bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chemical Composition Analysis and Discrimination of Essential Oils of Artemisia Argyi Folium from Different Germplasm Resources Based on Electronic Nose and GC/MS Combined with Chemometrics
Authors: Guo Dongyun , Yang Yiqin , Wu Yi , Liu Yang , Cao Lan , Shi Yan , Wan Na , Wu Zhenfeng 
Published: January 2023

AbstractIn this study, the electronic nose and GC/MS were used to analyze the chemical components of essential oils from different germplasm resources of Artemisia argyi Folium (A. argyi), in order to quickly identify essential oils of A. argyi from different germplasm resources and clarify the differences among different A. argyi samples. The essential oils of A. argyi were extracted by steam distillation. This article describes for the first time that electronic nose combined with chemometrics can distinguish the essential oils of A. argyi from different germplasm, which proves the reliability and potential of this technology. GC/MS was used to identify 134 volatile components from the essential oil of A. argyi. The main bioactive components were cineole, thujarone, artemisia ketone, β‐caryophyllene, (−)‐4‐terpinol, 3,3,6‐trimethyl‐1,5‐heptadien‐4‐ol, (−)‐α‐thujone, camphor, borneol. In addition, the results of principal component analysis (PCA) and hierarchical cluster analysis (HCA) showed that there were significant differences in the essential oils of A. argyi from different germplasm resources, terpenes, alcohols and ketones played an important role in identifying the essential oils of A. argyi from different germplasm resources. This indicates that electronic nose and GC/MS combined with chemometrics can be used as reliable techniques to identify different germplasm resources of A. argyi, and provide certain reference value for quality evaluation, selection of high‐quality varieties and rational development of resources of A. argyi.
Broadband sub‐6 GHz flower‐shaped MIMO antenna with high isolation using theory of characteristic mode analysis (TCMA) for 5G NR bands and WLAN applications
Authors: Babu K. Vasu , Das Sudipta , Ali Syed Samser , EL Ghzaoui Mohammed , Madhav Boddapati Taraka Phani , K. Patel Shobhit 
Published: January 2023

SummaryA small size neutralization line integrated flower‐shaped MIMO antenna is designed and analyzed for sub‐6 GHz type 5G NR frequency bands like n79 (4400–5000 MHz), n78 (3300–3800 MHz), n77 (3300–4200 MHz), and WLAN (5150–5825 MHz) applications. The novel approach of theory of characteristic mode analysis (TCMA) is introduced to provide physical insight of the designed structure and its characteristics behavior. Due to the suggested modifications in the geometry, the isolation among the patches is greatly increased. The overall miniaturized dimension of the MIMO antenna is 25 × 40 mm2. The edge‐edge spacing among the elements is 0.0233λ. The prototype antenna is fabricated and measured that shows good agreement compared with simulated results. The designed MIMO antenna without the presence of decoupling structure offers an isolation of 28 dB, gain of 3.6 dBi, and radiation efficiency of 69.7% at the resonant frequency. The proposed MIMO antenna covers a broad range of frequency band from 3.296 to 5.962 GHz with −10 dB impedance bandwidth of 2666 MHz and maintains a good isolation of greater than 50 dB for the entire operating band. The tested radiation efficiency and gain are 85.3% and 6.22 dBi at 3.5 GHz. Moreover, the diversity parameters of the neutralization line integrated MIMO antenna, that is, channel capacity loss (CCL) isolation, mean effective gain (MEG), total active reflection coefficient (TARC) diversity gain (DG), and envelope correlation coefficient (ECC), are analyzed and discussed in this article.
Carryover effects of environmental stressors influence the life performance of brown trout
Authors: Louhi Pauliina , Pettinau Luca , Härkönen Laura S. , Anttila Katja , Huusko Ari 
Published: January 2023

