bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flooding of a carbonate platform: The Sian Kaʼan Wetlands, Yucatán, Mexico—A model for the formation and evolution of palustrine carbonate factories around the modern Caribbean Sea and in the depositional record
Authors: Platt Nigel H. , Wright V. Paul 
Published: December 2022

AbstractThe dynamic inter‐relationships between marine and freshwater carbonate depositional environments are illustrated in the Sian Ka'an Wetlands, a 5 280 km2complex of groundwater‐fed freshwater marshes, lakes and brackish coastal lagoons in the South‐East Yucatán Peninsula (Mexico). The Yucatán Platform was subaerially emergent and extensively karstified during the last glacial maximum at 18, 000 yrbp. The Late Holocene transgression has caused progressive reflooding of the continental margin, backstepping of the MesoAmerican Reef and encroachment of coastal environments into the platform interior as rising groundwaters flood an interconnected cave and sinkhole system and feed seasonal marshes above. The Sian Ka'an Wetlands form a vast palustrine carbonate factory which is directly juxtaposed and dynamically linked with the marine carbonate factory to seaward. Continuing sea‐level rise has caused synchronous landward migration of marginal marine and freshwater environments as beach barriers were breached and palustrine sloughs flooded to form marginal marine seagrass lagoons. The Rio Hondo Fault conditions fluid inflow while the sub‐environments of the Sian Ka'an Wetlands reflect tectonic controls on microtopography and hydroperiod. Modern analogues for the Sian Ka'an Wetlands include the Florida Everglades, formed during transgression of the Florida Platform, and relict marsh environments preserved on leeward shores of Andros, Abaco and other Bahama islands. A wide range of ancient examples deposited in coastal and continental interior settings similarly reflect seasonal aquifer rise in response to marine transgression and/or onlap of late‐stage basin fill onto a karstified pediment. Freshwater palustrine carbonate factories on carbonate platforms are transient deposystems, controlled by subtle water depth, climate, vegetation and hydrological factors while being critically sensitive to sea‐level changes and tectonics. The preservation potential of palustrine carbonates may be relatively low in coastal settings due to erosion or shallow marine overprinting, while greater further inland where marine flooding is rarer and in tectonically subsident continental interior basins where accommodation space is continuously created.
Development of a detector tube for screening tadalafil and its analogues in adulterated sexual enhancement products
Authors: Ichikawa‐Kaji Yoko , Ishizawa Fujio , Nishiyama Rei , Tachikawa Hajime , Uemura Nozomi , Moriuchi Yuka , Hsiao Yi‐Yang , Moriyasu Takako , Suzuki Toshinari , Takahashi Yoichiro , Inomata Akiko 
Published: December 2022

AbstractSexual enhancement products adulterated with phosphodiesterase 5 inhibitors (PDE‐5i) pose a serious public health concern. Tadalafil and its analogues (Tds) are PDE‐5i frequently detected as adulterants. In this study, a Td detector tube for the rapid detection of Tds was developed based on the color change reaction between sulfuric acid and Tds. The specificity of this test method was evaluated using 13 Tds, all of which elicited positive results. Additionally, 30 commonly found adulterants in dietary supplements, 11 active pharmaceutical ingredients of psychotropic drugs and 18 food ingredients were tested and obtained no false‐positive results, except levomepromazine. The test tube accurately detected the presence or absence of Tds in 54 commercially available products. The visual detection limit was 2–50 and 5–20 μg/ml for Tds and tadalafil‐spiked samples with matrix, respectively. The applicability of the developed detector tube to a semiquantitative test using digital image analyses were investigated using red, green, and blue color values. The results of the recovery test suggested that the tube test was affected by the dark‐colored matrix. The results of semiquantitative analyses of tadalafil for five marketed products were consistent with the liquid chromatographic quantification results, except for the blue value. The detector tube developed in this study can facilitate with the rapid screening of Tds in adulterated sexual enhancement products.
The impact of climate change on eating disorders: An urgent call for research
Authors: Rodgers Rachel F. , Paxton Susan J. , Nagata Jason M. , Becker Anne E. 
Published: December 2022

