bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adsorption and mitigation impact of the monosodium glutamate (C5H8NO4Na) bio-molecules on the steel rebar corrosion in the chloride-contaminated simulated concrete pore solution
Authors: Mohammadkhah Sahel , Dehghani Ali , Ramezanzadeh Bahram 
Published: July 2023

AbstractCorrosion has caused significant annual costs for building construction and civil architectural designs. In this study, Monosodium glutamate (GLU) was proposed as a potential candidate for long-lasting corrosion inhibition to slow down the rate of corrosion in the concrete pore environment. In this regard, the electrochemical and morphological properties of the various GLU concentrated systems between 1 to 5 wt% in the simulated concrete pore solution media were investigated. According to the EIS results, adding 4 wt% of GLU could reduce the mild steel corrosion process by 86% through a mixed inhibition mechanism. Also, the polarization records represented that the samples’ corrosion current density was diminished to 0.169 µA cm−2 after the addition of 4 wt% GLU into the harsh environment. Using the FE-SEM method, the growth of the GLU layer over the metal substrate was demonstrated. The results of spectroscopic methods, i.e., Raman and GIXRD, demonstrated that GLU molecules were successfully adsorbed over the surface of the metal. Contact angle test outcomes showed that by increasing the GLU concentration to its optimum level (4 wt%), the surface hydrophobicity was dramatically raised to 62°.
ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation
Authors: Hauer Christopher , Nöth Elmar , Barnhill Alexander , Maier Andreas , Guthunz Julius , Hofer Heribert , Cheng Rachael Xi , Barth Volker , Bergler Christian 
Published: July 2023

AbstractAcoustic identification of vocalizing individuals opens up new and deeper insights into animal communications, such as individual-/group-specific dialects, turn-taking events, and dialogs. However, establishing an association between an individual animal and its emitted signal is usually non-trivial, especially for animals underwater. Consequently, a collection of marine species-, array-, and position-specific ground truth localization data is extremely challenging, which strongly limits possibilities to evaluate localization methods beforehand or at all. This study presents ORCA-SPY, a fully-automated sound source simulation, classification and localization framework for passive killer whale (Orcinus orca) acoustic monitoring that is embedded into PAMGuard, a widely used bioacoustic software toolkit. ORCA-SPY enables array- and position-specific multichannel audio stream generation to simulate real-world ground truth killer whale localization data and provides a hybrid sound source identification approach integrating ANIMAL-SPOT, a state-of-the-art deep learning-based orca detection network, followed by downstream Time-Difference-Of-Arrival localization. ORCA-SPY was evaluated on simulated multichannel underwater audio streams including various killer whale vocalization events within a large-scale experimental setup benefiting from previous real-world fieldwork experience. Across all 58,320 embedded vocalizing killer whale events, subject to various hydrophone array geometries, call types, distances, and noise conditions responsible for a signal-to-noise ratio varying from$$-14.2$$-14.2 dB to 3 dB, a detection rate of 94.0 % was achieved with an average localization error of 7.01$$^\circ$$∘. ORCA-SPY was field-tested on Lake Stechlin in Brandenburg Germany under laboratory conditions with a focus on localization. During the field test, 3889 localization events were observed with an average error of 29.19$$^\circ$$∘and a median error of 17.54$$^\circ$$∘. ORCA-SPY was deployed successfully during the DeepAL fieldwork 2022 expedition (DLFW22) in Northern British Columbia, with a mean average error of 20.01$$^\circ$$∘and a median error of 11.01$$^\circ$$∘across 503 localization events. ORCA-SPY is an open-source and publicly available software framework, which can be adapted to various recording conditions as well as animal species.
SACTI model in prediction and assessment of large scale natural draft cooling tower environmental impact of nuclear power plant
Authors: Wang Xuan , Liu Shuhuan , Cao Peng , Song Jinsong , Wang Chengkai , Xu Shanwei , Zhu Shijie 
Published: July 2023

