bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiation‐Induced Defects in Uranyl Trinitrate Solids
Authors: Kruse Samantha J. , Rajapaksha Harindu , LaVerne Jay A. , Mason Sara E. , Forbes Tori Z. 
Published: April 2024

AbstractActinides are inherently radioactive; thus, ionizing radiation is emitted by these elements can have profound effects on its surrounding chemical environment through the formation of free radical species. While previous work has noted that the presence of free radicals in the system impacts the redox state of the actinides, there is little atomistic understanding of how these metal cations interact with free radicals. Herein, we explore the effects of radiation (UV and γ) on three U(VI) trinitrate complexes, M[UO2(NO3)3] (where M=K+, Rb+, Cs+), and their respective nitrate salts in the solid state via electron paramagnetic resonance (EPR) and Raman spectroscopy paired with Density Functional Theory (DFT) methods. We find that the alkali salts form nitrate radicals under UV and γ irradiation, but also note the presence of additional degradation products. M[UO2(NO3)3] solids also form nitrate radicals and additional DFT calculations indicate the species corresponds to a change from the bidentate bound nitrate anion into a monodentate NO3• radical. Computational studies also highlight the need to include the second sphere coordination environment around the [UO2(NO3)3]0,1 species to gain agreement between the experimental and predicted EPR signatures.
Green synthesis of metal nanoparticles from Codium macroalgae for wastewater pollutants removal by adsorption
Authors: Şahin Muradiye , Arslan Yasin , Tomul Fatma , Akgül Füsun , Akgül Rıza 
Published: April 2024

AbstractAlgae have adsorption properties and reducing agents due to their rich content. In this study, palladium nanoparticles (Pd NP), platinum nanoparticles (Pt NP), and iron oxide nanoparticles (Fe3O4 NP) were prepared from Codium macroalgae using green synthesis. The structure of the synthesized nanoparticles was elucidated by X‐ray diffractometry, Fourier transforms infrared spectroscopy, Brunauer–Emmett–Teller analysis, transmission electron microscopy, ultraviolet‐visible spectroscopy and scanning electron microscopy‐energy dispersive X‐ray spectrometry and their use as nanoadsorbents for the removal of pollutants from aqueous media was investigated in detail. Naproxen (NPX), an anti‐inflammatory drug, and the dyes methylene blue (MB) and cresol red (CR) were selected as pollutants for this study. Batch adsorption experiments were conducted using both real wastewater obtained from the Organised Industrial Zone of Isparta Province and synthetic water samples prepared with tap water from Burdur Province and pure water. Under optimum adsorption conditions, Pd NP showed significant efficiency in the real wastewater sample, with an adsorption capacity of 37.19 and 50.03 mg g–1 for CR and NPX, respectively, within 150 min. In comparison, Pt NP showed an adsorption capacity of 40.01 mg g–1 for MB within the same timeframe. These findings indicate that while Pd NP showed the highest adsorption capacity for both CR and NPX, Pt NP showed the highest adsorption capacity for MB. The Langmuir model and the pseudo‐second‐order equation were more suitable to describe the adsorption behavior of CR, MB, and NPX. In addition, studies on the desorption and reusability of the nanoadsorbents were carried out under the same optimum experimental conditions.
Impact of virtual education based on health belief model on cervical cancer screening behavior in middle‐aged women: A quasi‐experimental study
Authors: Khoshnazar Mahdieh Sadat , Tarrahi Mohammad Javad , Shahnazi Hossein 
Published: April 2024