AbstractCarryover effects of environmental stressors occur when experiences of the environment in earlier life stages or seasons influence the performance of individuals later in life. These can be especially critical for species that have diverse developmental transition periods in their life cycle, such as salmonid fish. Sublethal changes in metabolism, size, or growth experienced in early life stages may have a long‐lasting effect on the subsequent life performance of these species, but very few studies have formally tested these changes in relation to environmental stressors. Here, we investigated whether different types of fine sediment result in carryover effects that change the life performance of migratory brown trout. First, we manipulated the early habitat conditions of brown trout through the life stages from egg to fry by incubating them in varying substrate treatments (i.e., gravel without added sediment, gravel with added fine sand, and gravel with added organic matter). Exposure to fine sediment during early development had serious effects on the metabolism, size, escape responses, timing of emergence, and potential survival of early life stages. These carryover effects were persistent and remained present over the critical life shift from relying on parentally provided resources as immobile eggs to independent exogenous feeding as parr. Second, fish were relocated as parr to either their original or different treatment environments and their metabolism, size, and growth were reanalyzed. The effects of environmental stress were observed later in their life cycle when fry from the gravel treatment were relocated to sand or organic‐rich treatments. These were found to be significantly smaller in size and had a higher metabolic rate than fry maintained in their original treatment environment. Together, our study experimentally demonstrated that the carryover effects of environmental stressors experienced in early stages may influence the fitness outcomes of migratory fish later in life. We suggest that sublethal environmental stressors should be better considered in restoration schemes and management strategies to reverse the current trend of declining salmonid populations.
Mechanochemical Synthesis of Bi2VO5.5 for Improved Photocatalytic Dye Degradation
Authors: Kumar Manish , Vaish Rahul , Sung Tae Hyun , Kumar Anuruddh , Yousef El Sayed 
Published: January 2023

AbstractA single‐phase Bi2VO5.5 powder is formed effectively through a mechanochemical ball milling approach at 650 °C in 5 h and its photocatalytic performance on methylene blue dye is explored. X‐ray diffraction and Raman spectroscopy analytical instruments are utilized to confirm the phase formation. The evident presence of irregular‐shaped grains is affirmed using a scanning electron microscope. To ascertain the chemical condition of the components present, the Bi2VO5.5 powdered sample undergo an X‐Ray photoelectron spectroscopy investigation. The sample is analyzed using a time‐dependent photocurrent to discern its charge carrier transportation behavior. A photocatalytic study using Bi2VO5.5 powder produced through the mechanochemical ball milling method has not been explored till now. The efficacy of the ball‐milled Bi2VO5.5 powder to attain enhanced photocatalytic efficiency which hasn't been investigated till now, is explored. The ball‐milled Bi2VO5.5 sample achieved 70% degradation efficiency when performing the photocatalysis investigation. The photocatalytic dye degradation discerns pseudo‐first‐order kinetics and achieves a notable k value of 0.00636 min−1. The scavenger test indicates that h+ radicals are the prominent active species during the photocatalysis experiment. The germination index is determined by conducting a phytotoxicity test with the use of Vigna radiata seeds. Here ball‐milled Bi2VO5.5 powder attains enhanced dye degradation efficiency.
Incidence of neurological complications following pediatric heart surgery and its association with neutrophil‐to‐lymphocyte ratio
Authors: Abdshah Alireza , Mirzaaghayan Mohammadreza , Heidari Morteza , Memarian Sara , Amanollahi Mobina , Nazeri Azadeh , Gharib Behdad 
Published: January 2023

AbstractBackground and AimsDue to increased rate of open‐heart surgeries in children, postsurgical mortality and morbidities have increasingly gained attention. Neurological complications are some of the most important postsurgical events. However, the number of studies regarding postsurgical neurological complications seems to be inadequate. We aimed to study the incidence of neurological complications following cardiac surgery in the pediatric cardiac intensive care unit (ICU) of the children's medical center.MethodsThis cross‐sectional study was conducted from March to September 2019. We included all of the children who underwent cardiac surgery and were admitted to ICU at CMC. We collected their demographic data, lab test results (white blood cell count, absolute neutrophile and lymphocyte counts) and calculated their Risk Adjustment for Congenital Heart Surgery (RACHS) score. We then documented neurological adverse events and investigated the associations between those events and the patients' data.ResultsOf the 267 studied patients, 14 developed neurological complications (5.2%); seven developed chorea (2.6%), four developed seizures (1.5%), and two developed both seizure and chorea (0.7%). One case developed subarachnoid hemorrhage (SAH). We observed that age (p = 0.000), weight (p = 0.000), and RACHS score (p = 0.006) were associated with the development of neurological complications. Additionally, we observed that “neutrophil to lymphocyte ratio” was not associated with the risk of postsurgical neurological complications.ConclusionYounger age, lower weight, and higher RACHS score were associated with neurological complications after operations. Given the importance of postsurgical neurological complications, further investigations should be carried out to cover this issue and discover preventive strategies for such morbidities.
By modulating miR‐525‐5p/Bax axis, LINC00659 promotes vascular endothelial cell apoptosis
Authors: Zhu Xizheng , Chen Beijia , Xu Hui 
Published: January 2023

