bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chronological Harris hawks‐based deep LSTM classifier in wireless sensor network for aqua status prediction
Authors: Babu Chandanapalli Suresh , Rao Annam Jagadeeswara , Srinivas Kalyanapu , Narayana Satyala 
Published: April 2021

AbstractAquaculture becomes very popular in economic where aquatic organisms, like fishes and prawns, are mainly dependent on the quality of water in aquaculture pond. Also, the water quality constraints, which include turbidity, carbon dioxide, temperature, pH level, dissolved oxygen and phosphorus, are considered for achieving better performance. Hence, this paper presents an approach for aqua status prediction based on Deep Long Short‐Term Memory (Deep LSTM) classifier. The sensor nodes are placed in the aqua pond for measuring the parameters of water quality, and then the cell network transformation is done using the Voronoi partition. After that, the Cluster Head (CH) selection is carried out using Piecewise Fuzzy C‐means clustering (piFCM). Once the clusters are selected, the Chronological Harris Hawks (Chronological HH) optimization algorithm is introduced for optimal sink placement where the constraints for enabling the optimal sink placement are the distance and energy of the nodes. Finally, the aqua status is predicted using Deep LSTM. The performance of the Chronological HH‐based Deep LSTM is computed in terms of accuracy, energy and the number of dead nodes. The proposed Chronological HH‐based Deep LSTM outperformed other methods with maximal accuracy of 92.65%, maximal energy of 0.976 and the minimal dead nodes of 32.
Time series forecasting methods for the Baltic dry index
Authors: Katris Christos , Kavussanos Manolis G. 
Published: April 2021

AbstractThis paper forecasts the daily Baltic Dry Index (BDI) using time series and machine learning methods. Significant business cycles and freight rate volatility present in the ocean‐going shipping industry make the ability to forecast freight rates and cycles extremely important for business decisions. Data‐driven model selection based on data characteristics is performed through ARIMA, fractional ARIMA (FARIMA), and ARIMA and FARIMA models with GARCH and EGARCH errors. The corresponding machine learning techniques utilized are feed‐forward fully connected artificial neural networks (ANNs), support vector regression (SVR), and multivariate adaptive regression splines (MARS). Among others, FARIMA and MARS models are used for the first time in forecasting the BDI. Diebold–Mariano tests reveal that time series and machine learning approaches have comparable performance. However, combinations of forecasts of the selected models lead to better forecasting accuracy overall. Bai and Perron tests are utilized to check the robustness of the results over different cycles through the detection of breakpoints in the series.
Open Science in regulatory environmental risk assessment
Authors: Brock Theo C. M. , Elliott Kevin C. , Gladbach Anja , Moermond Caroline , Romeis Jörg , Seiler Thomas-Benjamin , Solomon Keith , Peter Dohmen G. 
Published: April 2021

Abstract
A possible way to alleviate the public skepticism toward regulatory science is to increase transparency by making all data and value judgments used in regulatory decision making accessible for public interpretation, ideally early on in the process, and following the concepts of Open Science. This paper discusses the opportunities and challenges in strengthening Open Science initiatives in regulatory environmental risk assessment (ERA). In this discussion paper, we argue that the benefits associated with Open Science in regulatory ERA far outweigh its perceived risks. All stakeholders involved in regulatory ERA (e.g., governmental regulatory authorities, private sector, academia, and nongovernmental organizations), as well as professional organizations like the Society of Environmental Toxicology and Chemistry, can play a key role in supporting the Open Science initiative, by promoting the use of recommended reporting criteria for reliability and relevance of data and tools used in ERA, and by developing a communication strategy for both professionals and nonprofessionals to transparently explain the socioeconomic value judgments and scientific principles underlying regulatory ERA. Integr Environ Assess Manag 2021;17:1229–1242. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC)
KEY POINTS
Open Science is important to increase transparency and trust in regulatory Environmental Risk Assessment (ERA). Open Science requires that data, tools, and value judgments used in decision making are made accessible for public interpretation. Benefits associated with Open Science outweigh its perceived risks. Open Science in regulatory ERA is supported by promoting the use of reporting criteria for reliability and relevance of data and tools.
Agrochemical occurrence on colocated wildflowers and wild bees collected near beef cattle feed yards and row crops
Authors: Peterson Eric M. , Green Frank B. , Subbiah Seenivasan , Emert Amanda , Smith Philip N. 
Published: April 2021

