bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sound Field Separation Method and Experiment based on Virtual Double Holographic Planes
Authors: Chai Kai , Lou Jingjun , Liu Shuyong , Yang Qingchao 
Published: March 2023

Abstract
Near-field acoustic holography is a cutting-edge sound field visualization technique that allows the acquisition of sound pressure amplitude and phase information in a region near a sound source to reconstruct the surface “acoustic highlights” of the sound source by means of area array, near-field measurements. Near-field acoustic holographic measurements in the free sound field, and the related algorithms to locate and identify noise sources, have many applications in engineering. However, there are still many problems to be studied for the accurate localization and identification of noise sources in non-free fields for large size underwater body sources. Firstly, the theoretical derivation of the sound field separation method based on the virtual double holographic planes is carried out. Secondly, to study the key parameters of the sound field separation method based on the virtual double holographic planes, the genetic algorithm is introduced to select the optimal number of expansion terms for the spherical waves, to give the regularized combination method, and to perform simulations. Then, the simulation studies of air acoustic field and water acoustic field in complex environment are conducted for the sound field separation method based on virtual double holographic planes, and to discuss the effects of measurement parameters on the sound field separation errors. Finally, the feasibility and effectiveness of the sound field separation method based on the virtual double holographic planes are verified in the hydroacoustic tests. Moreover, the reconstruction error in the test is analyzed and a method to reduce the error is given. The results show that the sound field separation method based on virtual dual holographic planes only needs to measure the sound pressure value of a single holographic plane, and there is no requirement for the shape of the holographic plane. This method has the advantages of simple sound field testing, no requirement for the measurement array, and high accuracy of sound field separation compared with the traditional sound field separation method.
Selective and efficient removal of phosphate from aqueous solution using activated carbon-supported MgFe 2 O 4 -layered double hydroxide (LDH) hierarchically porous nanocomposite
Authors: Bezza Fisseha A , Chirwa Evans 
Published: March 2023

Abstract
In the face of the continuous development of novel adsorbents, it remains a scientific challenge to develop robust adsorbents with high efficiency, strong phosphate selectivity, high regenerability, and cost-effectiveness. In the current study, activated carbon-supported MgFe2O4-Layered Double Hydroxide (LDH) nanocomposite was synthesized, and its potential application for phosphate adsorption was investigated. The nanocomposites demonstrated a hierarchical mesoporous structure with BET specific surface area of 193 m2/g and a narrow per-size distribution of ~2 nm. SEM observation revealed the formation of a cubic octahedral structure of the adsorbent with uniform dispersion on the porous activated carbon matrix. The activated carbon-supported MgFe2O4-Layered Double Hydroxide (LDH) exhibited a high point of zero charge (pHzpc) value of 9.8 and robust phosphate adsorption potential over a wide pH range of 4 – 9 due to its high pH buffer capacity. The effect of adsorbent dose, initial phosphate concentration, contact time, and temperature on the phosphate adsorption capacity of the adsorbent was investigated. In the current study up to 99.0% removal of phosphate was achieved at 4 g/L adsorbent dosage in 4 hours at pH 7 and 30°C. The adsorption kinetics, adsorption isotherm, and thermodynamics studies of the adsorbent revealed that the adsorption of phosphate by the activated carbon-supported MgFe2O4 LDH reaches equilibrium within 240 min, with the kinetic experimental data fitting well with the pseudo-first-order kinetics (r2 > 0.99). Langmuir adsorption isotherm model fitted the experimental data well with a maximum adsorption capacity of 25.81mg/g. The intraparticle diffusion model fitted the adsorption data well and demonstrated that the adsorption process is not only controlled by the intraparticle diffusion or micropore diffusion but also by the boundary layer diffusion or macro-pore diffusion effect. The adsorbent displayed strong selectivity of phosphate in the presence of competing anions, and the study demonstrated that AC@ MgFe2O4-LDH would have a promising potential for efficient adsorption of phosphate potential over a wide pH range.
Metal Artifact Reduction Around Cervical Spine Implant Using Diffusion Tensor Imaging at 3T: A Phantom Study
Authors: Tounekti Slimane , Alizadeh Mahdi , Middleton Devon , Harrop James S , Bassem Hiba , Krisa Laura , Mekkaoui Choukri , Mohamed Feroze B. 
Published: March 2023