AbstractClimate change affects many of the documented risk factors for eating disorders (EDs) through direct and indirect pathways, yet to date the research in this area is nonexistent. Our aim is to identify the specific mechanisms through which climate change might be associated with increased risk for EDs, an exacerbation in symptoms, or poor clinical outcomes; highlight limited empirical data addressing these issues; and propose directions for a research program in this important area. Pathways for the impact of climate change on eating disorders and related data were reviewed. Four main pathways for the effects of climate change on EDs were identified including (1) decreased food access and security; (2) changes in mean temperature; (3) concerns related to food safety and eco‐anxiety; and (4) indirect pathways through trauma, adversity, and increased mental health concerns. Except for the relationship between increased food insecurity and EDs, these pathways remain largely uninvestigated. Numerous factors may be implicated in the relationship between climate change and EDs. Future work in this area is imperative and should be conducted through a social justice lens with particular attention paid to the global areas most impacted by climate change and related vulnerabilities. Climate change will likely have adverse impacts on individuals with eating disorders and increase the risk for eating disorders. This paper reviews the different ways in which climate change may have these effects and calls for researchers to pay attention to this important area.
Evidence of hatch‐time based growth compensation in the early life history of two salmonid fishes
Authors: Penney Heather D. , Keefe Donald G. , Perry Robert C. , Purchase Craig F. 
Published: December 2022

AbstractInitial body size can indicate quality within‐species, with large size increasing the likelihood of survival. However, some populations or individuals may have body size disadvantages due to spatial/temporal differences in temperature, photoperiod, or food. Across‐populations, animals often have locally adapted physiology to compensate for relatively poor environmental influences on development and growth, while within‐population individual behavioral adjustments can increase food intake after periods of deprivation and provide opportunities to catch up (growth compensation). Previous work has shown that growth compensation should include within‐population differences related to short growing seasons due to delayed hatch time. We tested the hypothesis that individual fish that hatch later grow faster than those that hatch earlier. The relative magnitude of such a response was compared with growth variation among populations. We sampled young of the year Arctic charr and brook trout from five rivers in northern Labrador. Daily increments from otoliths were used to back‐calculate size to a common age and calculate growth rates. Supporting the hypothesis, older fish were not larger at capture than younger fish because animals that hatched later grew faster, which may indicate age‐based growth compensation.
A novel combo‐transmission system of cold energy and electricity for aluminium profile production: Using liquid nitrogen and superconductor technologies
Authors: Chen Xiaoyuan , Li Qiang , Jiang Shan , Zhang Mingshun , Fu Lin , Shen Boyang 
Published: December 2022

AbstractAluminium production needs the most energy‐intensive technologies among all the metal processing sectors. During the process of aluminium profile extrusion, the whole production line needs bulk electricity, and the mold inside the extrusion equipment needs robust cold energy for rapid cooling of the metal surface. This paper presents a new combo‐transmission that can simultaneously deliver cold energy together with electricity to the aluminium profile extrusion line. Thanks to the superiority of virtually zero loss and compact size, the powerful superconducting cable is used to replace the conventional copper cable. The entire superconducting cable assembly is fully installed into a cryogenic pipeline and cooled by liquid nitrogen at 77 K. In addition to keeping a favourable cryogenic environment for the superconducting cable, liquid nitrogen can also provide a large amount of cold energy for cooling the metal surface. For a typical 100 MN aluminium extrusion production line, the design and optimization of 10 kA class superconducting cable with the pipeline cooling system for aluminium production are presented in detail. The simulation results and comparisons show that the total energy loss of superconducting transmission is about 46% of conventional copper cable, and the energy saved in a year can be up to about 240.6 MWh. Moreover, the net profit increases almost linearly along with the increases of the extrusion speed when the liquid nitrogen cooling is applied to the 100 MN production line. For the case of 23% increase in extrusion speed, the net profit can be up to 1.48 M$ in a year. Overall, the novel design, technical evaluation, and economic analysis of the combo‐transmission system (cold energy + electricity) can provide a promising solution for future high‐dense aluminium production sectors.
A novel interpretable model ensemble multivariate fast iterative filtering and temporal fusion transform for carbon price forecasting
Authors: Wang Yue , Wang Zhong , Kang Xinyu , Luo Yuyan 
Published: December 2022

