bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contraction of the rigor actomyosin complex drives bulk hemoglobin expulsion from hemolyzing erythrocytes
Authors: Shirakashi Ryo , Sisario Dmitri , Taban Danush , Korsa Tessa , Wanner Sophia B. , Neubauer Julia , Djuzenova Cholpon S. , Zimmermann Heiko , Sukhorukov Vladimir L. 
Published: November 2022

AbstractErythrocyte ghost formation via hemolysis is a key event in the physiological clearance of senescent red blood cells (RBCs) in the spleen. The turnover rate of millions of RBCs per second necessitates a rapid efflux of hemoglobin (Hb) from RBCs by a not yet identified mechanism. Using high-speed video-microscopy of isolated RBCs, we show that electroporation-induced efflux of cytosolic ATP and other small solutes leads to transient cell shrinkage and echinocytosis, followed by osmotic swelling to the critical hemolytic volume. The onset of hemolysis coincided with a sudden self-propelled cell motion, accompanied by cell contraction and Hb-jet ejection. Our biomechanical model, which relates the Hb-jet-driven cell motion to the cytosolic pressure generation via elastic contraction of the RBC membrane, showed that the contributions of the bilayer and the bilayer-anchored spectrin cytoskeleton to the hemolytic cell motion are negligible. Consistent with the biomechanical analysis, our biochemical experiments, involving extracellular ATP and the myosin inhibitor blebbistatin, identify the low abundant non-muscle myosin 2A (NM2A) as the key contributor to the Hb-jet emission and fast hemolytic cell motion. Thus, our data reveal a rapid myosin-based mechanism of hemolysis, as opposed to a much slower diffusive Hb efflux.
Tracking wildlife diseases using community science: an example through toad myiasis
Authors: Szentivanyi Tamara , Vincze Orsolya 
Published: November 2022

AbstractParasite and pathogen surveillance is crucial for understanding trends in their distributions and host spectra, as well as to document changes in their population dynamics. Nevertheless, continuous surveillance is time-consuming, underfunded due to the non-charismatic nature of parasites/pathogens, and research infrastructure is usually limited to short-term surveillance efforts. Species observation data provided by the public can contribute to long-term surveillance of parasites using photographic evidence of infections shared on community science platforms. Here, we used public photo repositories to document the occurrence across space and time of Lucilia spp. (Diptera: Calliphoridae), a parasite inducing nasal toad myiasis in the European toad Bufo bufo (Anura: Bufonidae). We found a total of 262 toad myiasis observations on iNaturalist (n = 132), on GBIF (n = 86), on Flickr (n = 41), and on observation.org (n = 3). Our results indicate that the distribution of toad myiasis is regionally limited, despite its host being widely distributed and abundant across a wide region in Europe. Observations were found in 12 countries with relatively low prevalence, including Belgium (3.90%, CI 2.44–6.18), Denmark (1.26%, CI 0.89–1.80), France (0.45%, CI 0.14–1.38), Germany (1.27%, CI 0.92–1.75), Lithuania (0.50%, CI 0.13–1.98), Luxembourg (1.30%, CI 0.42–3.95), the Netherlands (2.71%, CI 1.61–4.52), Poland (0.89%, CI 0.34–2.35), Russia (Kaliningrad Oblast) (4.76%, CI 0.67–27.14), Switzerland (NA), Ukraine (0.87%, CI 0.12–5.91), and in the UK (0.45%, CI 0.28–0.72). Nevertheless, the number of uploaded observations of both parasite infection and host presence indicates a stable increase likely due to the growing popularity of community science websites. Overall, community science is a useful tool to detect and monitor certain wildlife diseases and to recognize potential changes in disease dynamics through time and space.
Control strategies for transport networks under demand uncertainty
Authors: Göttlich Simone , Schillinger Thomas 
Published: November 2022

AbstractIn this article, we consider transport networks with uncertain demands. Network dynamics are given by linear hyperbolic partial differential equations and suitable coupling conditions, while demands are incorporated as solutions to stochastic differential equations. For the demand satisfaction, we solve a constrained optimal control problem. Controls in terms of network inputs are then calculated explicitly for different assumptions. Numerical simulations are performed to underline the theoretical results.
Training of Lived Experience Workforces: A Rapid Review of Content and Outcomes
Authors: Opie Jessica E. , McLean Siân A. , Vuong An T. , Pickard Heather , McIntosh Jennifer E. 
Published: November 2022

