bluuebunny/crossref_metadata_2025_split huggingface dataset:
(−)‐Epicatechin gallate ameliorates cyprodinil‐induced cardiac developmental defects through inhibiting aryl hydrocarbon receptor in zebrafish
Authors: Huang Dongqin , Su Yuchao , Li Mingmei , Xie Chengwei , Hu Weibin , Wang Shuxiang , Zheng Nanmei , Chen Jianhui , Lin Yueyun , Cai Weize , Xiao Jianjia , Chen Baojia , Hu Nanping , Zhou Fushan 
Published: May 2024

AbstractBackgroundCyprodinil is a widely used fungicide with broad‐spectrum activity, but it has been associated with cardiac abnormalities. (−)‐Epicatechin gallate (ECG), a natural polyphenolic compound, has been shown to possess protective properties in cardiac development.MethodsIn this study, we investigated whether ECG could mitigate cyprodinil‐induced heart defects using zebrafish embryos as a model. Zebrafish embryos were exposed to cyprodinil with or without ECG.ResultsOur results demonstrated that ECG significantly improved the survival rate, embryo movement, and hatching delay induced by cyprodinil. Furthermore, ECG effectively ameliorated cyprodinil‐induced cardiac developmental toxicity, including pericardial anomaly and impairment of cardiac function. Mechanistically, ECG attenuated the cyprodinil‐induced alterations in mRNA expression related to cardiac development, such as amhc, vmhc, tbx5, and gata4, as well as calcium ion channels, such as ncx1h, atp2a2a, and cdh2. Additionally, ECG was found to inhibit the activity of the aryl hydrocarbon receptor (AhR) signaling pathways induced by cyprodinil.ConclusionsIn conclusion, our findings provide evidence for the protective effects of ECG against cyprodinil‐induced cardiac developmental toxicity, mediated through the inhibition of AhR activity. These findings contribute to a better understanding of the regulatory mechanisms and safe utilization of pesticide, such as cyprodinil.
Teacher perspectives on enhancing wellbeing education through integrating arts‐based practices
Authors: Moar Sigrid , Burke Katie , Watson Marthy 
Published: May 2024

AbstractWellbeing education (WE) is increasingly offered among secondary schools internationally to promote the physical, social, emotional and mental health of young people. Current and emerging evidence proposes that scope exists for the enhancement of universal WE, and that arts‐based approaches have significant potential for school programmes in enhancing the effectiveness of WE. This sits alongside a growing body of international literature that connects arts engagement with positive mental wellbeing across age groups. Existing research also shows that the evaluation of the goals, pedagogy and student engagement within WE from the perspectives of teachers is uncommon. To this end, this qualitative research investigated teacher perspectives on the potential for arts‐based WE. Through an asynchronous group interview, 10 Australian secondary school arts teachers with expertise in a variety of visual and performing arts education reflected on current WE in light of their arts teaching practice, exploring possibilities for enhancement through art‐based practices. Thematic analysis using a socio‐ecological framework reveals strong support for arts‐based WE, noting positive potential for arts engagement to facilitate increased teacher and student autonomy, relationship building, safe and inclusive environments, and enjoyable, embodied learning within WE.
Optical design of low‐location illumination based on asymmetric double freeform surfaces
Authors: Chen Ai Lin , Zhang Yun Cui , Xie Xu Fen , Liang Jing , Xu Zhe , Zhang Kun , Mu Zong Han , Jiang Bo 
Published: May 2024

AbstractThe development of optical optics for low‐location road lighting is a challenging problem in providing high luminance and uniformity of illumination and meeting many other specific requirements. This study proposes an optical design method of low‐location illumination based on an asymmetric double freeform surface lens. The ray emitted from the light source is refracted and reflected through the different surface types to the corresponding area of the receiving surface. In the design example, the road has dual‐side mounted luminaires and a width of 6 m, and a height of 0.8 m. Simulation results indicate that, compared with conventional high‐pole streetlights, the luminance uniformity had increased from 0.60 to 0.66, the illuminance uniformity had improved from 0.75 to 0.86, and the glare had been reduced.
Contrast‐enhanced transcranial Doppler for the detection of right‐to‐left shunt: A new provocation method with a syringe‐modified Valsalva maneuver
Authors: Deng Jinfeng , Luo Yan , Luo Shijian , Zhan Hongrui , Zhou Feng , Li Songbiao 
Published: May 2024