AbstractThe accurate forecasts of carbon prices can help policymakers and enterprises further understand the laws of carbon price fluctuations and formulate related policies and investment strategies. Nowadays, many carbon price prediction models have been proposed. However, some models ignore the time–frequency relationship when considering exogenous variables and fail to measure their importance to the forecasting results, leading to unsatisfactory results. Therefore, this study proposes a novel hybrid model for carbon price forecasting on the basis of advanced multidimensional time series decomposition techniques and interpretable multifactor models. In the proposed model, multivariate fast iterative filtering is used to decompose carbon price and its exogenous variable sequence into several intrinsic mode functions, which can overcome the nonlinearity and nonstationarity of carbon prices and obtain their intrinsic characteristics. Meanwhile, temporal fusion transform (TFT) is used to interpret predictions for multivariate time series. TFT is a new attention‐based deep learning model combining high‐performance multihorizon prediction and interpretability and can adaptively select the optimal features for carbon price prediction. Five carbon markets in Guangdong, Beijing, Shanghai, Hubei, and Shenzhen are selected for experimental studies. Empirical results indicate that the proposed model outperforms the compared benchmark models in all performance metrics. In the interpretable output of TFT, the prediction of the high‐frequency part requires the participation of exogenous variables and has a long time dependence; for the middle and low‐frequency part, only using the carbon price itself and a short time step can lead to good results. This finding can inform future research on carbon price forecasting and help policymakers.
Mercury Exposure and Habitat Fragmentation Affect the Movement, Foraging Behavior, and Search Efficiency of the Marsh Periwinkle (Littorina irrorata)
Authors: Krull Marcos 
Published: December 2022

Abstract
The interactions between habitat fragmentation and other stressors are considered a key knowledge gap. The present study tested the hypotheses that mercury enhances the effects of fragmentation by (1) reducing the cumulative daily movement of organisms, (2) shifting their foraging behavior, and (3) altering the vertical movement of the marsh periwinkle (Littoraria irrorata) in a field experiment. Random walk simulations were used to access how changes in movement affect the search efficiency of organisms in the long term. Eighteen 1.5 m2 plots were constructed in a salt marsh where landscapes characteristics were manipulated to reach three different levels of habitat cover. Daily movement of 12 marked control and mercury-exposed snails were measured in each plot. Bayesian models were used to analyze the data and evidence ratios were used to test the hypotheses. The results showed that the effects of fragmentation were consistent in both control and exposed treatments, with an increase in the cumulative displacement of organisms. However, mercury significantly reduced the movement of organisms in all levels of fragmentation, shifting their foraging behavior (evidence ratio &gt; 1000). Exposed snails were more likely to be found inactive in comparison with the control treatment (evidence ratio &gt; 1000). Fragmentation also reduced the vertical movement of organisms in both treatments. In contrast, mercury increased the vertical movement of organisms (evidence ratio &gt; 1000). The search efficiency of organisms also increased in a highly fragmentated landscape, suggesting that changes in foraging behavior are likely due to reduced resources and consequently increase in foraging effort. The present study shows that mercury exposure can enhance the effects of habitat fragmentation by changing organisms’ movement, foraging behavior, and search efficiency. Environ Toxicol Chem 2023;42:1971–1981. © 2022 SETAC
Using symmetric illumination and color camera to achieve high throughput Fourier ptychographic microscopy
Authors: Zhang Ke , Gilley Patrik , Abdoli Neman , Chen Xuxin , Fung Kar‐Ming , Qiu Yuchen 
Published: December 2022