Abstract
It is well established that agrochemicals can pose significant threats to native pollinators; however, relatively little is known about pollinator risks associated with agrochemicals that are used on beef cattle feed yards. Recently, feed yard-derived agrochemicals and those from row crop agriculture were quantified on wildflowers growing on the High Plains, USA. To better characterize pollinator risks on the High Plains, we collected colocated wildflowers and foraging bees across three field seasons for analytical determination of residual agrochemicals. Agrochemicals were detected and quantified on the majority of wildflowers (85%) and nearly half of bees (49%). Permethrin was the most frequently detected analyte on wildflowers (32%) and bees (17%). Flower hazard quotients and flower hazard indices were calculated to deterministically evaluate risk to foraging pollinators. Mean flower hazard quotients exceeded one for 5/16 analytes (31%), and flower hazard quotients calculated for 30% of wildflowers were greater than 50. Flower hazard quotients for clothianidin exceeded 400 for 14% of wildflowers, which portends conditions conducive to frequent bee mortalities. Flower hazard indices were greater on wildflowers from mid-July to mid-September as compared with wildflowers collected earlier in the summer, which coincides with row crop planting and increased prevalence of feed yard flies. Hazard quotients and hazard index values calculated from agrochemical residue data suggest that pollinators frequenting wildflowers near beef cattle feed yards and row crops on the High Plains are at risk from both individual sources, and more so when considered in combination. Integr Environ Assess Manag 2022;18:163–173. © 2021 SETAC
KEY POINTS
Beef cattle feed yard and row crop agrochemicals were detected and quantified on the majority of wildflowers (85%) and nearly half of bees (49%) collected on the High Plains of the United States. Flower hazard quotients and flower hazard indices were calculated to deterministically evaluate risk to foraging pollinators. Over 30% of wildflowers sampled contained agrochemicals at concentrations that pose elevated risk to pollinators and 14% of wildflower samples contained agrochemicals that could result in extensive bee mortalities.
Lessons learned from a corporate manufacturer on driving the adoption of nature-based solutions
Authors: Davis Jarod , Guertin France , Guidry Todd , Rogers Martha , Saunders Zen , Uhl Michael 
Published: April 2021

Abstract
Companies are increasingly focused on driving the adoption of nature-based solutions across their organizations. Yet, implementing nature-based solutions within existing regulatory frameworks poses a unique set of challenges. In this paper, we present three nature-based solution case studies from The Dow Chemical Company and The Nature Conservancy's nearly 10-year collaboration. In the first case study, we focus on the potential benefits of reforestation to support the state's air quality improvement efforts. Ultimately, federal and state authorities did not approve of the reforestation project. Following this early setback, the collaboration team developed a suite of science-based tools that could be used to better advocate for government approval for the implementation of nature-based solutions. In the second case study, we highlight how one of these tools, the Ecosystem Services Identification & Inventory Tool, was used to improve communications about the benefits of nature-based solutions with regulatory agencies. In this case, Dow ultimately received approval for the restoration of a wetland to remediate an existing ash pond. Finally, the third case study highlights how engaging the right expertise through collaboration between the private sector and conservationists can improve land management strategies. Overall, this paper emphasizes the importance of robust conservation science, tools and expertise, and thoughtful collaboration as necessary means of driving the adoption of nature-based solutions both within a company and by its regulating entities. Integr Environ Assess Manag 2022;18:74–81. © 2021 SETAC
KEY POINTS
This paper emphasizes the importance of robust conservation science, tools and expertise, and thoughtful collaboration as necessary means of driving the adoption of nature-based solutions both within a company and by their regulating entities.
Dietary intake and plasma phospholipid concentrations of saturated, monounsaturated and trans fatty acids and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort
Authors: Aglago Elom K. , Murphy Neil , Huybrechts Inge , Nicolas Geneviève , Casagrande Corinne , Fedirko Veronika , Weiderpass Elisabete , Rothwell Joseph A. , Dahm Christina C. , Olsen Anja , Tjønneland Anne , Kaaks Rudolf , Katzke Verena , Schulze Matthias B. , Masala Giovanna , Agnoli Claudia , Panico Salvatore , Tumino Rosario , Sacerdote Carlotta , Bueno‐de‐Mesquita Bas H. , Derksen Jeroen W. G. , Skeie Guri , Gram Inger Torhild , Brustad Magritt , Jakszyn Paula , Sánchez Maria‐Jose , Amiano Pilar , Huerta José María , Ericson Ulrika , Wennberg Maria , Perez‐Cornago Aurora , Heath Alicia K. , Jenab Mazda , Chajes Veronique , Gunter Marc J. 
Published: April 2021