AbstractBackgroundCervical cancer is one of the most common cancers in women worldwide and a cause of high mortality among people. Pap smear screening is an appropriate method to prevent cervical cancer and reduce its mortality.AimThis study aimed to determine the effect of web‐based education based on the Health Belief Model (HBM) on cervical cancer screening behavior in middle‐aged women.Methods and ResultsThis study is a quasi‐experimental interventional research that was conducted on 240 middle‐aged women aged 40–59 years in Isfahan, Iran, in 2022. An online educational intervention based on the constructs of the Health Belief Model was conducted for the intervention group using the Triple‐B platform. The information on the intervention and control groups was collected before, immediately after the intervention, and 2 months later using a valid questionnaire. The gathered Data was analyzed using ANOVA and LSD post‐hoc, independent samples t test, chi‐square, and MANCOVA statistical tests in SPSS 26 software. After the intervention, the mean scores of knowledge, perceived susceptibility, perceived severity, perceived benefits, self‐efficacy, and internal cues to action in the intervention group increased and the mean score of perceived barriers decreased (p < .001). The mean score of the external cues to action did not show a significant difference between the intervention and control groups before, immediately, and 2 months after the intervention. Two months after the intervention, 32 women (26.2%) in the intervention group and two women (1.7%) in the control group performed the Pap smear test.ConclusionWeb‐based educational intervention based on HBM using different strategies such as question and answer, presentation of infographics, lectures, brainstorming, showing videos and numerous educational images can be an effective way for increasing knowledge and cognitive variables of women and doing Pap smear test.
Effect of 2‐methoxyestradiol on mammary tumor initiation and progression
Authors: Peta Kimberly T. , Durandt Chrisna , van Heerden Marlene B. , Joubert Anna M. , Pepper Michael S. , Ambele Melvin A. 
Published: April 2024

AbstractBackgroundThe anti‐cancer agent 2‐methoxyestradiol (2‐ME) has been shown to have anti‐proliferative and anti‐angiogenic properties. Previously, the effect of 2‐ME on early‐ and late‐stage breast cancer (BC) was investigated in vivo using a transgenic mouse model (FVB/N‐Tg(MMTV‐PyVT)) of spontaneous mammary carcinoma. Anti‐tumor effects were observed in late‐stage BC with no effect on early‐stage BC. Given the contrasting results obtained from the different BC stages, we have now investigated the effect of 2‐ME when administered before the appearance of palpable tumors.MethodsEach mouse received 100 mg/kg 2‐ME on day 30 after birth, twice per week for 28 days, while control mice received vehicle only. Animals were terminated on day 59. Lung and mammary tissue were obtained for immunohistochemical analysis of CD163 and CD3 expression, and histological examination was performed to analyze tumor necrosis. Additionally, blood samples were collected to measure plasma cytokine levels.Results2‐ME increased tumor mass when compared to the untreated animals (p = .0139). The pro‐tumorigenic activity of 2‐ME was accompanied by lower CD3+ T‐cell numbers in the tumor microenvironment (TME) and high levels of the pro‐inflammatory cytokine interleukin (IL)‐1β. Conversely, 2‐ME‐treatment resulted in fewer CD163+ cells detectable in the TME, increased levels of tumor necrosis, increased IL‐10 plasma levels, and low IL‐6 and IL‐27 plasma levels.ConclusionTaken together, these findings suggest that 2‐ME promotes early‐stage BC development.
Population Pharmacokinetics and Dosing Simulations for Aripiprazole 2‐Month Ready‐to‐Use Long‐Acting Injectable in Adult Patients With Schizophrenia or Bipolar I Disorder
Authors: Wang Yanlin , Harlin Matthew , Larsen Frank , Wang Xiaofeng , Park Wansu , Rich Benjamin , Gobburu Jogarao V. , Raoufinia Arash 
Published: April 2024

AbstractA ready‐to‐use (RTU) long‐acting injectable (LAI) formulation of aripiprazole monohydrate for administration once every 2 months, available in 960 mg (Ari 2MRTU 960) or 720 mg doses, has been developed for the treatment of schizophrenia or bipolar I disorder. A previously developed and validated population pharmacokinetic model for characterizing aripiprazole plasma concentrations following administration of oral aripiprazole or aripiprazole once‐monthly (AOM) intramuscular injection was expanded to include the RTU LAI formulation of aripiprazole (Ari RTU LAI). Overall, 8899 aripiprazole pharmacokinetic samples from 1191 adults from 10 clinical trials were included in the final combined analysis data set. Aripiprazole plasma concentration‐time profiles were simulated for various Ari RTU LAI initiation and maintenance scenarios in 1000 virtual patients. Diagnostic plots demonstrated that the final population pharmacokinetic model, which incorporated data for oral aripiprazole, AOM, and Ari RTU LAI, adequately described aripiprazole concentrations following Ari RTU LAI administration. Absorption of Ari RTU LAI was modeled by a parallel zero‐order and lagged first‐order process. Simulations across multiple scenarios were performed to inform dosing recommendations, including various treatment initiation regimens for a 2‐monthly formulation of Ari RTU LAI in patients with or without prior stabilization on oral aripiprazole, and for patients switching from AOM. Additional simulations accounted for missed/delayed doses, cytochrome (CYP) 2D6 metabolizer status, and concomitant use of CYP2D6 or CYP3A4 inhibitors. Overall, simulations across a variety of scenarios demonstrated an Ari RTU LAI pharmacokinetic exposure profile that was comparable to AOM, with a longer dosing interval.
Social network based link correlation using graph neural network with deep learning architectures for feature vectors prediction and classification
Authors: Sonti Nagaraju , Mulpuri Santhi Sri Rukmini , Pamulapati Venkatappa Reddy 
Published: April 2024