AbstractBackgroundDeep vein thrombosis (DVT) is a vascular disease that has no effective treatment at present. Endothelial cells play a crucial role in the processes vasoconstriction, platelet activation, and blood coagulation and are an integral part of the vascular response to injury resulting in thrombus formation.ObjectiveThe aim of this study was to investigate the roles and mechanisms of long noncoding RNA LINC00659 (LINC00659) in endothelial cells.MethodsThe functions of LINC00659 and miR‐525‐5p on endothelial cells were explored by cell transfection assays, and the expression levels of LINC00659, miR‐525‐5p, and Bax in human umbilical vein endothelial cells (HUVECs) were assessed with reverse transcriptase‐quantitative polymerase chain reaction (RT‐qPCR). Binding sites of LINC00659 and miR‐525‐5p were subsequently analyzed with bioinformatics software, and validated with dual‐luciferase reporter gene assay. Effects of LINC00659 and miR‐525‐5p on proliferation and apoptosis of HUVECs were detected with MTT (3‐(45)‐dimethylthiahiazo (‐z‐y1)‐35‐di‐phenytetrazoliumromide) assay and flow cytometry. RT‐qPCR and western blot analysis were used to evaluate the mRNA and protein levels of apoptosis‐related markers Bcl‐2 and Bax in HUVECs.ResultsLINC00659 directly targeted and negatively regulated miR‐525‐5p, and Bax was a target of miR‐525‐5p. Upregulation of LINC00659 could inhibit proliferation and promote apoptosis of HUVECs, while the silencing of LINC00659 could increase the viability of HUVECs and inhibit apoptosis via upregulating miR‐525‐5p. Further mechanistic studies revealed miR‐525‐5p could negatively regulate Bax in HUVECs, and increased the viability of HUVECs and inhibited apoptosis by downregulating Bax expression.ConclusionLINC00659 played an important role in DVT by regulating the apoptosis of vascular endothelial cells through regulating miR‐525‐5p/Bax axis.
STV‐Na attenuates lipopolysaccharide‐induced lung injury in mice via the TLR4/NF‐kB pathway
Authors: Xu Yanhong , Liu Xiaoming , Zhang Zhihui 
Published: January 2023

AbstractBackgroundAcute lung injury (ALI) is a potentially fatal disorder that is largely caused by inflammation. Sodium isostevanol (STV‐Na) is a terpenoid produced from stevioside, which possesses anti‐inflammatory and antioxidative stress characteristics. nevertheless, it is still unclear how STV‐Na affects ALI. Therefore, we investigated the possible STV‐Na therapeutic impacts on lipopolysaccharide (LPS)‐induced (ALI).MethodsWe employed hematoxylin‐eosin staining to observe the impact of STV‐Na on lung histopathological alterations and used kits to detect the oxidative stress status of lung tissues, such as superoxide dismutase, malondialdehyde, and glutathione. The reactive oxygen species and myeloperoxidase expression in the tissues of lung was assessed by immunofluorescence and immunohistochemistry. Additionally, we detected the impact of STV‐Na on inflammatory cell infiltration in lung tissue using Wright‐Giemsa staining solution and immunohistochemistry, which was found to reduce inflammation in lung tissue by enzyme‐linked immunosorbent assay. Finally, using WB, we examined the impact of STV‐Na on the TLR4/NF‐kB pathway.ResultsWe observed that STV‐Na attenuated lung histopathological alterations in LPS‐induced lung damage in mice, reduced infiltration of inflammatory cell and oxidative stress in the tissue of lung, and via the TLR4/NF‐kB pathway, there is a reduction in the inflammatory responses in mouse lung tissue.ConclusionsThese outcomes indicate that the response of inflammatory cells to LPS‐induced ALI in mice was attenuated by STV‐Na.
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images
Authors: Sahin Muhammet Emin 
Published: January 2023