AbstractLarge Scale Natural Draft Cooling Tower has become a hot topic in China because it is an important part of the nuclear power plant, and its environmental impacts include shading, solar energy loss, water deposition and salt deposition. In China, there is no built large-scale natural draft cooling tower of nuclear power plant. Therefore, model prediction becomes an effective way to solve this problem. This paper introduces the basic principles and structure of SACTI (Seasonal and Annual Cooling Tower Impact) model. SACTI is a cooling tower assessment model developed by Argonne National Laboratory, USA. A comparative case study between China's Pengze Nuclear Power Plant and the US Amos Power Plant is also presented. Calculations were carried out for the Pengze and Amos power plants, and the results showed that the maximum value of salt deposition at the Pengze plant was about 166.5 kg/(km2-month) at a distance of 800 m from the cooling tower. The maximum value of salt deposition at the Amos plant was about 92.85 kg/(km2-month) at a distance of 600 m from the cooling tower. Conclusions show that the research work can provide a useful solution in future work, the simulation results of the SACTI model have a potential mean in the absence of monitoring data. This research provides a way to generate simulation data through SACTI program in the design process of nuclear power plant cooling tower, and designers can use these data to determine how the cooling tower will affect the natural environment and manage within an appropriate range to reduce the impact on the environment.
Potential of jackfruit inner skin fibre for encapsulation of probiotics on their stability against adverse conditions
Authors: Petsong Kantiya , Kaewthong Pensiri , Kingwascharapong Passakorn , Nilsuwan Krisana , Karnjanapratum Supatra , Tippayawat Patcharaporn 
Published: July 2023

AbstractThe aim of this study was to investigate the impact of jackfruit inner skin fibre (JS) incorporated with whey protein isolate (WPI) and soybean oil (SO) as a wall material for probiotic encapsulation to improve probiotic stability against freeze-drying and gastrointestinal (GI) tract conditions. Bifidobacterium bifidum TISTR2129, Bifidobacterium breve TISTR2130, and Lactobacillus acidophilus TISTR1338 were studied in terms of SCFA production and the antibiotic-resistant profile and in an antagonistic assay to select suitable strains for preparing a probiotic cocktail, which was then encapsulated. The results revealed that B. breve and L. acidophilus can be used effectively as core materials. JS showed the most influential effect on protecting probiotics from freeze-drying. WPI:SO:JS at a ratio of 3.9:2.4:3.7 was the optimized wall material, which provided an ideal formulation with 83.1 ± 6.1% encapsulation efficiency. This formulation presented > 50% probiotic survival after exposure to gastro-intestinal tract conditions. Up to 77.8 ± 0.1% of the encapsulated probiotics survived after 8 weeks of storage at refrigeration temperature. This study highlights a process and formulation to encapsulate probiotics for use as food supplements that could provide benefits to human health as well as an alternative approach to reduce agricultural waste by increasing the value of jackfruit inner skin.
Facile fabrication of Eu-based metal–organic frameworks for highly efficient capture of tetracycline hydrochloride from aqueous solutions
Authors: He Xue , Liu Yong , Wang Qicui , Wang Tao , He Jieli , Peng Anzhong , Qi Kezhen 
Published: July 2023

AbstractThe tetracycline hydrochloride (TCH) removal from wastewater is important for the environment and human health yet challenging. Herein, the Eu-based MOF, Eu(BTC) (BTC represents 1,3,5-trimesic acid) was prepared by an efficient and environmental-friendly strategy, and then was used for the TCH capture for the first time. The Eu(BTC) was characterized by different methods such as X-ray diffraction, scanning electron microscopy and Fourier-transform infrared spectroscopy. The TCH uptake of Eu(BTC) was investigated systematically. The influences of experiment conditions such as solution pH value, adsorption time and initial concentration on TCH capacity of Eu(BTC) were also studied. The Eu(BTC) obtained exhibited remarkable TCH uptake (qm was up to 397.65 mg/g), which was much higher than those of most materials such as UiO-66/PDA/BC (184.30 mg/g), PDA-NFsM (161.30 mg/g) and many carbon-based materials reported till now. Besides, the TCH adsorption behavior on Eu(BTC) was explored by Freundlich and Langmuir equations, and the adsorption mechanism was further analyzed. The experimental results suggested that the TCH adsorption mechanism of Eu(BTC) included the π–π interaction, electrostatic interaction and coordinate bonds. The excellent TCH adsorption performance and the efficient fabrication strategy make the Eu(BTC) prepared promising in TCH removal.
Change of the CP ENSO’s role in the occurrence frequency of Arctic daily warming events triggered by Atlantic storms
Authors: Wang Cen , Ren Baohua , Yang Chengyun , Zheng Jianqiu , Jiang Linwei 
Published: July 2023