AbstractRecently, the lived and living experience (LLE) workforce in mental health and alcohol and other drugs (AOD) sectors has expanded. Despite widespread benefit of this inclusion, some LLE practitioners have encountered personal and professional challenges in their workforce roles. An essential avenue to address these challenges is through provision of training to ensure adequate LLE role preparation, and to support integration of LLE workforces within mental health and AOD settings. We aim to understand the primary components applied in LLE training programs (i.e., content and methods), the outcomes from program participation, and to summarize observed patterns between training components and outcomes. This rapid review utilized a systematic methodology following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to synthesize existing literature on training programs for service users or carers/family in lived experience roles, in the mental health and AOD workforce. We searched CINAHL, PsycINFO, Medline, and Web of Science databases. We identified 36 relevant studies. Findings indicate short- and long-term impacts of training participation for this emerging workforce, with the most promising outcomes being increased professional knowledge and skills and improved personal psychosocial wellbeing and trauma recovery. Other positive training outcomes included high trainee satisfaction, increased application of training skills, and employment/education opportunities following training completion. Gaps and training limitations were noted in relation to the training content/delivery, trainee reservations, and personal barriers to training participation or completion. In response to program benefits and limitations investigated, we present recommendations for improving training processes for this workforce.
The formation of the 8˚20’ N seamount chain, east pacific rise
Authors: Romano Valentina , Gregg Patricia M. , Zhan Yan , Fornari Daniel J. , Perfit Michael R. , Wanless Dorsey , Battaglia Maurizio , Anderson Molly 
Published: November 2022

AbstractNear-axis seamounts provide a unique setting to investigate three-dimensional mantle processes associated with the formation of new oceanic crust and lithosphere. Here, we investigate the characteristics and evolution of the 8˚20’N Seamount Chain, a lineament of seamounts that extends ~ 175 km west of the East Pacific Rise (EPR) axis, just north of the fracture zone of the Siqueiros Transform Fault. Shipboard gravity, magnetic, and bathymetric data acquired in 2016 are utilized to constrain models of seamount emplacement and evolution. Geophysical observations indicate that these seamounts formed during four distinct episodes of volcanism coinciding with changes in regional plate motion that are also reflected in the development of intra-transform spreading centers (ITSCs) along the Siqueiros transform fault (Fornari et al. 1989; Pockalny et al. 1997). Although volcanism is divided into distinct segments, the magnetic data indicate continuous volcanic construction over long portions of the chain. Crustal thickness variations along the chain up to 0.75 km increase eastward, inferred from gravity measurements, suggest that plate reorganization has considerably impacted melt distribution in the area surrounding the Siqueiros-EPR ridge transform intersection. This appears to have resulted in increased volcanism and the formation of the 8˚20’N Seamounts. These findings indicate that melting processes in the mantle and subsequently the formation of new oceanic crust and lithosphere are highly sensitive to tectonic stress changes in the vicinity of fast-spreading transform fault offsets.
Neutrino-Induced Decay: A Critical Review of the Arguments
Authors: Pommé S. , Pelczar K. 
Published: November 2022

AbstractThere has been scientific debate about speculations that ‘neutrino-induced’ radioactive decay causes apparent violations of the exponential-decay law. Sturrock and others repeatedly publish papers asserting influences by solar and cosmic neutrinos on radioactive decay measurements and therefrom draw conclusions about space science that are highly speculative. Recurrent themes in their work are claims that the solar neutrino flux reveals oscillations at a monthly rate which can be linked to solar rotation, that annual and monthly oscillations occur in radioactive decay rates or directionality of emitted radiation which can be linked to variations in solar and cosmic neutrino flux hitting Earth’s surface, and that unstable radioactivity measurements can be used as a source of information about the interior of the Sun and dark matter. Radionuclide metrologists have extensively investigated and refuted their arguments. Metrological evidence shows that radioactive decay does not violate the exponential-decay law and is not a probe for variations in solar neutrino flux. In this review paper, the main arguments of Sturrock are listed and counterarguments are presented. Reference is made to earlier published work in which the evidence has been scrutinised in detail.
RETRACTED ARTICLE: Ameliorative role of nanocurcumin against the toxicological effects of novel forms of Cuo as nanopesticides: a comparative study
Authors: Abdel-Azeem Abeer M. , Abdel-Rehiem Eman S. , Farghali Ahmed A. , Khidr Fatma K. , Abdul-Hamid Manal 
Published: November 2022

