bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hormesis effects of phenol on growth and cellular metabolites of Chlorella sp. under different nutritional conditions using response surface methodology
Authors: Gomaa Mohamed , El-Naeb Eman H. , Hifney Awatief F. , Adam Mahmoud S. , Fawzy Mustafa A. 
Published: March 2023

AbstractThe present study investigated the effects of different phenol concentrations (200 – 1000 mg L−1) towards Chlorella sp. under different culture conditions (light vs. dark) and NaNO3 concentrations (0 – 0.1 g L−1) using central composite design. Phenol induced hormesis effects on the algal growth and cellular metabolites. Nitrate was identified as a crucial factor for promoting the uptake of phenol by Chlorella cells, while light was a limiting factor for growth, but the phyco-toxicity of phenol was decreased in the dark. The pigment contents were generally increased in the treated cells to protect against the oxidative phenol stress. The incorporation of 200 mg L−1 phenol and 0.05 g L−1 NaNO3 to the illuminated cells markedly promoted biomass and lipid contents to 0.22 g L−1 and 26.26% w/w, which was 44 and 112% higher than the phenol-less control, respectively. Under the same conditions, the increase of phenol concentration to 600 mg L−1, the protein contents were increased to 18.59% w/w. Conversely, the algal cells were able to accumulate more than 60% w/w of soluble carbohydrates under dark conditions at 600 mg L−1 of phenol. Nitrate replete conditions stimulated lipid accumulation at the expense of protein biosynthesis. Furthermore, most of the treatments showed an increase of H2O2 and malonaldehyde contents, especially for the illuminated cells. However, catalase activity tended to increase under dark conditions, especially at low phenol and nitrate concentrations. This study is valuable in indicating the effects of phenol on microalgae by exploiting response surface methodology, which can be applied as a powerful tool in growth monitoring and toxicity assessment.
Using a Nominal Group Technique to Develop a Science Communication Curriculum for Health Professionals and Clinical Researchers
Authors: Giuliani Meredith Elana , Papadakos Tina , Coolens Catherine , Fregnani Jose , Gebhardt Philipp , Julius Anet , Pramesh C. S. , Quartey Naa Kwarley , Papadakos Janet 
Published: March 2023

AbstractEffective science communication is
fundamental to closing the gap from research and innovation to clinical implementation. Existing paradigms of science communication are often challenged by a lack of skill and engagement, particularly from those who progress the science. Currently, a standardized curriculum on science communication, with global applicability, does not exist. The purpose of this project is to address the gap in training by health professionals and clinical researchers through the development of a globally relevant curriculum for science communication. The nominal group technique (NGT) was used whereby a convenience sample of eleven science communication experts from across the globe generated, discussed, and arrived at a consensus on topics that should be included in a standardized science communication curriculum. Experts represented diverse backgrounds within the health sciences. Due to the COVID-19 pandemic and geographical constraints, the NGT was conducted virtually. The consensus-building methodology allowed for each expert to equally present ideas and collaborate with one another to create a robust and comprehensive curriculum for effective science communication. Expert panelists reached a consensus on 10 essential components of a standardized global science communication curriculum. Following the refinement of the curriculum topic areas, a virtual meeting with project co-investigators was held to review the topics and discuss relevance, applicability, and appeal to the local contexts. A standardized science communication curriculum is needed for health professionals and clinical researchers. The NGT achieved expert consensus on the core topics. The next steps are to develop the course ensuring optimal participation from learners across the globe.
Impacts of Climate Change on Snow Avalanche Activity Along a Transportation Corridor in the Tianshan Mountains
Authors: Hao Jiansheng , Zhang Xueqin , Cui Peng , Li Lanhai , Wang Yan , Zhang Guotao , Li Chaoyue 
Published: March 2023