AbstractEpidemiologic studies examining the association between specific fatty acids and colorectal cancer (CRC) risk are inconclusive. We investigated the association between dietary estimates and plasma levels of individual and total saturated (SFA), monounsaturated (MUFA), industrial‐processed trans (iTFA), and ruminant‐sourced trans (rTFA) fatty acids, and CRC risk in the European Prospective Investigation into Cancer and Nutrition (EPIC). Baseline fatty acid intakes were estimated in 450 112 participants (6162 developed CRC, median follow‐up = 15 years). In a nested case‐control study, plasma phospholipid fatty acids were determined by gas chromatography in 433 colon cancer cases and 433 matched controls. Multivariable‐adjusted hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were computed using Cox and conditional logistic regression, respectively. Dietary total SFA (highest vs lowest quintile, HRQ5vsQ1 = 0.80; 95%CI:0.69‐0.92), myristic acid (HRQ5vsQ1 = 0.83, 95%CI:0.74‐0.93) and palmitic acid (HRQ5vsQ1 = 0.81, 95%CI:0.70‐0.93) were inversely associated with CRC risk. Plasma myristic acid was also inversely associated with colon cancer risk (highest vs lowest quartile, ORQ4vsQ1 = 0.51; 95%CI:0.32‐0.83), whereas a borderline positive association was found for plasma stearic acid (ORQ4vsQ1 = 1.63; 95%CI:1.00‐2.64). Dietary total MUFA was inversely associated with colon cancer (per 1‐SD increment, HR1‐SD = 0.92, 95%CI: 0.85‐0.98), but not rectal cancer (HR1‐SD = 1.04, 95%CI:0.95‐1.15, Pheterogeneity = 0.027). Dietary iTFA, and particularly elaidic acid, was positively associated with rectal cancer (HR1‐SD = 1.07, 95%CI:1.02‐1.13). Our results suggest that total and individual saturated fatty acids and fatty acids of industrial origin may be relevant to the aetiology of CRC. Both dietary and plasma myristic acid levels were inversely associated with colon cancer risk, which warrants further investigation.
Longitudinal evaluation for COVID‐19 chest CT disease progression based on Tchebichef moments
Authors: Tang Lu , Tian Chuangeng , Meng Yankai , Xu Kai 
Published: April 2021

AbstractBlur is a key property in the perception of COVID‐19 computed tomography (CT) image manifestations. Typically, blur causes edge extension, which brings shape changes in infection regions. Tchebichef moments (TM) have been verified efficiently in shape representation. Intuitively, disease progression of same patient over time during the treatment is represented as different blur degrees of infection regions, since different blur degrees cause the magnitudes change of TM on infection regions image, blur of infection regions can be captured by TM. With the above observation, a longitudinal objective quantitative evaluation method for COVID‐19 disease progression based on TM is proposed. COVID‐19 disease progression CT image database (COVID‐19 DPID) is built to employ radiologist subjective ratings and manual contouring, which can test and compare disease progression on the CT images acquired from the same patient over time. Then the images are preprocessed, including lung automatic segmentation, longitudinal registration, slice fusion, and a fused slice image with region of interest (ROI) is obtained. Next, the gradient of a fused ROI image is calculated to represent the shape. The gradient image of fused ROI is separated into same size blocks, a block energy is calculated as quadratic sum of non‐direct current moment values. Finally, the objective assessment score is obtained by TM energy‐normalized applying block variances. We have conducted experiment on COVID‐19 DPID and the experiment results indicate that our proposed metric supplies a satisfactory correlation with subjective evaluation scores, demonstrating effectiveness in the quantitative evaluation for COVID‐19 disease progression.
Effects of plant species identity override diversity effects in explaining sedimentation within vegetation in a flume experiment
Authors: Kretz Lena , Koll Katinka , Seele‐Dilbat Carolin , van der Plas Fons , Weigelt Alexandra , Wirth Christian 
Published: April 2021