SummaryIn recent years, social network analysis has received a lot of interest. A critical area of research in this field is link prediction. Link prediction is researched for other forms of social networks. Still, because social link networks (SLNs) change over time and depend on the discussed topics, this network has unique difficulties. Recent studies have focused on three main issues: extending link prediction to a dynamic environment, forecasting formation, and destroying network linkages that change over time. Although it is a challenging issue, deep learning (DL) techniques have been demonstrated to increase prediction accuracy significantly. This research proposes a novel approach to link correlation for social networks based on DL architectures in feature vector prediction and classification. Here the input data has been processed for smoothening and normalization with noise removal. Then, the feature vector was predicted using a dynamically structured convolutional radial basis neural network for this data. The expected feature vector has been classified using a stochastic gradient‐based graph neural network. The experimental analysis is carried out for various social network data in terms of accuracy of 98%, precision of 85%, recall of 86%, F‐1 score of 75%, AUC of 72%, and RMSE of 76%.
Towards achieving geo‐indistinguishability for 3D GPS location: A 3D Laplace mechanism approach
Authors: Yan Yan , Yan Pengbin , Mahmood Adnan , Xu Fei , Sheng Quan Z. 
Published: April 2024

SummaryAs the scope of human exploration continues to expand from land to space and the oceans, location‐based data analysis and services are facing unprecedented opportunities and challenges. The wide application of various services based on spatial location in the fields of medical, transportation, financial, social and so forth not only provides great convenience but also exposes the disadvantages of location privacy leakage. Most present location privacy protection solutions are only relevant to 2D locations. However, with the widespread use of positioning‐enabled aircraft, sensing devices and acquisition equipment, there is an urgent need to achieve privacy protection for 3D spatial location data. Therefore, this article proposes a 3D geo‐indistinguishability perturbation method for 3D GPS Locations. The suggested approach calculates GPS coordinate perturbation accurately using the 3D Laplace mechanism, allowing for point‐to‐point perturbation while protecting the privacy of 3D spatial GPS coordinates. Experimental examination of real spatial location datasets demonstrates that the proposed 3D spatial location perturbation method outperforms other existing methods in terms of location service quality loss, data availability, and operational efficiency with the same privacy budget.
CHARMM‐GUI Membrane Builder for Lipid Droplet Modeling and Simulation
Authors: Gee Stephen , Glover Kerney Jebrell , Wittenberg Nathan J. , Im Wonpil 
Published: April 2024

AbstractLipid droplets (LDs) are organelles that are necessary for eukaryotic and prokaryotic metabolism and energy storage. They have a unique structure consisting of a spherical phospholipid monolayer encasing neutral lipids such as triacylglycerol (TAG). LDs have garnered increased interest for their implications in disease and for drug delivery applications. Consequently, there is an increased need for tools to study their structure, composition, and dynamics in biological contexts. In this work, we utilize CHARMM‐GUI Membrane Builder to simulate and analyze LDs with and without a plant LD protein, oleosin. The results show that Membrane Builder can generate biologically relevant all‐atom LD systems with relatively short equilibration times using a new TAG library having optimized headgroup parameters. TAG molecules originally inserted into a lipid bilayer aggregate in the membrane center, forming a TAG‐only core flanked by two monolayers. The TAG‐only core thickness stably grows with increasing TAG mole fraction. A 70 % TAG system has a core that is thick enough to house oleosin without its interactions with the distal leaflet or disruption of its secondary structure. We hope that Membrane Builder can aid in the future study of LD systems, including their structure and dynamics with and without proteins.
We know very little about pollination in the Platanthera Rich (Orchidaceae: Orchidoideae)
Authors: Janes Jasmine K. , van der Voort Genevieve E. , Huber Dezene P. W. 
Published: April 2024