AbstractSnow avalanches can repeatedly occur along the same track under different snowpack and meteorological conditions during the snow season in areas of snow avalanche activity. The snowfall, air temperature, and snow cover can change dramatically in a warming climate, causing significant changes in the snow avalanche risk. But how the risk of snow avalanche activity during the snow season will change under a warming climate remains an open question. Based on the observed meteorological and snowpack data from 1968 to 2021 and the snow avalanche activity data during the 2011–2021 snow seasons along a transportation corridor in the central Tianshan Mountains that has a typical continental snow climate, we analyzed the temporal distribution of the snow avalanche activity and the impacts of climate change on it. The results indicate that the frequency of the snow avalanche activity is characterized by a Gaussian bimodal distribution, resulting from interactions between the snowfall, air temperature, and snowpack evolution. In addition, the active period of wet snow avalanches triggered by temperature surges and high solar radiation has gradually moved forward from the second half to the first half of March with climate warming. The frequency and size of snowfall-triggered snow avalanches showed only a slight and insignificant increase. These findings are important for rationally arranging snow avalanche relief resources to improve the risk management of snow avalanche disasters, and highlight the necessity to immediately design risk mitigation strategies and disaster risk policies to improve our adaptation to climate change.
Characterization of threats in IoT from an MQTT protocol-oriented dataset
Authors: Muñoz Castañeda Ángel Luis , Mata José Antonio Aveleira , Aláiz-Moretón Héctor 
Published: March 2023

AbstractNowadays, the cybersecurity of Internet of Thing (IoT) environments is a big challenge. The analysis of network traffic and the use of automated estimators built up with machine learning techniques have been useful in detecting intrusions in traditional networks. Since the IoT networks require new and particular protocols to control the communications between the different devices involved in the networks, the knowledge acquired in the study of general networks may be unuseful some times. The goal of this paper is twofold. On the one hand, we aim to obtain a consistent dataset of the network traffic of an IoT system based on the Message Queue Telemetry Transport protocol (MQTT) and undergoing certain type of attacks. On the other hand, we want to characterize each of these attacks in terms of the minimum possible number of significant variables allowed by this protocol. Obtaining the data set has been achieved by studying the MQTT protocol in depth, while its characterization has been addressed through a hybrid (filter/wrapper) feature selection algorithm based on the idea behind the minimum-redundancy maximum-relevance (mRMR) algorithm. The dataset, together with the feature selection algorithm, carries out a characterization of the different attacks which is optimal in terms of the accuracy of the machine learning models trained on it as well as in terms of the capability of explaining their underlying nature. This confirms the consistency of the dataset.
Innovative technology for ammonia abatement from livestock buildings using advanced oxidation processes
Authors: Prostějovský Tomáš , Kulišťáková Alena , Reli Martin , Žebrák Radim , Kočí Kamila 
Published: March 2023

AbstractThe feasibility of using advanced oxidation processes (AOPs) for abatement of ammonia from livestock buildings was examined in a series of pilot plant experiments. In this study, all the experiments were conducted in a two-step unit containing a dry photolytic reactor (UV185/UV254/O3) and a photochemical scrubber (UV254/H2O2). The unit efficiency was tested for two initial ammonia concentrations (20 and 35 ppmv) and three different air flows (150, 300 and 450 m3·h−1). While the first step removes mainly organic pollutants that are often present together with ammonia in the air and ammonia only partially, the second step removes around 90% of ammonia emissions even at the highest flow rate of 450 m3·h−1. Absorbed ammonia in the aqueous phase can be effectively removed without adjusting the pH (i.e. without the addition of other additives) using UV and ozone. Complete removal of ammonia was achieved after 15 h of irradiation. In order to assess the price efficiency of the suggested technology and to be able to compare it with other methods the figures-of-merit were determined. The price needed for lowering ammonia emission by one order of magnitude is 0.002 € per cubic meter of treated air at the highest flow rate of 450 m3·h−1 and for initial ammonia concentrations of 20 ppmv. These findings demonstrate that AOPs are a promising method for ammonia abatement from livestock buildings which are rarely using any waste air treatment method.
Characterizing burnout among healthcare epidemiologists in the early phases of the COVID-19 pandemic: A study of the SHEA Research Network
Authors: Smith Tucker John Guy , Pryor Rachel , Hota Susy S. , Haessler Sarah D. , Deloney Valerie M. , Bearman Gonzalo 
Published: March 2023