Abstract
Diffusion MRI continues to play a key role in non-invasively assessing spinal cord integrity and pre-operative injury evaluation. However, post-operative Diffusion Tensor Imaging (DTI) acquisition of a patient with a metal implant results in severe geometric image distortion. A method has been proposed here to alleviate the technical challenges facing the acquisition of DTI in post-operative cases and to evaluate longitudinal therapeutics. The described technique is based on the combination of the reduced Field-Of-View (rFOV) strategy and the phase segmented acquisition scheme (rFOV-PS-EPI) for significantly mitigating metal-induced distortions. A custom-built phantom based on spine model with metal implant was used to collect high-resolution DTI data at 3 Tesla scanner using a home-grown diffusion MRI pulse sequence, rFOV-PS-EPI, single-shot (rFOV-SS-EPI), and the conventional full FOV techniques including SS-EPI, PS-EPI, and the readout-segmented (RS-EPI). This newly developed method provides high-resolution images with significant reduced metal-induced artifacts. In contrast to the other techniques, the rFOV-PS-EPI allows DTI measurement at the level of the metal hardware whereas the current rFOV-SS-EPI is useful when the metal is approximately 20 mm away. The developed approach enables high-resolution DTI in patients with metal implant.
Aromatic Hydrocarbons as Molecular Propellants for Electric Propulsion Thrusters
Authors: Borrfors André Nyberg , Harding Dan J. , Weissenreider Jonas , Ciaralli Simone , Hallock Ashley , Brinck Tore 
Published: March 2023

Abstract
The aromatic hydrocarbons (AHs) fluorobenzene, naphthalene, and 1fluoronaphthalene are introduced as promising alternatives to xenon as propellant for in-space electric propulsion (EP). These storable molecules have similar mass, lower cost, and lower ionization energies compared to xenon, as well as the critical advantage of low post-ionization fragmentation compared to other molecular propellant candidates. The ionization characteristics of AHs are compared with those of xenon and the diamondoid adamantane, previously evaluated as a molecular propellant for EP. Quantum chemical calculations and BEB theory together with 25 eV electron ionization mass spectrometry (EI-MS) measurements have been used to predict the fragmentation of the AHs and adamantane when ionized in a plasma with an electron temperature of 7 eV (a typical electron temperature in EP plasmas). A high fraction (81 − 8 %) of the detected AH ions originate from intact molecules, compared to 3 % for adamantane. indicating extraordinarily low fragmentation for the selected AHs. The ionization potential of the AHs is similar to that of adamantane but lower compared to xenon (8.14–9.2 eV for the AHs, 9.25 for adamantane and 12.13 eV for xenon). BEB calculations have also been used to predict total ionization cross sections. The calculated ionization cross section of the AHs is comparable to that of adamantane but 3–5 times higher than that of xenon, which together with the low ionization potential can contribute to more efficient ionization. The AHs may have the potential to perform better than xenon, despite the absence of fragmentation in xenon.
Enhancement of Vanadium Redox Flow Battery Performance with Nitrogen-Functionalized Graphite Felt Electrodes Etched by K2 FeO4
Authors: Li Hongwei , Wang Huina , Xie Yueyang , Wang Yukun , Yan Guanghong , Wang Bin , Xue Fei 
Published: March 2023

Abstract
Doping with oxygen and nitrogen in graphite felt (GF) is critical for enhancing the activity of the electrode material in vanadium redox flow batteries (VRFB). In this paper, we present a combined approach that utilizes Fe etching and nitrogen doping by means of K2FeO4 and NH3 to modify the surface structure of graphite fibers. The results show that the innovative approach enhances the disordered structure of the surface carbon of GF and substantially improves the oxygen and nitrogen functionalized groups. This modified GF is completely hydrophilic, and its assembled electrode energy efficiency is 80.08% at a current density of 80 mA∙cm− 2, compared with 69.87% for the pristine GF. The energy efficiency of the modified GF was maintained at 81.8% after 50 charge-discharge cycles. This can be attributed to the reduced internal resistance of these modified GF electrode as well as to the improved mass transport and charge redox exchange towards VO2+/VO2+ redox couple. The approach of combined Fe etching and nitrogen doping is a simple and effective technique that significantly boosts the performance of VRFB.
Multistep Ahead Forecasting of Electrical Conductivity in Rivers by Using a Hybrid Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) Model Enhanced by Boruta-XGBoost Feature Selection Algorithm
Authors: Karbasi Masoud , Ali Mumtaz , Bateni Sayed M. , Jun Changhyun , Jamei Mehdi , Yaseen Zaher Mundeheer 
Published: March 2023

