments that did not assimilate subsurface ocean temperature information. Nowadays, some operational climate forecasting models utilize altimetry in their assimilation systems, whereas others do not. Here, we assess the impact of altimetry assimilation on seasonal prediction skill of ocean variables in two climate forecasting systems that are from the European Centre for Medium‐Range Weather Forecasts (SEAS5) and the Australian Bureau of Meteorology (ACCESS‐S). We show that assimilating altimetry improves the initialization of subsurface ocean temperatures, as well as seasonal forecasts of monthly variability in upper‐ocean heat content and sea level. Skill improvements are largest in the subtropics, where there are typically less subsurface ocean observations available to initialize the forecasts. In the tropics, there are no noticeable improvements in forecast skill. The positive impact of altimetry assimilation on forecast skill related to the subsurface ocean does not seem to affect predictions of sea surface temperature. Whether this is because current forecasting systems are close to the potential predictability limit for the ocean surface, or perhaps altimetry observations are not fully exploited, remains a question. In summary, we find that utilizing altimetry observations improves the overall global ocean forecasting skill, at least for upper‐ocean heat content and sea level.