AbstractDuring floods, sediments suspended in river water deposit on floodplains. Thus, floodplains are a key to improving river water quality. Yet, the factors that determine the amount of fine sediment that deposits on floodplains are largely unknown. Plant diversity typically increases structural diversity, whereas the vegetation structure and the structural characteristics of individual species are known to influence sedimentation. We hypothesised that species diversity, in addition to species identity, may promote sediment retention. Our study aimed to disentangle the effects of species richness and species identity, via differences in vegetation structure, on sediment retention within herbaceous vegetation patches. In a flume experiment, we investigated sedimentation on 30 vegetation patches (40 × 60 cm2). We created patches with five different species‐richness levels (3, 4, 6, 8, and 11 species), each replicated six times. Species were randomly selected from 14 common floodplain species. We inundated the patches with silt‐ and clay‐rich water and measured the amount of accumulated sediment on the vegetation and on the ground underneath it. Species richness significantly increased sedimentation underneath the vegetation (R2 = 0.17). However, including species identity effects in a structural equation model, we showed that individual species' presence largely drove these effects. Alopecurus pratensis had a direct negative effect on sedimentation on the vegetation, whereas Bromus inermis and Elymus repens had indirect positive effects through an increase in total biomass (R2 = 0.42). Elymus repens had a direct negative, and Urtica dioica a direct positive effect on sedimentation underneath the vegetation (R2 = 0.38). Our results indicate that selecting the most effective species, rather than as many species as possible, may have the greatest benefits for promoting sedimentation. Overall, we conclude that floodplain management that aims to increase sediment retention should alter the vegetation structure of meadows by increasing vegetation biomass.
Ultraviolet B irradiation decreases CXCL10 expression in keratinocytes through endoplasmic reticulum stress
Authors: Ohnishi Tomokazu , Hisadome Mitsuhiro , Joji Kusuyama , Chiba Norika , Amir Muhammad Subhan , Kanekura Takuro , Matsuguchi Tetsuya 
Published: April 2021

AbstractUltraviolet radiation is one of the standard treatment selections for psoriasis. interferon (IFN)‐γ and IFN‐γ‐induced CXCL10, which are highly expressed by keratinocytes in psoriasis lesion, are therapeutic targets for psoriasis. In this study, we found that ultraviolet B (UVB) irradiation inhibited IFN‐γ signaling events, including STAT1 phosphorylation and induction of CXCL10 messenger RNA (mRNA) expression in keratinocytes. IFN‐γ‐induced expression of CXCL10 mRNA in HaCaT cells, a human keratinocyte cell line, and human epithelial keratinocytes were also inhibited by H2O2 or endoplasmic reticulum (ER) stress inducers. Conversely, a mixture of antioxidants, Trolox and ascorbic acid, and the ER stress inhibitor salubrinal partially counteracted the inhibitory effect of UVB on IFN‐γ‐induced CXCL10 mRNA expression in HaCaT cells. We also found that UVB and ER stress reduced IFN‐γ receptor 1 protein levels in the plasma membrane fraction of keratinocytes. These observations suggested that ER stress and the generation of reactive oxygen species are essential for the inhibitory effect of UVB on IFN‐γ‐induced CXCL10 mRNA in keratinocytes.
Using Instagram as a tool to enhance anatomy learning at two US dental schools
Authors: Nguyen Vuvi H. , Lyden Elizabeth R. , Yoachim Shayla D. 
Published: April 2021