Abstract

Electrical conductivity (EC) is a key water quality metric for predicting the salinity and mineralization. In this study, the 10-day-ahead EC of two Australian rivers, Albert River and Barratta Creek, was forecasted using a novel deep learning algorithm, i.e., the convolutional neural network combined with long short-term memory (CNN-LSTM) model. The Boruta-extreme gradient boosting (XGBoost, XGB) feature selection method was used to determine the significant inputs (time series lagged data) for the model. The performance of the proposed Boruta-XGB-CNN-LSTM model was compared with those of three machine learning approaches: multi-layer perceptron neural network (MLP), K-nearest neighbor (KNN), and XGBoost, considering different statistical metrics such as the correlation coefficient (R), root mean square error (RMSE), and mean absolute percentage error (MAPE). Ten years of data for both rivers were extracted, with data for seven (2012–2018) and three years (2019–2021) used for training and testing the models, respectively. The Boruta-XGB-CNN-LSTM algorithm outperformed the other models in forecasting the 1-day-ahead EC in both stations over the test dataset (R = 0.9429, RMSE = 45.6896, and MAPE = 5.9749 for Albert River; and R = 0.9215, RMSE = 43.8315, and MAPE = 7.6029 for Barratta Creek). In addition, the Boruta-XGB-CNN-LSTM model could effectively forecast the EC for the next 3–10 days. Nevertheless, the performance of the Boruta-XGB-CNN-LSTM model slightly deteriorated as the forecasting horizon increased from 3 to 10 days. Overall, the Boruta-XGB-CNN-LSTM model is an effective soft computing method for accurately predicting the EC fluctuation in rivers.
Investigating the association of physical and psychological problems with the levels of interleukin-1 and -6 in Covid-19 patients
Authors: Molavynejad Shahram , Bahadori-birgani Galia , Rashidi Mahboobeh , Amiri Fereshteh , Maraghi Elham , Dashtbozorgi Bahman , Ulhaq Zulvikar Syambani , Alizadeh-attar Gholamreza 
Published: March 2023

Abstract
Introduction: The Covid-19 virus spreads at a high rate, exerting many physical, mental and psychological effects on patients. Patients with Covid-19 have been reported to have high levels of interleukin 1 and interleukin 6. Therefore, this study was conducted to determine the association of physical, mental, and psychological problems with the levels of interleukin-1 and − 6 in Covid-19 patients. Methodology: This is cross-sectional descriptive-analytical research on 121 Covid-19 patients selected using simple random sampling method. The patients were hospitalized in university hospitals affiliated to Ahvaz Jundishapur University of Medical Sciences and Amir al-Momenin Hospital. Data collection tools included the Depression Anxiety Stress Scale (DASS), a demographic questionnaire, and a checklist of physical problems. Blood sampling was also done to perform an ELISA test and measure the level of interleukin-1 and − 6. Data were analyzed based on independent t-tests, chi-square, regression, and Pearson's correlation coefficient, using SPSS ver. 22. Results: The average age of the 121 patients participating in this study was 53.31 ± 14.09. A direct and statistically significant correlation was observed between body temperature on the first day and interleukin 1 level. A statistically significant negative correlation was observed between blood oxygen saturation level and interleukin-1 and − 6 on the first, third and fifth days. Shortness of breath and coughing had a statistically significant correlation with the level of interleukin 1 on the third and fifth days. A direct and statistically significant correlation was observed between body temperature on the first, third and fifth days and interleukin 6 level. Coughing on the third and fifth days had a statistically significant relationship with interleukin 6 level. No direct and non-significant statistical correlation was found between depression and stress and the serum level of interleukin 1, but a significant correlation was observed between anxiety and serum level of interleukin 1. Finally, the results showed that depression, anxiety and stress had a direct and statistically significant correlation with the serum level of interleukin 6. Conclusion: Given the relationship between interleukin-1 and − 6 and most physical and psychological problems, level of the inflammatory biomarkers interleukin-1 and − 6 can be used to estimate the severity of physical and psychological symptoms in Covid-19 patients.
Population dynamics of whitefly Bemisia tabaci (Gennadius 1889) and characterization of their natural enemy community in transgenic Bt and non-Bt cotton
Authors: Kedar Santosh C. , Saini R. K. , Kumaranag K. M. , Bawaskar Datta M. , Bhamare Vijay , Navik Omprakash 
Published: March 2023