AbstractBackgroundContrast‐enhanced transcranial Doppler (cTCD) study has been established as one of the most common investigations for detecting right‐to‐left shunt (RLS). Although the conventional Valsalva maneuver (c‐VM) has been used to increase the sensitivity of cTCD for RLS, efforts are still needed to improve the detection rate further. We proposed a new provocation method with a syringe‐modified Valsalva maneuver (sm‐VM) during cTCD and compared the efficacy of this strategy with cTCD measured at resting and with the provocation of c‐VM.MethodsConsecutive patients with suspicion of RLS who underwent cTCD in our institution between September 27, 2021, and April 1, 2022, were included in this study. Examination of cTCD was performed separately at the resting state and provoked with c‐VM and sm‐VM. The overall proportion of patients with RLS and their distribution with different RLS grades were compared.ResultsA total of 389 patients (mean age: 49.37 years, male: 52.2%) were included in this study. The positive rate for RLS was significantly higher for cTCD detected with sm‐VM than those detected at resting state and with c‐VM (46.8% vs. 21.6% and 34.2%, all p < .05). Besides, cTCD detected with sm‐VM was also associated with a higher proportion of patients with grade III RLS than those detected at resting state and with c‐VM (11.3% vs. 1.8% and 0%, all p < .05).ConclusionsCompared to cTCD detected at resting state and with c‐VM, cTCD with sm‐VM could further increase the positive detection rate of RLS.
Nucleating amoeboid cancer cell motility with Diaphanous related formins
Authors: Kar Neelakshi , Logue Jeremy S. 
Published: May 2024

AbstractThe tissue invasive capacity of cancer cells is determined by their phenotypic plasticity. For instance, mesenchymal to amoeboid transition has been found to facilitate the passage of cancer cells through confined environments. This phenotypic transition is also heavily regulated by the architecture of the actin cytoskeleton, which may increase myosin contractility and the intracellular pressure that is known to drive bleb formation. In this review, we highlight several Diaphanous related formins (DRFs) that have been found to promote or suppress bleb formation in cancer cells, which is a hallmark of amoeboid migration. Based on the work discussed here, the role of the DRFs in cancer(s) is worthy of further scrutiny in animal models, as they may prove to be therapeutic targets.
Implementation and testing of single point positioning on IRNSS/NavIC receiver data
Authors: Vyas Mahek , Gajjar Sachin , Asit Upadhyay Manisha , Acharya Rajat 
Published: May 2024

SummaryIndia has developed its own regional navigation satellite system called the Indian Regional Navigation Satellite System (IRNSS), also known as Navigation with Indian Constellation (NavIC). IRNSS/NavIC provides standard positioning and timing services for civilians and restricted services for authorized users. In this paper, single point positioning is implemented on the NavIC receiver data. Estimation techniques of the least squares method and extended Kalman filter are implemented after applying broadcast‐based clock corrections, orbit computation, relative time correction, and ionosphere delay correction for single and dual frequency. A data extraction and storage module is developed to store computed parameters at every intermediate stage in separate files. This is followed by an error plotter module to plot the extracted parameters for each satellite and to separately analyze their performance and the obtained errors. The estimated receiver position is visualized on Google Earth. The absolute error in both estimation techniques ranges between 5 and 15 m throughout the period.
Wi‐Fi fingerprint‐based indoor location: Multiple fingerprints and multiple classifiers with two‐layer fusion weights
Authors: Liu Na , Liu Zhixin , Gao Jie , Yuan Yazhou , Yan Chan Kit 
Published: May 2024