AbstractAlthough growing evidence supports the inclusion of social media in education, no studies to date have investigated the potential role of Instagram in anatomy education for dental students. Anatomists at University of Texas School of Dentistry (UTSD) and University of Nebraska Medical Center (UNMC) College of Dentistry created unique Instagram pages supplemental to traditional pedagogy, aiming to provide easily‐accessible, interactive content for our tech‐savvy students. The aim of this study was to evaluate students’ perspectives of the use of social media in education and their respective professor's Instagram page. In the fall of 2020, 170 students (86 from UTSD and 84 from UNMC) voluntarily participated in a survey via Qualtrics. The majority of respondents (85.1%) had seven or more years of experience with social media, and 96.9% of students reported using social media as a source of information with 92.5% using for educational purposes. All students agreed that their respective professor's page has been helpful for anatomy study and review, added to their understanding of anatomy, is convenient, engaging, and professional. While consistent themes emerged between cohorts, UNMC students had a higher level of agreement regarding their page's added relevance to learning in the class/clinic (p = 0.0016), while UTSD students reported feeling more comfortable asking their professor questions through Instagram (p = 0.015). Among all variables, female students and Generation Z students responded more favorably than male or Generation Y counterparts. Here, the authors describe benefits and considerations for others interested in using Instagram as an educational tool.
De novo frameshift variants of HNRNPU in patients with early infantile epileptic encephalopathy: Two case reports and literature review
Authors: Song Zhenfeng , Zhang Ying , Yang Chengqing , Yi Zhi , Li Fei , Xue Jiao , Yang Xiaofan , Li Baomin 
Published: April 2021

AbstractVariants in HNRNPU have been reported in patients with epileptic encephalopathy, early infantile 54 (OMIM 602,869). We hereby describe two children from different families with autosomal dominance early‐onset epileptic encephalopathy and summarize the genotype and phenotype of reported individuals.Whole‐exome sequencing analysis was applied to the patients. De novo frameshift variants in the HNRNPU, c.143_149del7 (p.G48Afs*11) and c.1282delC(p.G429Afs*53) were identified. This is the first time to report Chinese patients with early infantile epileptic encephalopathy caused by HNRNPU variants, and so far, these variants have not been reported in population gene database. This study expands our knowledge of HNRNPU variants and emphasizes the importance of early gene diagnosis.
Synergistic effect of graphene oxide/calcium phosphate nanofiller in a dentin adhesive on its dentin bond integrity and degree of conversion. A scanning electron microscopy, energy dispersive X‐ray spectroscopy, Fourier transform infrared, micro‐Raman, and bond strength study
Authors: Almutairi Basil , Kattan Hiba F. , BinMahfooz Abdulelah M. , Qutub Osama A. , Basunbul Ghadeer , ArRejaie Aws S. , Farooq Imran , Vohra Fahim , Abduljabbar Tariq 
Published: April 2021

AbstractThe objective was to formulate and analyze a dentin adhesive incorporated with graphene oxide (GO) nanoparticle and calcium phosphate (CaP) composite. Methods comprising of scanning electron microscopy (SEM)–energy dispersive X‐ray spectroscopy (EDX), micro‐Raman spectroscopy, shear bond strength (SBS), and Fourier transform infrared (FTIR) spectroscopy were used to characterize nanoparticle composite, dentin bond toughness, degree of conversion (DC), and adhesive‐dentin interaction. Postsynthesis of GO nanoparticles, they were functionalized with CaP using standard process. The GO‐CaP composite was not added to experimental adhesive (negative control group, GO‐CaP‐0%), and added at 2.5 and 5 wt% to yield GO‐CaP‐2.5% and GO‐CaP 5% groups, respectively. Teeth were set to form bonded samples utilizing adhesives in three groups for SBS testing, with and without thermocycling. The homogenous diffusion of GO‐CaP composite was verified in the adhesive. Resin tags having standard penetrations were observed on SEM micrographs. The EDX analysis confirmed the occurrence of calcium, phosphorus, and carbon ions in the composite containing adhesives. The SBS test revealed highest mean values for GO‐CaP‐5% followed by GO‐CaP‐2.5%. The FTIR spectra verified the presence of apatite peaks and the micro‐Raman spectra showed characteristic D and G bands for GO nanoparticles. GO‐CaP composite in dentin adhesive may improve its bond strength. The addition of 5 wt% resulted in a bond strength that was superior to all other groups. GO‐CaP‐5% group demonstrated lower DC (to control), uniform distribution of GO and CaP composite within adhesive, appropriate dentin interaction, and resin tag formation.