AbstractArctic daily warming is gradually garnering the attention of academics. Here we discuss an interdecadal change around the mid-1980s in the role of the Central Pacific El Niño-Southern Oscillation (CP ENSO) in the occurrence frequency of Arctic daily warming events triggered by Atlantic storms in winter (called the Atlantic pattern-Arctic rapid tropospheric daily warming (A-RTDW) event) and the possible mechanism. Before the mid-1980s, the Central Pacific El Niño/La Niña events weakened/strengthened the Iceland Low (IL); the resulting anomalous northerly/southerly at the east of the IL prevented/favored the A-RTDW event occurrence by leading Atlantic storms away from/into the Arctic. Thus, the CP ENSO could affect the occurrence frequency of A-RTDW events by the CP ENSO/IL teleconnection. In contrast, this role hardly exists after the mid-1980s. Before the mid-1980s, the CP ENSO could affect the polar vortex by planetary wave propagation upwards into the stratosphere to create the CP ENSO/IL teleconnection; thereby, the CP ENSO and A-RTDW could establish a connection. However, after the mid-1980s, the planetary wave associated with CP ENSO could not propagate upwards into the stratosphere; thus, the ENSO/IL teleconnection disappears, resulting in CP ENSO having no effect on the occurrence frequency of A-RTDW events.
Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble
Authors: Zhang Jie , Wu Tongwen , Li Laurent , Furtado Kalli , Xin Xiaoge , Xie Chengjun , Zheng Mengzhe , Zhao He , Zhou Yumeng 
Published: July 2023

AbstractThe reliability of the near-land-surface air temperature (LSAT) projections from the state-of-the-art climate-system models that participated in the Coupled Model Intercomparison Project phase six (CMIP6) is debatable, particularly on regional scales. Here we introduce a method of constructing a constrained multi-model-ensemble (CMME), based on rejecting models that fail to reproduce observed LSAT trends. We use the CMME to constrain future LSAT projections under the Shared Socioeconomic Pathways 5–8.5 (SSP5–8.5) and 2–4.5 (SSP2–4.5), representing the high and intermediate scenarios. In comparison with the “raw” (unconstrained) CMIP6 multi-model ensemble (MME) mean, the impact of the observation-based constraint is less than 0.05oC 100 years−1 at a global scale over the second half of 21st century. However, the regional results show a wider range of positive and negative adjustments, from -1.0oC 100 years−1 to 1oC 100 years−1 under the SSP5–8.5 scenario. Although amplitude under SSP2–4.5 is relatively smaller, the CMME adjustment is similar to that under SSP5–8.5, indicating the scenario independency of the CMME impact. The ideal 1pctCO2 experiment suggests that the response of LSAT to carbon dioxide (CO2) forcing on regional scales is responsible for the MME biases in the historical period, implying the high reliability of CMME in the 21st century projections. The advantage of CMME is that it goes beyond the idea of “model democracy” assumed in MME. The unconstrained CMIP6 MME may be overestimating the risks of future warming over North America, but underestimating the risks over Asia.
Intermediately synchronised brain states optimise trade-off between subject specificity and predictive capacity
Authors: Sasse Leonard , Larabi Daouia I. , Omidvarnia Amir , Jung Kyesam , Hoffstaedter Felix , Jocham Gerhard , Eickhoff Simon B. , Patil Kaustubh R. 
Published: July 2023

AbstractFunctional connectivity (FC) refers to the statistical dependencies between activity of distinct brain areas. To study temporal fluctuations in FC within the duration of a functional magnetic resonance imaging (fMRI) scanning session, researchers have proposed the computation of an edge time series (ETS) and their derivatives. Evidence suggests that FC is driven by a few time points of high-amplitude co-fluctuation (HACF) in the ETS, which may also contribute disproportionately to interindividual differences. However, it remains unclear to what degree different time points actually contribute to brain-behaviour associations. Here, we systematically evaluate this question by assessing the predictive utility of FC estimates at different levels of co-fluctuation using machine learning (ML) approaches. We demonstrate that time points of lower and intermediate co-fluctuation levels provide overall highest subject specificity as well as highest predictive capacity of individual-level phenotypes.
Sequence variant affects GCSAML splicing, mast cell specific proteins, and risk of urticaria
Authors: Kristjansson Ragnar P. , Oskarsson Gudjon R. , Skuladottir Astros , Oddsson Asmundur , Rognvaldsson Solvi , Sveinbjornsson Gardar , Lund Sigrun H. , Jensson Brynjar O. , Styrmisdottir Edda L. , Halldorsson Gisli H. , Ferkingstad Egil , Eldjarn Grimur Hjorleifsson , Beyter Doruk , Kristmundsdottir Snædis , Juliusson Kristinn , Fridriksdottir Run , Arnadottir Gudny A. , Katrinardottir Hildigunnur , Snorradottir Margret H. , Tragante Vinicius , Stefansdottir Lilja , Ivarsdottir Erna V. , Bjornsdottir Gyda , Halldorsson Bjarni V. , Thorleifsson Gudmar , Ludviksson Bjorn R. , Onundarson Pall T. , Saevarsdottir Saedis , Melsted Pall , Norddahl Gudmundur L. , Bjornsdottir Unnur S. , Olafsdottir Thorunn , Gudbjartsson Daniel F. , Thorsteinsdottir Unnur , Jonsdottir Ingileif , Sulem Patrick , Stefansson Kari 
Published: July 2023