AbstractThis study aims to develop a high throughput Fourier ptychographic microscopy (FPM) technique based on symmetric illumination and a color detector, which is able to accelerate image acquisition by up to 12 times. As an emerging technology, the efficiency of FPM is limited by its data acquisition process, especially for color microscope image reconstruction. To overcome this, we built an FPM prototype equipped with a color camera and a 4×/0.13 NA objective lens. During the image acquisition, two symmetric LEDs illuminate the sample simultaneously using white light, which doubles the light intensity and reduces the total captured raw patterns by half. A standard USAF 1951 resolution target was used to measure the system's modulation transfer function (MTF) curve, and the H&E‐stained ovarian cancer samples were then imaged to assess the feature qualities depicted on the reconstructed images. The results showed that the measured MTF curves of red, green, and blue channels are generally comparable to the corresponding curves generated by conventional FPM, while symmetric illumination FPM preserves more tissue details, which is superior to the results captured by conventional 20×/0.4 NA objective lens. This investigation initially verified the feasibility of symmetric illumination based color FPM.
Co3O4/carbon felt three‐dimensional electrode promoted electrocatalytic oxidation – peroxymonosulfate system for p‐nitrophenol degradation: effect of radical and non‐radical mechanisms
Authors: Zhao Kun , Zhang Yonggang 
Published: December 2022

AbstractBACKGROUNDConventional electrochemical oxidation (EO) processes do not easily activate peroxymonosulfate (PMS) and are susceptible to the effects of electrode size, material and large‐distance two‐dimensional (2D) electrode structures, resulting in low mass transfer efficiency and low electrolytic productivity, limiting their ability to degrade pollutants. It is still a challenge to design and prepare a system and materials to enhance the activation of PMS and the EO process.RESULTSCo3O4‐loaded carbon felt three‐dimensional (3D) electrode material (Co/CF) was prepared and used to construct a 3D electrocatalytic synergistic system (EO‐Co/CF‐PMS). The system combined the advantages of bipolar electrochemistry, three‐dimensional electrochemistry and advanced oxidation processes based on sulfate radical (SR‐AOPs) to facilitate the activation of PMS for degradation of p‐nitrophenol (PNP) in water. In addition, the synergistic system showed excellent pollutant degradation performance, achieving 89.51% PNP degradation in 10 min with an energy consumption of 0.4255 kWh m−3. After being used for four consecutive cycle experiments, the synergistic system still achieved 83% PNP removal. Besides, the EO process also facilitated the Co cycle, resulting in a continuous and efficient degradation of the pollutants. The effects of experimental parameters (initial pH, PMS dose, and applied voltage) on PNP elimination were determined. The results of a reactive oxygen species scavenging experiment and electron spin resonance analysis showed that ·OH, SO4·−, and 1O2 all played a major role in the PNP elimination process.CONCLUSIONSThe research demonstrated that the composite catalyst Co/CF improved the property of the EO process for catalyzing PMS and thus enlarged the practical application of AOPs in pollutant degradation in aqueous solution. © 2022 Society of Chemical Industry (SCI).
A novel numerical strategy for modeling the moving boundary value problem of electrochemical machining
Authors: van der Velden Tim , Ritzert Stephan , Reese Stefanie , Waimann Johanna 
Published: December 2022

AbstractThis work presents a new numerical approach to efficiently model the cathode's moving surface in the moving boundary value problem of electrochemical machining. Until recently, the process simulation with finite elements had the drawback of remeshing required by the changing surface geometries. This disadvantage was overcome by an innovative model formulation for the anodic dissolution that utilizes effective material parameters as well as the dissolution level as an internal variable and, thereby, does not require remeshing. Now, we suggest a new numerical method to model arbitrarily shaped and moving cathodes. Two methodologies are investigated to describe the time varying position of the cathode and compared in terms of implementational effort and numerical efficiency. In the first approach, we change the electric conductivity of elements within the cathode and, in a second approach, we apply Dirichlet boundary conditions on the nodes of corresponding elements. For both methods, elements on the cathode's surface are treated with effective material parameters. This procedure allows for the efficient simulation of industrially relevant, complex geometries without mesh adaptation. The model's performance is validated by means of analytical, numerical and experimental results from the literature. The short computation times make the approach interesting for industrial applications.
Psychological impact of COVID‐19 on nurses caring for patients during COVID‐19 pandemic in Gaborone
Authors: Kealeboga Kebope Mongie , Ntsayagae Esther Ikaege , Tsima Onalenna 
Published: December 2022