AbstractCopper oxide nanoparticles (CuONPs) have a wide range of uses in agricultural applications. Nanocurcumin (NCur) acts as an antioxidant treatment. The goal of the study is to reduce the toxicity resulting from the use of CuONPs as nanopesticides on living organisms by inducing changes in the morphological shape of CuONPs or treating it with NCur. So, we induced a comparative study between three shapes of CuONPs: CuO nanosphere (CuONSp), CuO nanosheet (CuONS), and CuO nanoflower (CuONF). We characterize each nano-form by using X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscope (HRTEM), and Zetasizer HT device; 36 rats were divided into six groups (n = 6): 1st group was the control group; 2nd group received 50 mg/kg/day of NCur orally for 30 days; 3rd, 4th, and 5th groups received orally 50 mg/kg/day of CuONSp, CuONS, and CuONF, respectively, for 30 days; 6th group received 50 mg/kg/day CuONSp plus 50 mg/kg/day of NCur orally for 30 days. An elevation occurred in malondialdehyde (MDA), liver and kidney functions, tumor necrosis factor-alpha (TNF-α), and B-cell lymphoma 2 (Bcl2) by CuONSp > CuONS > CuONF, respectively. An inhibition occurred in glutathione (GSH), superoxidase (SOD) catalase (CAT), apoptotic Bax gene (Bax), histopathological, and ultrastructural alterations by CuONSp < CuONS < CuONF, respectively. NCur ameliorated these alternations. In conclusion, CuONF is a better form compared to other forms of nanopesticide in agriculture due to its lower toxicity. NCur decreased the biological alternations which induced by CuONSp due to its antioxidant and anti-apoptotic properties.
Graphical Abstract
Living labs in the context of the UN sustainable development goals: state of the art
Authors: Leal Filho Walter , Ozuyar Pinar Gokcin , Dinis Maria Alzira Pimenta , Azul Anabela Marisa , Alvarez María Garcia , da Silva Neiva Samara , Salvia Amanda Lange , Borsari Bruno , Danila Andreea , Vasconcelos Claudio Ruy 
Published: November 2022

AbstractThis paper reports on a comprehensive study, which has investigated the approaches, methods and tools being deployed in implementing living labs among higher education institutions (HEIs) around the world. Two methods were employed. First, a bibliometric analysis of the current emphasis given to living labs in a sustainable development context and in the implementation of the Sustainable Development Goals (SDGs). Second, an empirical study aimed at identifying the use levels of living labs at HEIs. This was accomplished through an analysis of selected case studies that showcased successful approaches to SDGs implementation with living labs, and resulted in a framework for action. There are three main findings from these analyses. The first is that the multidisciplinary character of living labs in the context of sustainable development needs to be considered, to maximize their impacts. Second, most of the studied living labs focus on SDGs 4 and 11, which deal with providing quality education and ensuring the sustainable development of cities and communities. Third, the challenges encountered in the implementation of living labs refer to (1) the complexities in institutional administration, (2) the tensions between different groups of interest that need to be addressed by enhanced communication, and (3) the necessity to pay attention to the demand of using sustainability and innovation as a strategy in the operations of living labs. The paper draws from the experiences and lessons learned and suggests specific measures, which will improve the use of living labs as more systemic tools towards the implementation of the SDGs.
Body mass index (BMI) influence on Cetuximab-induced antibody-dependent cellular cytotoxicity in advanced colon cancer
Authors: Tralongo Antonino Carmelo , Caspani Francesca , Proserpio Ilaria , Volpi Lisa , Campiotti Leonardo 
Published: November 2022