SummaryIndoor location based on Wi‐Fi fingerprint has attracted extensive attention recently, since it only requires a mobile device and existing network; it does not require additional infrastructure and hardware. However, localization using only received signal strength fingerprint is susceptible to dynamic environments and device heterogeneity. Localization using signal strength differences fingerprint and hyperbolic location fingerprint which extracted from received signal strength fingerprint is a powerful measure to overcome the device heterogeneity. Existing fusion‐based methods do not fully use of the mutual fusion function of multiple fingerprints, which leads to low positioning accuracy. In order to further improve the positioning accuracy, we propose a multifingerprint multiclassifier and two‐layer fusion weight positioning model. The proposed approach first creates a multiple fingerprints group by gleaning signal strength differences fingerprint and hyperbolic location fingerprint from received signal strength fingerprint. In order to deal with the accuracy decline caused by a single classifier in complex scenes, three typical classifiers, random forest (RF), K‐nearest neighbor (KNN), and support vector machine (SVM), are adopted, and a fusion weight selection algorithm is proposed to improve the localization accuracy by choosing fusion weights intelligently from the two‐layer fusion weights. Experiment results show that the proposed scheme is effective to resolve device heterogeneity, and the position accuracy is improved about 16.9% and 5.8%, respectively, compared with single fingerprint and classifier schemes. The results show that, compared with the single fingerprint scheme, the position accuracy is improved at least 16.9% and 28.4% for the homogeneous and heterogeneous equipments, respectively; as for the proposed multiclassifier fusion method, it achieves at least 5.8% and 8.7% accuracy improvement for the cases with homogeneous and heterogeneous equipments, respectively, compared with other traditional classifiers such as RF, KNN, and SVM.
Efficient Photocatalytic System based on Schiff‐Base Type Hybrid Polymers for Energy Conversion and Water Treatment
Authors: Tan Xin , Cui Zheng , Ai Haoqiang , Song Xiaohan , Teng Qi , Du Yajing 
Published: May 2024

AbstractIn this contribution, a new Schiff‐base hybrid cross‐linked polymer (TFPT‐SHCP) derived from triazine derivatives and silsesquioxanes was developed, and its photocatalytic performance was systematically investigated. Compared with traditional organic Schiff base catalysts, in TFPT‐SHCP, organic inorganic hybrid silsesquioxanes monomers at the molecular level can serve as a sturdy host backbone, bringing structural ultrastability to the final material. And their excellent strength and durability make them have good application prospects in water treatment. Furthermore, the introduction of triazine derivatives with excellent photoelectric performance and the construction of −C=N‐ result in excellent photocatalytic performance of TFPT‐SHCP. The as‐prepared TFPT‐SHCP exhibits excellent degradation capacity of various organic pollutants under visible light catalysis, with degradation rate constants for Congo Red (CR), rhodamine B (RB) and tetracycline hydrochloride (TH) reaching 0.302 min−1, 0.121 min−1, 0.161 min−1, respectively. Under simulated outdoor conditions, dye solutions with concentrations up to 500 ppm can be degraded to complete decolorization within 5 weeks. This work demonstrates the enormous potential of POSS‐based Schiff base materials as a platform for visible light catalysts, paving the way for the pre design and functionalization of related materials in the future.
Adjunctive hiking bouts during 8 weeks regular sailing training improves cardiorespiratory and muscular responses during hiking emulation in highly trained sailors
Authors: Pan Dandan , Sun Kaiyang , Liu Xiuxia 
Published: May 2024

AbstractTo investigate the effects of 8‐week hiking bench training on cardiorespiratory and muscular responses of highly trained sailors during hiking emulation. Twenty‐four sailors were assigned into two groups: the hiking bench training group (HTG, n = 12) and the control group (CG, n = 12). Both groups maintained their regular training with the HTG performed two additional hiking bench training sessions per week for 8 weeks, while the CG performed an equivalent duration of on‐water sailing training. Physiological responses were assessed by performing four successive 3‐min hiking bouts on a sailing emulation ergometer before and after the 8‐week training period. Comparing the pretest, both groups exhibited a significant decrease (p < 0.05) in the percentage of maximal oxygen uptake (%VO2max) and maximal heart rate (%HRmax); the HTG experienced a greater decrease in %VO2max in bouts 2 and 3. The root mean square (RMS) of rectus femoris (RF), vastus lateralis (VL), rectus abdominis (RA), and external oblique decreased significantly (p < 0.05), whereas the mean power frequency (MPF) of RF, VL, and RA exhibited an increasing trend. The RMS of RF and RA in HTG were lower than those in CG in the initial three bouts; VL and EA in HTG were lower than those in CG in bouts 1 and 2 (p < 0.05). The MPF of RA in HTG was significantly increased in bouts 2, 3, and 4 (p < 0.05). Eight‐week hiking bench training could improve hiking economy and the activation of lower limb and trunk muscles delaying the onset of fatigue in sailors.
Evaluating the effect of ambient air temperature on the sustainability aspect of naphtha‐based gas turbine power plant
Authors: Arpit Sankalp 
Published: May 2024