AbstractThe Platanthera Rich. (Orchidoideae) comprise a speciose genus of orchids primarily in the northern hemisphere, with up to 200 known species worldwide. Individual species are known to self‐pollinate, but many rely on insect pollinators with characteristics such as floral color, timing of floral odor emissions, nectar rewards, and spur length associated with particular pollination syndromes. As with many orchids, some orchid–pollinator associations are likely highly co‐evolved, but we also know that some Platanthera spp. are the result of hybridization events, which implies a lack of pollinator fidelity in some cases. Some Platanthera spp. occur in large numbers which, coupled with the numerous Platanthera–pollinator systems, make them accessible as study species and useful for co‐evolutionary studies. Due to the likely effects of climate change and ongoing development on Platanthera spp. habitats, these orchids and their associated pollinators should be a focus of conservation attention and management. However, while there is a fairly substantial literature coverage of Platanthera–pollinator occurrence and interactions, there are still wide gaps in our understanding of the species involved in these systems. In this systematic review, we outline what is current knowledge and provide guidance on further research that will increase our understanding of orchid–insect co‐evolutionary relationships. Our review covers 157 orchid species and about 233 pollinator species interacting with 30 Platanthera spp. We provide analyses on aspects of these interactions such as flower morphology, known insect partners of Platanthera species, insect‐Platanthera specificity, pollination visitor timing (diurnal vs. nocturnal), floral rewards, and insect behavior affecting pollination outcomes (e.g., pollinia placement). A substantial number of Platanthera spp. and at least a few of their known pollinators are of official (IUCN) conservation concern – and many of their pollinators remain unassessed or even currently unknown – which adds to the urgency of further research on these co‐evolved relationships.
Genetic differentiation and phylogeography of Erythroneurini (Hemiptera, Cicadellidae, Typhlocybinae) in the southwestern karst area of China
Authors: Luo Guimei , Pu Tianyi , Wang Jinqiu , Ran Weiwei , Zhao Yuanqi , Dietrich Christopher H. , Li Can , Song Yuehua 
Published: April 2024

AbstractErythroneurini is the largest tribe of the microleafhopper subfamily Typhlocybinae. Most prior research on this tribe has focused on traditional classification, phylogeny, and control of agricultural pests, and the phylogeography of the group remains poorly understood. In this study, the mitochondrial genomes of 10 erythroneurine species were sequenced, and sequences of four genes were obtained for 12 geographical populations of Seriana bacilla. The new sequence data were combined with previously available mitochondrial DNA sequence data and analyzed using Bayesian and Maximum‐Likelihood‐based phylogenetic methods to elucidate relationships among genera and species and estimate divergence times. Seriana was shown to be derived from within Empoascanara. Phylogeographic and population genetic analysis of the endemic Chinese species Seriana bacilla suggest that the species diverged about 54.85 Mya (95% HPD: 20.76–66.23 million years) in the Paleogene period and that population divergence occurred within the last 14 million years. Ancestral area reconstruction indicates that Seriana bacilla may have originated in the central region of Guizhou, and geographical barriers are the main factors affecting gene flow among populations. Ecological niche modeling using the MaxEnt model suggests that the distribution of the species was more restricted in the past but is likely to expand in the future years 2050 and 2070.
Impact of abscisic acid treatment on postharvest storage quality and volatile flavor substances in blueberries
Authors: Qiao Huiru , Wu Weijie , Zhang Yiqin , Kong Qi , Chen Hangjun , Wang Lishu , Fang Xiangjun , Gao Haiyan 
Published: April 2024