AbstractOne of the most important problems in orthopedics is undiagnosed or misdiagnosed bone fractures. This can lead to patients receiving an incorrect diagnosis or treatment, which can result in a longer treatment period. In this study, fracture detection and classification are performed using various machine learning techniques using of a dataset containing various bones (normal and fractured). Firstly, the X‐ray images obtained are subjected to image preprocessing stages and are prepared for the feature extraction stage. Then, in addition to the Canny and Sobel edge detection methods used in the image processing stage, feature extraction of X‐ray images is performed with the help of Houhg line detection and Harris corner detector. The data obtained by performing feature extraction is given to 12 different machine learning classifiers and the results are presented. Setting hyperparameters for classifiers is done by the grid search method, and the study is tested for 10‐fold cross‐validation. Classifier results are presented comparatively as accuracy, training time, and testing time, and linear discriminant analysis (LDA) reaches the highest accuracy rate with 88.67% and 0.89 AUC. The proposed computer‐aided diagnosis system (CAD) will reduce the burden on physicians by identifying fractures with high accuracy.
Coupling of electrodialysis and bio‐electrochemical systems for metal and energy recovery from acid mine drainage
Authors: Delgado Yelitza , Llanos Javier , Fernández‐Morales Francisco Jesus 
Published: January 2023

AbstractBACKGROUNDThis work studied the treatment of a synthetic sphalerite acid mine drainage (AMD). The treatment was carried out by means of a previous concentration stage using electrodialysis, followed by electrodeposition using a bioelectrochemical system (BES).RESULTSThe best concentration results were obtained when operating the electrodialysis at 8 V and at a diluate/concentrate volume ratio of 3. This treatment yielded a concentrate fraction of about 25% of the volume and a clear fraction of about 75% of the volume.The concentrated fraction was treated in a BES for the electrodeposition of the metal contained. By operating a microbial fuel cell (MFC), the spontaneous reactions took place and, in 2 days, all the Fe3+ was reduced to Fe2+; then, all the Cu2+ was electrodeposited as pure Cu0 in about 8 days. The maximum current density attained in this stage was 0.1 mA cm−2 and the maximum power was 0.05 W cm−2. Then, a subsequent operation of a microbial electrolysis cell (MEC) allowed for the simultaneous recovery of the Fe2+, Ni2+, Zn2+, and Cd2+ as a mixed metal mass.CONCLUSIONThe electrodialysis yielded a clear effluent representing 75% of the total volume and a concentrated effluent accounting for 25%. It was possible to treat the concentrated effluent in an MFC, recovering pure Cu0 with a net electricity generation. The non‐spontaneous metal reductions were subsequently accomplished by means of MEC, the electricity requirements being lower than those in the case of the raw AMD due to the higher mass transfer rate and the reduction of the Ohmic loses. © 2023 Society of Chemical Industry (SCI).
Determination of bioavailable arsenic threshold and validation of modeled permissible total arsenic in paddy soil using machine learning
Authors: Mandal Jajati , Jain Vinay , Sengupta Sudip , Rahman Md. Aminur , Bhattacharyya Kallol , Rahman Mohammad Mahmudur , Golui Debasis , Wood Michael D. , Mondal Debapriya 
Published: January 2023