AbstractUrticaria is a skin disorder characterized by outbreaks of raised pruritic wheals. In order to identify sequence variants associated with urticaria, we performed a meta-analysis of genome-wide association studies for urticaria with a total of 40,694 cases and 1,230,001 controls from Iceland, the UK, Finland, and Japan. We also performed transcriptome- and proteome-wide analyses in Iceland and the UK. We found nine sequence variants at nine loci associating with urticaria. The variants are at genes participating in type 2 immune responses and/or mast cell biology (CBLB, FCER1A, GCSAML, STAT6, TPSD1, ZFPM1), the innate immunity (C4), and NF-κB signaling. The most significant association was observed for the splice-donor variant rs56043070[A] (hg38: chr1:247556467) in GCSAML (MAF = 6.6%, OR = 1.24 (95%CI: 1.20–1.28), P-value = 3.6 × 10-44). We assessed the effects of the variants on transcripts, and levels of proteins relevant to urticaria pathophysiology. Our results emphasize the role of type 2 immune response and mast cell activation in the pathogenesis of urticaria. Our findings may point to an IgE-independent urticaria pathway that could help address unmet clinical need.
Targeting the TCA cycle can ameliorate widespread axonal energy deficiency in neuroinflammatory lesions
Authors: Tai Yi-Heng , Engels Daniel , Locatelli Giuseppe , Emmanouilidis Ioanna , Fecher Caroline , Theodorou Delphine , Müller Stephan A. , Licht-Mayer Simon , Kreutzfeldt Mario , Wagner Ingrid , de Mello Natalia Prudente , Gkotzamani Sofia-Natsouko , Trovò Laura , Kendirli Arek , Aljović Almir , Breckwoldt Michael O. , Naumann Ronald , Bareyre Florence M. , Perocchi Fabiana , Mahad Don , Merkler Doron , Lichtenthaler Stefan F. , Kerschensteiner Martin , Misgeld Thomas 
Published: July 2023

AbstractInflammation in the central nervous system can impair the function of neuronal mitochondria and contributes to axon degeneration in the common neuroinflammatory disease multiple sclerosis (MS). Here we combine cell-type-specific mitochondrial proteomics with in vivo biosensor imaging to dissect how inflammation alters the molecular composition and functional capacity of neuronal mitochondria. We show that neuroinflammatory lesions in the mouse spinal cord cause widespread and persisting axonal ATP deficiency, which precedes mitochondrial oxidation and calcium overload. This axonal energy deficiency is associated with impaired electron transport chain function, but also an upstream imbalance of tricarboxylic acid (TCA) cycle enzymes, with several, including key rate-limiting, enzymes being depleted in neuronal mitochondria in experimental models and in MS lesions. Notably, viral overexpression of individual TCA enzymes can ameliorate the axonal energy deficits in neuroinflammatory lesions, suggesting that TCA cycle dysfunction in MS may be amendable to therapy.
Does climate action bring peace? Assessing the geopolitics of renewables using global investment data
Authors: Braunstein Juergen , Goldthau Andreas C. , Veit Konstantin 
Published: July 2023