AbstractTo date, we do not know if the excess of the body mass index (BMI) improves or worsens the outcomes in colorectal cancer treatment, and the correlation between BMI and prognosis remains unclear. A recent study in vitro showed a significant negative correlation between BMI and Cetuximab-induced antibody-dependent cellular cytotoxicity. On these bases, we tried to analyze the potential correlation between BMI and survival in patients affected by metastatic colorectal cancer (mCRC) and treated with Cetuximab. Retrospective data were collected from 132 patients affected by mCRC treated with Cetuximab in monotherapy or association with chemotherapy between January 2007 and October 2019. The cohort of patients was divided into different groups according to the World Health Organization (WHO) BMI classification: underweight (BMI < 18.59), normal weight (BMI 18.5–24.9,) overweight (BMI 25–29.9), and obese (BMI > 30), and we observed the influence of BMI on survival and treatment response. Patients with BMI ≥ 25 had statistically significantly better survival than patients BMI < 25 (19 vs 10 months, p = 0.025). Dividing the sample into the four WHO BMI categories, the best survival rates were seen in the overweight and obese subgroups (18 and 26 months respectively, p < 0.01). The multivariate analysis confirmed BMI as the only parameter able to influence survival. No correlation between BMI and treatment response was seen between BMI ≥ 25 and BMI ≤ 24 groups (p = 0.14). Our experience suggests that mild obese and overweight patients treated with Cetuximab could experience a better survival. We also observed that among normal weight, overweight, and mild obese patients, there is a better response to immunochemotherapy in comparison with underweight patients, but this difference does not reach a significative statistical value.
Detecting DNA damage in stored blood samples
Authors: Schulze Johann Kristina , Bauer Hannah , Wiegand Peter , Pfeiffer Heidi , Vennemann Marielle 
Published: November 2022

AbstractSeveral commercially available quantitative real-time PCR (qPCR) systems enable highly sensitive detection of human DNA and provide a degradation index (DI) to assess DNA quality. From routine casework in forensic genetics, it was observed that DNA degradation in forensic samples such as blood samples stored under sub-optimal conditions leads to visible effects in multiplex analyses of short tandem repeat markers (STRs) due to decreased amplification efficiencies in longer amplicons. It was further noticed that degradation indices often remain below the value that is considered to be critical. Thus, the aim of this work was to systematically analyze this effect and to compare conventional qPCR assays with a modified qPCR approach using uracil DNA glycosylase (UNG) and DNA quality assessment methods based on electrophoresis. Blood samples were stored at three different storage temperatures for up to 316 days. Significantly increased DNA recovery was observed from samples stored at high temperatures (37 °C) compared samples stored at room temperature and 4 °C. We observed typical effects of degradation in STR analyses but no correlation between DI and storage time in any of the storage conditions. Adding UNG slightly increased the sensitivity of detecting DNA degradation in one of the qPCR kits used in this study. This observation was not confirmed when using a second qPCR system. Electrophoretic systems did also not reveal significant correlations between integrity values and time. Methods for detecting DNA degradation are usually limited to the detection of DNA fragmentation, and we conclude that degradation affecting forensic STR typing is more complex.
How Personality, Emotions and Situational Characteristics Affect Learning from Social Interactions in the Workplace
Authors: Leiß Tamara Vanessa , Rausch Andreas 
Published: November 2022

AbstractThe present study examines the effects of social interactions’ situational characteristics, emotions, and personality on self-perceived learning from social interactions at work based on diary and survey data. The sample comprises 43 German vocational education and training (VET) trainees in various apprenticeship programs. During the diary period of ten working days, the participants were instructed to record five typical social interactions at work every day. Quantitative data of 1,328 social interactions were analyzed by means of multilevel analysis. Regarding social interactions’ characteristics, the analysis revealed the baseline level of instrumentality, an interruption of the social interaction, its instrumentality and questions asked by the trainee during the interaction as positive predictors of self-perceived learning. A trainee’s higher speech proportion, however, was a negative predictor. Regarding state emotions, the emotional experiences of bored and motivated were identified as significant positive predictors of learning from social interactions at work. Emotions’ baseline level as well as personality traits had no significant influence. The results indicate that social interactions’ situational characteristics have the biggest influence on self-perceived learning from social interactions.
A sensitization strategy for highly efficient blue fluorescent organic light-emitting diodes
Authors: Duan Yalei , Guo Runda , Wang Yaxiong , Di Kaiyuan , Wang Lei 
Published: November 2022