AbstractMinimizing arsenic intake from food consumption is a key aspect of the public health response in arsenic (As)‐contaminated regions. In many of these regions, rice is the predominant staple food. Here, we present a validated maximum allowable concentration of total As in paddy soil and provide the first derivation of a maximum allowable soil concentration for bioavailable As. We have previously used meta‐analysis to predict the maximum allowable total As in soil based on decision tree (DT) and logistic regression (LR) models. The models were defined using the maximum tolerable concentration (MTC) of As in rice grains as per the codex recommendation. In the present study, we validated these models using three test data sets derived from purposely collected field data. The DT model performed better than the LR in terms of accuracy and Matthews correlation coefficient (MCC). Therefore, the DT estimated maximum allowable total As in paddy soil of 14 mg kg−1 could confidently be used as an appropriate guideline value. We further used the purposely collected field data to predict the concentration of bioavailable As in the paddy soil with the help of random forest (RF), gradient boosting machine (GBM), and LR models. The category of grain As (<MTC and >MTC) was considered as the dependent variable; bioavailable As (BAs), total As (TAs), pH, organic carbon (OC), available phosphorus (AvP), and available iron (AvFe) were the predictor variables. LR performed better than RF and GBM in terms of accuracy, sensitivity, specificity, kappa, precision, log loss, F1score, and MCC. From the better‐performing LR model, bioavailable As (BAs), TAs, AvFe, and OC were significant variables for grain As. From the partial dependence plots (PDP) and individual conditional expectation (ICE) of the LR model, 5.70 mg kg−1 was estimated to be the limit for BAs in soil.
Does splitting a tablet obtain an accurate dose? A systematic review and meta‐ analysis
Authors: Chaudhri Kanika , Kearney Madeleine , Di Tanna Gian Luca , Gnanenthiran Sonali R. , Day Richard O. , Rodgers Anthony , Atkins Emily R. 
Published: January 2023

AbstractBackgroundTablet splitting is a widely prevalent practice resulting from the need to alter doses into two or more parts and optimise medicine in individual patients. If a tablet is split unequally problems may arise.AimThe aim of the study was to summarise the literature measuring the effect of tablet splitting on dose accuracy.MethodMEDLINE, EMBASE, CINAHL and Cochrane were searched and studies published prior to January 2020 investigating the effect of splitting tablets on dose accuracy were included. Studies investigating any drug, where the tablet was split, were potentially eligible. Two independent reviewers conducted the screening and extracted the data. Meta‐analyses assessing the effect of tablet splitting on dose accuracy were performed. (Study registration: PROSPERO CRD42018106252).ResultsOf 25 included studies, 16 examined the effect of tablet splitting on weight of the tablet, one on drug concentration and eight examined both. Meta‐analysis found small variation between split tablets (0.87% weight variation, 95% confidence interval 0.63%–1.11% and 0.24% drug content variation, 95% confidence interval 0.06%–0.43%). There was some inconsistency across trial results for weight but not for drug content variation (I2 50% and I2 1%, respectively). Splitting method and tablet characteristics were predictors of accuracy.ConclusionAlthough tablet splitting may influence dose accuracy, this analysis suggests that the weight and drug content variation is minimal, regardless of method and tablet characteristics. Additional studies, such as those examining drug plasma concentrations and effect on patient health outcomes for example blood pressure and cholesterol levels, are needed to better understand the role of tablet splitting on dose accuracy.
Fabrication of highly crystalline covalent organic framework for solid‐phase extraction of three dyes from food and water samples
Authors: Wang Junji , Tao Yongqing , Wang Dandan , Wang Luchun , Tian Meng , Yang Yulian , Liu Qiuyi , Zou Yuemeng , Zhou Quan , Ke Famin , Gao Die 
Published: January 2023

Herein, a covalent organic framework, which was fabricated at room temperature by using 1,3,5‐tris(p‐formylphenyl) benzene and 1,3,5‐tris(4‐aminophenyl)benzene as building blocks, was employed as an adsorbent for solid‐phase extraction of dyes including congo red, methyl blue and direct red 80 for the first time. The prepared covalent organic framework was properly characterized by different techniques and the results revealed that it had a uniform spherical structure, high crystallinity, satisfactory surface area, and good thermal stability. Moreover, the adsorption performance of the material was explored by using static and dynamic adsorption experiments and the results indicated that the material showed good adsorption capacities for three dyes with adsorption capacities in the range of 55.25–284.10 mg/g and the adsorption equilibrium can be achieved in 15 min. Further, to achieve the best adsorption effects of the material, the influence parameters such as pH, ionic strength, type of desorption solvent, and the material dosage in the solid‐phase extraction column, were optimized in turn. Finally, under optimal conditions, the solid‐phase extraction coupled with HPLC was applied to the analysis of dyes in food and water samples. The recoveries of dyes in actual samples were satisfactory, revealing the unique applicability of the material in the sample pretreatment field.