AbstractThe exergy‐based sustainability indices have been a cause of concern for gas turbine power plant as its performance is very sensitive to air temperature. Hence, the present study evaluates the impact of atmospheric air temperature on exergy sustainability and ecological function of a naphtha‐based gas turbine power plant using EES. The outcome of the study shows that combustion chamber (CC_1) needs more attention compared with other components present, and it has least improvement potential as compared with other components. Further while carrying out parametric analysis with respect to ambient air, it was observed that for a 1.1°C increase in atmospheric air temperature a reduction in sustainability index about 0.66% was observed respectively, for GT_1. Thus, this study established that the power plant's exergy sustainability performance has a negative impact at high ambient air temperatures on exergy sustainability indices.
Suicidal thoughts and attempts in a transdiagnostic eating disorder sample: Do diagnostic severity criteria predict risk?
Authors: Schmidt Kendall , Fitzgerald Elizabeth , Keel Pamela 
Published: May 2024

AbstractObjectiveEating disorders (EDs) are associated with elevated suicide. Low body mass index (BMI) and frequency of purging and binge eating represent severity criteria for EDs and distinguish full‐threshold EDs from other specified feeding and eating disorders (OSFED). However, no work has taken a transdiagnostic approach to studying whether severity of these or other features is associated with suicidal ideation (SI) and attempts.MethodWe examined diagnostic status, ED features, and SI and attempts in a large, transdiagnostic, community sample of 257 women with EDs and 45 controls without a current or past ED in the United States using the EDs Examination interview and the Structured Clinical Interview for the DSM‐5 (Diagnostic and Statistical Manual of Mental Disorders).ResultsSI and suicide attempts (SA) were elevated in OSFED compared to controls but did not differ between OSFED and full‐threshold EDs. Higher BMI predicted increased SI. Number of purging methods, but not frequency, was related to history of SA. Binge episode frequency and size were not significant predictors.ConclusionsOSFED presents with elevated SI and SA, and ED severity criteria that distinguish OSFED from full‐threshold EDs do not predict SI or SA. Suicide risk assessments should be implemented universally across EDs in clinical practice.
Economic feasibility of using agrivoltaics for tomato farming
Authors: Rabasoma Kago , Jenkins Nicholas , Ekanayake Janaka 
Published: May 2024

AbstractAgrivoltaics or agrophotovoltaics (APV), which simply describes farming under a canopy of PV panels, has been recently gaining a wider implementation to improve farming yields as well as generate electricity on the same piece of land. The presented study undertakes an economic analysis to justify the implementation of agrivoltaics in a tomato farm. Three research cases are investigated; Case 1 is the control scenario which is just ordinary tomato farming that is used as a baseline. And then there are Cases 2 and 3, which are low‐density and high‐density agrivoltaics, respectively. The farm is irrigated from a borehole using a diesel generator in Case 1 and solar pumps in the Agrivoltaics Cases 2 and 3. The study found that tomato harvest is reduced by a minimum of 16% in agrivoltaics setup. However, this reduced harvest is compensated by the PV output. The payback period has been calculated considering the capital costs of the PV system and other operational costs within the farm, and it is found that Case 2 and Case 3 have 3 years and 3.6 years payback periods, respectively. While on the other hand, ordinary tomato farming is unattractive with a lengthy payback period of 17.5 years. Net present value analysis is also used to determine the profitability of the three scenarios over a 10‐year period, and the agrivoltaics scenarios are calculated to be profitable while ordinary tomato farming is not profitable. Therefore, this study justifies economic investment in agrivoltaics for tomato farming in Botswana.
Traffic flow prediction: A 3D adaptive multi‐module joint modeling approach integrating spatial‐temporal patterns to capture global features
Authors: Ul Abideen Zain , Sun Xiaodong , Sun Chao 
Published: May 2024