Abstract
A multisite research team proposed a survey to assess burnout among healthcare epidemiologists. Anonymous surveys were disseminated to eligible staff at SRN facilities. Half of the respondents were experiencing burnout. Staffing shortages were a key stressor. Allowing healthcare epidemiologists to provide guidance without directly enforcing policies may improve burnout.
Successful ingredients of effective Collaborative Care programs in low- and middle-income countries: A rapid review
Authors: Whitfield Jessica , Owens Shanise , Bhat Amritha , Felker Bradford , Jewell Teresa , Chwastiak Lydia 
Published: March 2023

Abstract
Integrating mental health care in primary healthcare settings is a compelling strategy to address the mental health treatment gap in low- and middle-income countries (LMICs). Collaborative Care is the integrated care model with the most evidence supporting its effectiveness, but most research has been conducted in high-income countries. Efforts to implement this complex multi-component model at scale in LMICs will be enhanced by understanding the model components that have been effective in LMIC settings. Following Cochrane Rapid Reviews Methods Group recommendations, we conducted a rapid review to identify studies of the effectiveness of Collaborative Care for priority adult mental disorders of mhGAP (mood and anxiety disorders, psychosis, substance use disorders and epilepsy) in outpatient medical settings in LMICs. Article screening and data extraction were performed using Covidence software. Data extraction by two authors utilized a checklist of key components of effective interventions. Information was aggregated to examine how frequently the components were applied. Our search yielded 25 articles describing 20 Collaborative Care models that treated depression, anxiety, schizophrenia, alcohol use disorder or epilepsy in nine different LMICs. Fourteen of these models demonstrated statistically significantly improved clinical outcomes compared to comparison groups. Successful models shared key structural and process-of-care elements: a multi-disciplinary care team with structured communication; standardized protocols for evidence-based treatments; systematic identification of mental disorders, and a stepped-care approach to treatment intensification. There was substantial heterogeneity across studies with respect to the specifics of model components, and clear evidence of the importance of tailoring the model to the local context. This review provides evidence that Collaborative Care is effective across a range of mental disorders in LMICs. More work is needed to demonstrate population-level and longer-term outcomes, and to identify strategies that will support successful and sustained implementation in routine clinical settings.
A central limit theorem for conservative fragmentation chains
Authors: Rubenthaler Sylvain 
Published: March 2023

AbstractWe are interested in a fragmentation process. We observe fragments frozen when their sizes are less than
$\varepsilon$
(
$\varepsilon>0$
). It is known (Bertoin and Martínez, 2005) that the empirical measure of these fragments converges in law, under some renormalization. Hoffmann and Krell (2011) showed a bound for the rate of convergence. Here, we show a central limit theorem, under some assumptions. This gives us an exact rate of convergence.
Population genomics of helminth parasites
Authors: Thorn C.S. , Maness R.W. , Hulke J.M. , Delmore K.E. , Criscione C.D. 
Published: March 2023

Abstract
Next generation sequencing technologies have facilitated a shift from a few targeted loci in population genetic studies to whole genome approaches. Here, we review the types of questions and inferences regarding the population biology and evolution of parasitic helminths being addressed within the field of population genomics. Topics include parabiome, hybridization, population structure, loci under selection and linkage mapping. We highlight various advances, and note the current trends in the field, particularly a focus on human-related parasites despite the inherent biodiversity of helminth species. We conclude by advocating for a broader application of population genomics to reflect the taxonomic and life history breadth displayed by helminth parasites. As such, our basic knowledge about helminth population biology and evolution would be enhanced while the diversity of helminths in itself would facilitate population genomic comparative studies to address broader ecological and evolutionary concepts.
Right cervical aortic arch associated with anomaly of epiaortic vessels and haemodynamically significant obstruction between ascending and descending aorta. Extra-anatomic bypass graft between ascending and descending aorta and long-term follow-up
Authors: Cavalla Francesca , Cipriani Adriano 
Published: March 2023