Abstract

WhiteflyBemisia tabaci(Gennadius) (Hemiptera: Aleyrodidae) is a major sucking pest of agricultural and horticultural crops. It causes economic damage directly by feeding plant foliage and indirectly serves as a vector for deadly plant viruses. We studied the population dynamics ofB. tabaciand the associated natural enemies in the Bt and non-Bt cotton ecosystems. Through three years of investigation, the population ofB. tabaciappeared and remained for 23 weeks both in Bt and non-Bt cotton. The population of adults and nymphs ofB. tabaciwere higher during the last week of July (30th week; 13.47 ± 8.03 adults leaf–1) and mid of August (33rd week; 91.16 ± 82.67 nymphs leaf–1), respectively in Bt cotton. In non-Bt cotton, the higher population of adults and nymphs was found during the last week of July (30th week; 7.73 ± 3.64 adults leaf–1) and the last week of August (34th week; 35.66 ± 33.37 nymphs leaf–1), respectively. We recorded, 25 species of natural enemies (NEs) ofB. tabaci, of which 23 were predators and one species of parasitoid and the entomopathogenic fungi in Bt and non-Bt cotton. The aphelinid parasitoidEncarsia lutea(Masi) was more abundant (71.29%) NEs, followed by coccinellidSerangium parcesetosumSicard (7.76%). We found no significant difference in the abundance of the NEs observed between the Bt and non-Bt cotton. In general, climatic variables such as maximum and minimum relative humidity, temperature and rainfall influenced the build upofB. tabacipopulation and NEs abundance both in Bt and non-Bt cotton. Our study recorded higher population ofB. tabaciin Bt cotton than the non-Bt cotton and the pest population was regulated by NEs and the prevailing climatic conditions of the region. Thus, the NEs community and population dynamics ofB. tabacineed to be taken into consideration for the development of IPM. Further conservation of these wide arrays of NEs could help in the management of this pest for sustainable cotton production.
Extreme Weather Expands Women’s Autonomy Where Households are Labor-Constrained: Evidence on the Impact of Droughts in Bangladesh
Authors: Brule Rachel , Dixit Akshay 
Published: March 2023

Abstract
Can climate-change induced extreme weather alter women's autonomy in patriarchal societies? We theorize that where households are constrained in male labor, the income shortfalls caused by droughts push women into paid work outside families, reducing women’s subordination in families. Using data on over 78,000 households in Bangladesh, a country at the leading edge of climate change, we find that exposure to droughts increases women’s average involvement in paid work. These effects are concentrated in urban areas, where women’s work outside the household rises by 37% and support for domestic violence drops by 34%. The opposite effects appear in rural areas, where women’s work decreases and support for domestic violence rises. Consistent with the theorized mechanism—labor constraints—the average urban household size remains unchanged following a drought, while rural households expand to additional male visitors. These findings illuminate the circumstances under which gendered power may be disrupted by weather shocks.
Novel pathogenic variants of SLC38A8 gene and literature review
Authors: Ren Xiaofang , Huang Lijuan , Cheng Shan , wang Jing , Li Ningdong 
Published: March 2023