AbstractAimNurses as front liners have direct contact with COVID‐19 patients during the pandemic. Carrying the heavy burden during the pandemic has a mental health toll on healthcare professionals. The study explored nurses' experiences of psychological distress during the COVID‐19 pandemic in Botswana's two COVID‐19 special care centres.DesignThe study used qualitative case study research to solicit nurses' experiences caring for patients with COVID‐19 in selected COVID‐19 centres in Gaborone.MethodResearchers purposively recruited nurses from two COVID‐19 centres in Botswana. Data were collected using semi‐structured telephone interviews and analysed through inductive thematic analysis. Various institutional review boards ethically cleared the study.ResultsSix themes emerged from the thematic analysis: feelings of fear and anxiety, hopelessness and helplessness, loneliness, physical distress, support mechanism and commitment to care.Public ContributionThe results offer important insights into the nurses' experiences during the COVI‐19 pandemic.
The positive allosteric modulator of NMDA receptors, GNE‐9278, blocks the ethanol‐induced decrease of excitability in developing retrosplenial cortex neurons from mice
Authors: Bird Clark W. , Valenzuela Carlos F. 
Published: December 2022

AbstractBinge‐like exposure to ethanol during the brain growth spurt triggers apoptotic neurodegeneration in multiple brain regions, including the retrosplenial cortex, a brain region that is part of the hippocampal‐diencephalic‐cingulate memory network. This is mediated, in part, by reduced Ca2+ influx through N‐methyl‐d‐aspartate (NMDA) receptors followed by a decrease in the activation of pro‐survival genes. Here, we tested whether a positive allosteric modulator of NMDA receptors could counteract the inhibitory effect of ethanol on developing retrosplenial cortex pyramidal neurons. We used patch‐clamp electrophysiological techniques in acute slices from postnatal day 6–8 mice to test the effect of the positive allosteric modulator GNE‐9278 on ethanol‐induced inhibition of NMDA receptor function. GNE‐9278 dose‐dependently increased the amplitude, decay time, and total charge of NMDA excitatory postsynaptic currents. At a concentration of 5 μmol L−1, GNE‐9278 significantly reduced the 90 mmol L−1 ethanol‐induced inhibition of NMDA excitatory postsynaptic current amplitude, decay time, and total charge. Current‐clamp experiments showed that 5 μmol L−1 GNE‐9278 ameliorated the 90 mmol L−1 ethanol‐induced inhibition of synaptically‐evoked action potential firing and compound excitatory postsynaptic potential amplitude. These findings indicate that positive allosteric modulators mitigate ethanol‐induced hypofunction of NMDA receptors in developing cerebral cortex neurons, an effect that could ameliorate its pro‐apoptotic effects during the late stages of fetal development.
Health state utilities associated with hyperphagia: Data for use in cost‐utility models
Authors: Howell Timothy A. , Matza Louis S. , Mallya Usha G. , Goldstone Anthony P. , Butsch W. Scott , Lazarus Ethan 
Published: December 2022

AbstractObjectiveRare genetic diseases of obesity typically present with hyperphagia, a pathologic desire to consume food. Cost‐utility models assessing the value of treatments for these rare diseases will require health state utilities representing hyperphagia. This study estimated utilities associated with various hyperphagia severity levels.MethodsFour health state vignettes were developed using published literature and clinician input to represent various severity levels of hyperphagia. Utilities were estimated for these health states in a time trade‐off elicitation study in a UK general population sample.ResultsIn total, 215 participants completed interviews (39.5% male; mean age 39.1 years). Mean (SD) utilities were 0.98 (0.02) for no hyperphagia, 0.91 (0.10) for mild hyperphagia, 0.70 (0.30) for moderate hyperphagia, and 0.22 (0.59) for severe hyperphagia. Mean (SD) disutilities were −0.08 (0.10) for mild, −0.28 (0.30) for moderate, and −0.77 (0.58) for severe hyperphagia.ConclusionsThese data show increasing severity of hyperphagia is associated with decreased utility. Utilities associated with severe hyperphagia are similar to those of other health conditions severely impacting quality of life (QoL). These findings highlight that treatments addressing substantial QoL impacts of severe hyperphagia are needed. Utilities estimated here may be useful in cost‐utility models of treatments for rare genetic diseases of obesity.