AbstractTo investigate the impact of abscisic acid (ABA) on the postharvest flavor and quality of blueberries, this study employed different concentrations of ABA (400 μM ABA, 600 μM ABA, and 800 μM ABA) to treat the blueberries. The treated blueberries were then stored at 4°C (~80% relative humidity) for 35 day. Subsequently, genes associated with the metabolism of volatile aromatic substances and fatty acids in postharvest blueberries were assessed using real‐time PCR. Our results revealed that the treatment of ABA could maintain a high level of nutrient and aromatic substances in blueberries. Particularly, 600 μM ABA caused most significant changes in fatty acid metabolism‐related enzyme activities, such as lipoxygenase, hydroperoxide lyase, alcohol dehydrogenase, as well as related gene expressions, like VcLOX2S, VcHPL, VcADH1‐1, VcADH1‐2, VcADH1‐3, and VcADH1‐4. In addition, Furthermore, the blueberries treated with 600 μM ABA exhibited a superior quality when compared to the control group. This superior quality included higher levels of total acid, ascorbic acid, total phenol, anthocyanin, soluble sugar contents, and so forth. In conclusion, postharvest ABA treatment decelerated the decrease in volatile aroma substances and effectively maintained the flavor of blueberries.
Mouse models to explore the biological and organismic role of DNA polymerase beta
Authors: Sobol Robert W. 
Published: April 2024

AbstractGene knock‐out (KO) mouse models for DNA polymerase beta (Polβ) revealed that loss of Polβ leads to neonatal lethality, highlighting the critical organismic role for this DNA polymerase. While biochemical analysis and gene KO cell lines have confirmed its biochemical role in base excision repair and in TET‐mediated demethylation, more long‐lived mouse models continue to be developed to further define its organismic role. The Polb‐KO mouse was the first of the Cre‐mediated tissue‐specific KO mouse models. This technology was exploited to investigate roles for Polβ in V(D)J recombination (variable‐diversity‐joining rearrangement), DNA demethylation, gene complementation, SPO11‐induced DNA double‐strand break repair, germ cell genome stability, as well as neuronal differentiation, susceptibility to genotoxin‐induced DNA damage, and cancer onset. The revolution in knock‐in (KI) mouse models was made possible by CRISPR/cas9‐mediated gene editing directly in C57BL/6 zygotes. This technology has helped identify phenotypes associated with germline or somatic mutants of Polβ. Such KI mouse models have helped uncover the importance of key Polβ active site residues or specific Polβ enzyme activities, such as the PolbY265C mouse that develops lupus symptoms. More recently, we have used this KI technology to mutate the Polb gene with two codon changes, yielding the PolbL301R/V303R mouse. In this KI mouse model, the expressed Polβ protein cannot bind to its obligate heterodimer partner, Xrcc1. Although the expressed mutant Polβ protein is proteolytically unstable and defective in recruitment to sites of DNA damage, the homozygous PolbL301R/V303R mouse is viable and fertile, yet small in stature. We expect that this and additional targeted mouse models under development are poised to reveal new biological and organismic roles for Polβ.
Cryoprotective effect of glycopeptide complex from abalone viscera on frozen surimi and its underlying mechanism
Authors: Chen Xu , Yu Luhan , Wu Jinhong , Huang Jianlian , Cai Xixi , Wang Shaoyun 
Published: April 2024

AbstractFreezing technology is important for the long‐term preservation of aquatic products such as surimi. However, mechanical damage caused by ice crystals would lead to quality deterioration. Abalone viscera glycopeptide (AVGP) complex was prepared by hydrolysis technology, which exhibited ice recrystallization ability and antioxidant activity. Moreover, effects of AVGP on Ca2+‐ATPase activity, total sulfhydryl content, secondary structure of myofibrillar protein (MP), rheological properties, and gel properties of surimi frozen were investigated. Results showed that surimi treated with AVGP could improve the gel strength and rheological properties of surimi, reduce the gel ice crystal holes, and improve the degradation of gel matrix caused by freeze–thaw. AVGP can significantly inhibit the decrease of Ca2+‐ATPase activity and total sulfhydryl group content. When the addition of AVGP exceeded 4% (w/w), its freezing protection effect on MP was better than that of commercial antifreeze agents. Moreover, the α‐helix and β‐fold contents in the 4% AVGP group were significantly higher than those in the control group, indicating that the addition of an appropriate amount of AVGP can protect the secondary structure of MP. Therefore, AVGP could serve as a new food ingredient with antifreeze and antioxidant functions for frozen surimi.