AbstractHighly efficient blue fluorescent materials have recently attracted great interest for organic light-emitting diode (OLED) application. Here, two new pyrene based organic molecules consisting of a highly rigid skeleton, namely SPy and DPy, are developed. These two blue light emitters exhibit excellent thermal stability. The experiment reveals that the full-width at half-maximum (FWHM) of the emission spectrum can be tuned by introducing different amounts of 9,9-diphenyl-N-phenyl-9H-fluoren-2-amine on pyrene units. The FWHM of the emission spectrum is only 37 nm in diluted toluene solution for DPy. Furthermore, highly efficient blue OLEDs are obtained by thermally activated delayed fluorescence (TADF) sensitization strategy. The blue fluorescent OLEDs utilizing DPy as emitters achieve a maximum external quantum efficiency (EQE) of 10.4% with the electroluminescence (EL) peak/FWHM of 480 nm/49 nm. Particularly, the EQE of DPy-based device is boosted from 2.6% in non-doped device to 10.4% in DMAc-DPS TADF sensitized fluorescence (TSF) device, which is a 400% enhancement. Therefore, this work demonstrates that the TSF strategy is promising for highly efficient fluorescent OLEDs application in wide-color-gamut display field.
Graphical Abstract
Machine learning for optimizing daily COVID-19 vaccine dissemination to combat the pandemic
Authors: Oyewola David Opeoluwa , Dada Emmanuel Gbenga , Misra Sanjay 
Published: November 2022

Abstract
Introduction
Vaccines are the most important instrument for bringing the pandemic to a close and saving lives and helping to reduce the risks of infection. It is important that everyone has equal access to immunizations that are both safe and effective. There is no one who is safe until everyone gets vaccinated. COVID-19 vaccinations are a game-changer in the fight against diseases. In addition to examining attitudes toward these vaccines in Africa, Asia, Oceania, Europe, North America, and South America, the purpose of this paper is to predict the acceptability of COVID-19 vaccines and study their predictors.

Materials and methods
Kaggle datasets are used to estimate the prediction outcomes of the daily COVID-19 vaccination to prevent a pandemic. The Kaggle data sets are classified into training and testing datasets. The training dataset is comprised of COVID-19 daily data from the 13th of December 2020 to the 13th of June 2021, while the testing dataset is comprised of COVID-19 daily data from the 14th of June 2021 to the 14th of October 2021. For the prediction of daily COVID-19 vaccination, four well-known machine learning algorithms were described and used in this study: CUBIST, Gaussian Process (GAUSS), Elastic Net (ENET), Spikes, and Slab (SPIKES).

Results
Among the models considered in this paper, CUBIST has the best prediction accuracy in terms of Mean Absolute Scaled Error (MASE) of 9.7368 for Asia, 2.8901 for America, 13.2169 for Oceania, and 3.9510 for South America respectively.

Conclusion
This research shows that machine learning can be of great benefit for optimizing daily immunization of citizens across the globe. And if used properly, it can help decision makers and health administrators to comprehend immunization rates and create strategies to enhance them.
Identifying the determinants of lapse rates in life insurance: an automated Lasso approach
Authors: Reck Lucas , Schupp Johannes , Reuß Andreas 
Published: November 2022

AbstractLapse risk is a key risk driver for life and pensions business with a material impact on the cash flow profile and the profitability. The application of data science methods can replace the largely manual and time-consuming process of estimating a lapse model that reflects various contract characteristics and provides best estimate lapse rates, as needed for Solvency II valuations. In this paper, we use the Lasso method which is based on a multivariate model and can identify patterns in the data set automatically. To identify hidden structures within covariates, we adapt and combine recently developed extended versions of the Lasso that apply different sub-penalties for individual covariates. In contrast to random forests or neural networks, the predictions of our lapse model remain fully explainable, and the coefficients can be used to interpret the lapse rate on an individual contract level. The advantages of the method are illustrated based on data from a European life insurer operating in four countries. We show how structures can be identified efficiently and fed into a highly competitive, automatically calibrated lapse model.