AbstractRight cervical aortic arch is a rare malformation in which a right-sided aortic arch is unusually long, forms a loop, descends, and crosses behind the oesophagus to continue as a left descending aorta. We present a case of right cervical aortic arch associated with anomaly of epiaortic vessels and aortic obstruction, surgically treated with extra-anatomic bypass graft between ascending and descending aorta.
Hybrid approach for end-stage heart failure treatment in a 6-month-old baby
Authors: Castaldi Biagio , Padalino Massimo , Sirico Domenico , Guariento Alvise , Vida Vladimiro , Di Salvo Giovanni 
Published: March 2023

AbstractA 6-month-old baby girl, with a history of 2 months of intensive care management and two episodes of cardiac arrest, was transferred from another European country to initiate the “Giessen approach” for end-stage heart failure in children. At the admission, left ventricular ejection fraction was 20%. Severe mitral valve regurgitation and severe left atrial dilatation were present. Right ventricular function was preserved, and tricuspid valve regurgitation was mild. As a result, the patient underwent surgical pulmonary artery banding. Additionally, unloading of the left atrium was achieved by implanting an 8 mm atrial flow regulator device through a hybrid per-atrial approach. Two months after the procedure, the patient was progressively weaned from the inotropes and transferred to the ward.
Missouri natural resource professionals share key insights for supporting agroforestry practices through cost-share funding available from USDA conservation programs
Authors: Kronenberg Raelin , Lovell Sarah , Hall Damon , Harmon-Threatt Alexandra 
Published: March 2023

Abstract
Agroforestry plantings offer a promising ecologically based solution to address agricultural resource concerns while simultaneously achieving conservation goals, because they provide multiple benefits including reduced soil erosion, decreased nutrient runoff, increased biodiversity and greater farm income stability. Despite these benefits, the adoption of agroforestry practices remains low throughout the United States. One approach intended to increase the implementation of these ecologically beneficial practices is to offer financial incentives for landowners. Several USDA conservation programs provide applicant landowners with financial and technical resources to implement approved conservation practices, including tree planting. Missouri offers a unique socio-political context for the application of agroforestry tree plantings in established conservation programs as it is currently the only state with an Environmental Quality Incentives Program fund pool dedicated to agroforestry and woody crop establishment. To gather initial information on the potential for agroforestry in Missouri, seven conservation professionals from prominent agencies, including Natural Resource Conservation Service and University of Missouri Extension, were interviewed. The purpose of these interviews was to gather in-depth knowledge on (1) the current dialogue around trees in conservation programs between natural resource professionals and landowners (2) the relationships between landowners and conservation agencies and (3) the professionals' knowledge of and familiarity with agroforestry practices. Preliminary findings suggest there are misconceptions about the requirements and regulations for conservation programs among landowners and conservation professionals. Another common theme was that conservation agencies face challenges in forming long-term connections with landowners, and they rely primarily on landowners to reach out for assistance. Lastly, conservation professionals are supportive of agroforestry but wish for greater knowledge of the practices before promoting them to landowners. Due to the small sample size of interview participants, these insights provide one perspective into the agroforestry knowledge of natural resource professionals. These initial findings will help direct future research on how well natural resource professionals understand agroforestry concepts and how they are engaging with Missouri farmers to support them in planting trees on their land.
Legal systems and stock market efficiency: an empirical analysis of stock indices around the world
Authors: Diniz-Maganini Natalia , Rasheed Abdul A. , Yaşar Mahmut 
Published: March 2023

AbstractWe examine whether the differences in the legal origins of countries (Common Law versus Civil Law) can explain the variations in the price efficiencies of the stock markets of different countries. Based on multifractal detrended fluctuation analysis of the daily stock indices of 34 countries over 21 years, we find that the stock price indices in Common Law origin countries show greater price efficiency than the stock price indices in Civil Law countries. These results provide additional evidence that the legal origins of countries affect their economic activities and outcomes.
Middle–Late Cenozoic Stepwise Deformation Propagation in Eastern Tibet
Authors: Tao Yaling , Zhang Huiping , Zhao Xudong , Wang Ying , Ma Zifa 
Published: March 2023