Abstract
Purpose This study aimed to analyze the clinical and genetic characteristics of 6 Chinese Han patients with foveal hypoplasia (FH) caused by the variants of solute carrier family 38 member 8 (SLC38A8) gene, and to describe the genotype and phenotype of SLC38A8 gene variants from previous literature.
Methods All subjects underwent comprehensive ophthalmic examinations including slit lamp microscope, fundoscopy, and retinoscopy refraction. Optical coherence tomography (OCT) was performed to evaluate the structural grade of foveal hypoplasia. Pathogenic variants of SLC38A8 gene were identified using panel-based next-generation sequencing, direct Sanger sequencing, and quantitative reverse transcription-polymerase chain reaction (RT-qPCR) techniques. Further, all previously reported cases of SLC38A8 variants were re-analyzed together with the novel ones identified in this study.
Results Nystagmus and FH were present in 6 patients with variants of SLC38A8 gene, accompanied by a normal anterior segment. Grade 4 FH was identified in 4 patients who could cooperate with the OCT scan. A total of 12 variants of SLC38A8 gene were identified, including 9 novel variants. The missense variants were predicted to be pathogenic by the online programs. Systematical analysis revealed that half of the variants (30/60) were missense, and the majority of which (23/30) were distributed in the transmembrane (TM) domains. Grade 4 FH was detected in the majority of patients (66%, 23/35), and anterior segment dysgenesis (ASD)was found in 16.5% of patients (15/91). There was no statistical difference in the clinical features between the subgroups of patients with 0, 1 and 2 missense variants.
Conclusion Severe arrest of foveal development was identified in patients with variants of SLC38A8. The novel identified variants may expand the spectrum of pathogenic variants of SLC38A8. This study summarized the phenotypic and genotypic characteristics of SLC38A8variants, which would help the FH patients with early diagnosis.
Organoleptic attributes and Tibia bone retention of broiler chickens fed Moringa oleifera and Allium sativum
Authors: Oluwafemi Agbetuyi 
Published: March 2023

Abstract
240 day-old cobb 500 broiler chickens was used to determine the organoleptic attributes and tibia bone mineral retention of broiler chicken fed Moringa oleifera leaf powder (MLP) and Allium sativum bulb powder (ABP) based diet. The birds were randomly assigned to 5 dietary treatments with 4 replicates of 12 birds each. The treatments were T1 = control diet, T2 = MLP replaced with soya bean meal at 1%, T3 = MLP replaced with soya bean meal at 3%, T4 = MLP replaced with soya bean meal at 1% + 0.1% ABP and T5 = MLP replaced with soya bean meal at 3% + 0.3% ABP. The feeding trial lasted for a 28-day starter phase and another 28-day finisher phase. Data were collected on organoleptic attributes and tibia bone retention. Data collected were subjected to General Linear Model Procedure of SAS v13. Significant means were separated using Tukey’s Procedure tested at a 5% level of significance. At the starter phase, the results show that colour, taste and juiciness were significantly (P < 0.05) difference, while colour, taste, aroma, juiciness, tenderness and overall acceptability in the finisher phase were comparable (P > 0.05) to those fed the control diet. Weight and length of the bone were significantly (p < 0.05) reduced by the dietary treatment, while calcium content was progressively higher with T5 showing the highest value (752.50 mg/100g). In finisher phase, weight, length, diameter and calcium revealed an improvement in their response to the dietary treatment. The treatments ensure meat acceptability and strong tibia bone formation.
Optimization of chemical conditions for metabolites production by Ganoderma lucidum using response surface methodology and investigation of antimicrobial as well as anticancer activities
Authors: Tajik Alireza , Samadlouie Hamid Reza , Farrokhi Amir Salek , Ghasemi Amir 
Published: March 2023

Abstract
Ganoderma lucidum (G. lucidum) is a medical mushroom known for its tendency to produce physiologically active compounds with far-reaching effects on human health. Herein, the significance of titanium dioxide (TiO2 NPs), magnesium oxide nanoparticles (MgO2 NPs) and vitamin B6 along with various microelements in the rise of polysaccharide and ganoderic acid (GA) through One Factor At time were examined. TiO2 NPs, MgO2 NPs and B6 along with glucose syrup and CLS syrups were discovered to be best for GA productions. Wheat starch and whey protein along with MgO2 NPs and B6 vitamin stimulated polysaccharide production. After screening, the response surface method (RSM) statistically predicted that the media containing (g/l): 42.11 wheat starch with 22 whey protein and 50 glucose syrups with 30 CSL were optimal chemical conditions for polysaccharide (21.47 percent of dry weight biomass (DWB)) and GA (20.35 mg/g DWB) production respectively.The moss of the fruit body of G. lucidum produced under optimal condition of GA was of the highest diversity in flavonoids and phenolic acids with significant antimicrobial activity against Esherichia coli and Bacillus subtilis. Moss, stem and shell of G. lucidum aggravated the substantial MDA-MB-231 cell death at a dose of 500 µg/ml. The IC50 levels of shell and stem of G. lucidum were 465.3 and 485.7 µg/ml, while moss did not reach 50% inhibition.