AbstractThe challenges in citywide traffic flow are intricate, encompassing various factors like temporal and spatial dependencies, holidays, and weather. Despite the complexity, there are still research gaps in effectively incorporating these spatio‐temporal relations through deep learning. Addressing these gaps is crucial for tackling issues such as traffic congestion, public safety, and efficient traffic management within cities. This paper underscores notable research gaps, including the development of models capable of handling both local and global traffic flow patterns, integrating multi‐modal data sources, and effectively managing spatio‐temporal dependencies. In this paper, we proposed a novel model named 3D spatial–temporal‐based adaptive modeling graph convolutional network (3D(STAMGCN)) that addresses for traffic flow data in better periodicity modeling. In contrast to earlier studies, 3D(STAMGCN) approaches the task of traffic flow prediction as a periodic residual learning problem. This is achieved by capturing the input variation between historical time segments and the anticipated output for future time segments. Forecasting traffic flow, as opposed to a direct approach, is significantly simpler when focusing on learning more stationary deviations. This, in turn, aids in the training of the model. Nevertheless, the networks enable residual generation at each time interval through learned variations between future conditions and their corresponding weekly observations. Consequently, this significantly contributes to achieving more accurate forecasts for multiple steps ahead. We executed extensive experiments on two real‐world datasets and compared the performance of our model to state‐of‐the‐art (SOTA) techniques.
Lived environmentalisms: Everyday encounters and difference in Australia's north
Authors: Pickerill Jenny 
Published: May 2024

AbstractThis paper focuses on everyday encounters between environmentalists and Indigenous activists during a dispute around a proposed gas hub development in the Kimberley, NW Australia, to explore the possibilities of practising environmentalism differently. It makes visible the complexity, contestations and dilemmas of putting environmentalism into practice in particular places and calls for the specificness of how environmentalisms are negotiated and developed through encounters to be more carefully attended to. It draws on 32 face‐to‐face in‐depth interviews conducted with activists from national Australian environmental organisations working in the Kimberley, Kimberley‐based environmental groups, Kimberley Indigenous organisations, participant observations at protest camp site visits and analysis of campaign literature. Closely interrogating lived environmentalisms—how environmentalists put into practice their values in everyday encounters—reveals not only evidence of white environmentalists expanding their conceptions of the environment beyond dualisms and engaging with multispecies justice, but also a hesitancy and complexity in supporting Indigenous self‐determination and a limited capacity to challenge colonial‐capitalist frameworks.
Fabrication of new in‐situ ternary nano/microcomposite LDH/Ag2O/Bayerite in trimetallic NiAg/Al layered double hydroxides for CO2 capture material
Authors: Wihadi Muh. Nur Khoiru 
Published: May 2024

AbstractWe reported new in‐situ ternary nano/microcomposite layered double hydroxides/Ag2O/bayerite in trimetallic NiAg/Al layered double hydroxides (LDH) via hydrothermal technique; and characterization by powder X‐ray diffraction (XRD), Fourier transforms infrared spectroscopy (FT‐IR), field emission scanning electron microscopy (FE‐SEM), energy dispersive spectroscopy (EDS), and N2 adsorption‐desorption. The formation of bayerite and silver oxide species on the LDH nanosheet depended on the excess of Al3+ and Ag+ in the solution under alkaline and hydrothermal conditions. The nitrogen isotherm adsorption profile for all ternary composites exhibited uniformity with mesoporous and lamellar characteristics. The surface area of all the composites ranged from 81.17 to 150.23 m2. g−1, the Barret‐Joyner‐Halenda (BJH) pore volume from 0.22 to 0.27 cm3. g−1, and the average pore diameter ranged from 3.47 to 5.78 nm. All composites show a laminar plate‐like structure covered with elongated pieces. The particle size of the composites ranged from 54.86 to 115.96 nm, indicating the size changed from nano to microcomposite because of the different molar ratios of Ag and Ni in the solid. The ternary composite reveals CO2 capture activity with adsorption capacity ranging from 13.93 to 19.61 mmol g−1. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.