AbstractThe uplift and deformation styles of the Tibetan Plateau have been long debated on stepwise growth and crustal channel flow. Here, we offer new insight into this issue by constraining the pulsed exhumation history of the Yalong thrust belt in eastern Tibet, using apatite and zircon (U–Th)/He data from three ∼1 km vertical transects. The results revealed two rapid cooling pulses in the Late Oligocene (∼24 Ma, 50°C/m.y.) and the Middle Miocene (17–14 Ma, 35 °C/m.y.), respectively, which we ascribe to the staged‐thrusting faulting of this belt. These thrust faulting events indicated upward and eastward growth of the Tibetan Plateau, further suggested that the high topographic relief across the Yalong thrust belt mainly formed (at least) since the Late Oligocene. The available documents from paleoaltimetry, basin sediment accumulation, and thermochronometers and our new results reveal a regional‐scale stepwise propagation pattern of tectonic deformation during the Middle–Late Cenozoic in eastern Tibet.
Ion‐Scale Magnetic Flux Rope Generated From Electron‐Scale Magnetopause Current Sheet: Magnetospheric Multiscale Observations
Authors: Hasegawa H. , Denton R. E. , Dokgo K. , Hwang K.‐J. , Nakamura T. K. M. , Burch J. L. 
Published: March 2023

AbstractWe present in‐depth analysis of three southward‐moving meso‐scale (ion‐to magnetohydrodynamic‐scale) flux transfer events (FTEs) and subsequent crossing of a reconnecting magnetopause current sheet (MPCS), which were observed on 8 December 2015 by the Magnetospheric Multiscale spacecraft in the subsolar region under southward and duskward magnetosheath magnetic field conditions. We aim to understand the generation mechanism of ion‐scale magnetic flux ropes (ISFRs) and to reveal causal relationship among magnetic field structures, electromagnetic energy conversion, and kinetic processes in magnetic reconnection layers. Results from magnetic field reconstruction methods are consistent with a flux rope with a length of about one ion inertial length growing from an electron‐scale current sheet (ECS) in the MPCS, supporting the idea that ISFRs can be generated through secondary reconnection in an ECS. Grad‐Shafranov reconstruction applied to the three FTEs shows that the FTEs had axial orientations similar to that of the ISFR. This suggests that these FTEs also formed through the same secondary reconnection process, rather than multiple X‐line reconnection at spatially separated locations. Four‐spacecraft observations of electron pitch‐angle distributions and energy conversion rate suggest that the ISFR had three‐dimensional magnetic topology and secondary reconnection was patchy or bursty. Previously reported positive and negative values of , with magnitudes much larger than expected for typical MP reconnection, were seen in both magnetosheath and magnetospheric separatrix regions of the ISFR. Many of them coexisted with bi‐directional electron beams and intense electric field fluctuations around the electron gyrofrequency, consistent with their origin in separatrix activities.
Current and Future Global Lake Methane Emissions: A Process‐Based Modeling Analysis
Authors: Zhuang Qianlai , Guo Mingyang , Melack John M. , Lan Xin , Tan Zeli , Oh Youmi , Leung L. Ruby 
Published: March 2023

AbstractFreshwater ecosystem contributions to the global methane budget remains the most uncertain among natural sources. With warming and accompanying carbon release from thawed permafrost and thermokarst lake expansion, the increase of methane emissions could be large. However, the impact and relative importance of various factors related to warming remain uncertain. Based on diverse lake characteristics incorporated in modeling and observational data, we calibrate and verify a lake biogeochemistry model. The model is then applied to estimate global lake methane emissions and examine the impacts of temperature increase for the first and the last decades of the 21st century under different climate scenarios. We find that current emissions are 24.0 ± 8.4 Tg CH4 yr−1 from lakes larger than 0.1 km2, accounting for 11% of the global total natural source as estimated based on atmospheric inversion. Future projections under the RCP8.5 scenario suggest a 58%–86% growth in emissions from lakes. Our model sensitivity analysis indicates that additional carbon substrates from thawing permafrost may enhance methane production under warming in the Arctic. Warming enhanced methane oxidation in lake water can be an effective sink to reduce the net release from global lakes.