AbstractThe transition toward renewables is central to climate action. The paper empirically tests whether renewables also enhance international peace, a hypothesis discussed in the International Political Economy (IPE) of renewables literature. It develops and tests hypotheses about the pacifying effects of renewables, with a view to establishing the foundations for analyzing more detailed causal mechanisms. These mechanisms rest on the ‘energy democracy’ debate, suggesting that a low carbon world sees less interstate tension thanks to more states being democratic; the ‘capitalist peace’ theorem, establishing that the deployment of renewables brings about economic development, reducing conflict; and the human security literature, positing that renewables reduce local-level reduce vulnerabilities, thus enhancing social stability and reducing violence. Using a longitudinal dataset on global renewable energy investment, econometric tests suggest that distributed renewable energy systems do not seem to foster democratic rule, nor do they have a significant influence on human development. Countering the energy democracy literature, it is a higher concentration of renewable investment that tends to increase stability/ absence of violence and human development, instead of decentralized investment patterns. We find no evidence for the ‘peace through prosperity’ argument. Overall, there is no support for the assumption that renewables bring about peace and reduce conflict. The paper critically discusses the limitations of these findings and suggests further avenues for empirical research.
Systematic review and individual participant data meta-analysis of randomized controlled trials assessing mindfulness-based programs for mental health promotion
Authors: Galante Julieta , Friedrich Claire ,   Collaboration of Mindfulness Trials (CoMinT), Aeamla-Or Napaporn , Arts-de Jong Marieke , Barrett Bruce , Bögels Susan M. , Buitelaar Jan K. , Checovich Mary M. , Christopher Michael S. , Davidson Richard J. , Errazuriz Antonia , Goldberg Simon B. , Greven Corina U. , Hirshberg Matthew J. , Huang Shu-Ling , Hunsinger Matthew , Hwang Yoon-Suk , Jones Peter B. , Medvedev Oleg N. , Rosenkranz Melissa A. , Schellekens Melanie P. J. , Siebelink Nienke M. , Singh Nirbhay N. , Speckens Anne E. M. , Tang Feng-Cheng , Tomfohr-Madsen Lianne , Dalgleish Tim , Jones Peter B. , White Ian R. 
Published: July 2023

AbstractMindfulness-based programs (MBPs) are widely used to prevent mental ill health. Evidence suggests beneficial average effects but wide variability. We aimed to confirm the effect of MBPs and to understand whether and how baseline distress, gender, age, education, and dispositional mindfulness modify the effect of MBPs on distress among adults in non-clinical settings. We conducted a systematic review and individual participant data (IPD) meta-analysis (PROSPERO CRD42020200117). Databases were searched in December 2020 for randomized controlled trials satisfying a quality threshold and comparing in-person, expert-defined MBPs with passive-control groups. Two researchers independently selected, extracted and appraised trials using the revised Cochrane Risk-of-Bias tool. IPD of eligible trials were sought from authors. The primary outcome was psychological distress (unpleasant mental or emotional experiences including anxiety and depression) at 1 to 6 months after program completion. Data were checked and imputed if missing. Pairwise, random-effects, two-stage IPD meta-analyses were conducted. Effect modification analyses followed a within-studies approach. Stakeholders were involved throughout this study. Fifteen trials were eligible; 13 trialists shared IPD (2,371 participants representing 8 countries. In comparison with passive-control groups, MBPs reduced average distress between 1 and 6 months post-intervention with a small to moderate effect size (standardized mean difference, −0.32; 95% confidence interval, −0.41 to −0.24;P < 0.001; no heterogeneity). Results were robust to sensitivity analyses and similar for the other timepoint ranges. Confidence in the primary outcome result is high. We found no clear indication that this effect is modified by the pre-specified candidates. Group-based teacher-led MBPs generally reduce psychological distress among volunteering community adults. More research is needed to identify sources of variability in outcomes at an individual level.
Die dissoziative Identitätsstörung transtheoretisch
verstehen und behandeln: Ein Fallbericht
Authors: Kratzer Leonhard , Heinz Peter , Eckenberger Christine , Schröder Johanna 
Published: July 2023

ZusammenfassungDie dissoziative Identitätsstörung ist die schwerste dissoziative
Störung und kann in ihrer Komplexität weder durch das
Trauma-Modell noch durch das soziokognitive Modell hinreichend erklärt
werden. Transtheoretische Modelle legen eine Interaktion von traumatischen
Erfahrungen mit kulturellen, kognitiven und sozialen Einflüssen
für die Ätiopathogenese des Störungsbildes nahe. Daraus
ergeben sich bedeutende Impulse für die Behandlung, in der neben einer
Verarbeitung traumatischer Erinnerungen auch eine Verbesserung der
Emotionsregulation sowie eine Modifikation dysfunktionaler Annahmen über
das Gedächtnis erfolgen sollte. Einer Ausgestaltung von
Teilidentitäten sollte kein Vorschub geleistet werden. Ein derartiges
therapeutisches Vorgehen im Rahmen stationärer Psychotherapie wird
beschrieben.