bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Electroconvection in an Anisotropic Saturated Porous Layer With Time Dependent Sinusoidal Electric Field
Authors: Chandrappa Rudresha , Chandrashekar Balaji , Maruthamanikandan Sokalingam , Venkatesh Vidya Shree 
Published: April 2023

Abstract
The study of electroconvection in porous media has important implications in fields such as geophysics, chemical engineering, and materials science. In this particular investigation, the impact of a time-dependent sinusoidal electric field on a sparsely distributed anisotropic porous layer is analysed using perturbation techniques. The fluid layer is heated from below and cooled from above, and the momentum equation accounts for the effects of both the electric force and the anisotropic porous Brinkman terms. The regular perturbation method is employed to solve the resulting eigenvalue problem, with the dielectric constant assumed to be a linear function of temperature. The correction Rayleigh number, which depends on various factors including temperature, electric field frequency, and porosity, is used to define the stability system. The results of this study could shed light on the underlying mechanisms of electroconvection in porous media and potentially inform the design of relevant applications. The results show that the onset of electroconvection can be advanced or delayed due to anisotropic properties. The study also demonstrates that the modulation frequency of the electric field has a significant effect on stability. The findings have potential implications for controlling electroconvection using a time-varying electric field.
Simulation of Hydromagnetic Williamson nanofluid flow with melting heat transfer and Activation Energy across a porous exponential stretching surface
Authors: Dharmaiah G. , Balamurugan K. S. , Prasad J. L.Rama , Chamkha Ali J. 
Published: April 2023

Abstract
This discussion examines the combined effects of Brownian motion, radiation, Thermophorises, activation energy, suspended nanoparticles on hydromagnetic flow Williamson nanofluid produced by the melting process. In order to mathematically describe the system, a set of strongly non-linear coupled PDEs is used. A BVP4C MATLAB solver is used to resolve these equations. In addition, calculated findings are compared with previously published publications, and high levels of consistency are noted. The emerging Williamson MHD nanofluid sketches are graphically shown. Besides, tabular data on shear stress, heat transfer coefficient, and concentration is shown. Intriguingly, it can be shown that when the Williamson parameter increases, the momentum boundary layer corpulence decreases, while the thermal and solutal boundary layers corpulence increases. This research applies to chemical engineering coating materials such strong paints and aerosol manufacture.
Mechanochemical-assisted extraction and enzymatic hydrolysis of calcium phytate from defatted rice bran
Authors: Zheng Lei , Zhu XingYi , Wang Jialu , Su Weike 
Published: April 2023

Abstract
BACKGROUND: Mechanochemical-assisted extraction (MCAE) and mechanochemical-assisted enzyme catalysis (MCAEC) methods were developed for extraction and enzymatic hydrolysis of calcium phytate from defatted rice bran, respectively.
RESULTS: Through response surface methodology design experiments, the MCAE conditions were optimized as follows: amount of solid reagent (Na2CO3) 10%, milling time 33 min, ball material ratio 18: 1, speed of ball milling 330 rpm and extraction pH 5.5. Under these conditions, the yield of calcium phytate was 97.0 mg/g. The MCAEC conditions were optimized as follows: 2% enzyme addition, MM400 milling time 36 min, PM400 milling speed 262 rpm, MM400 milling frequency 27 Hz and the addition of pH 5.5 sodium acetate buffer 3 mL. Under these conditions, the hydrolysis rate of calcium phytate was 39.7%.
CONCLUSION: Compared with traditional extraction and enzymatic hydrolysis methods, the MCAE and MCAEC could obtain higher yield and hydrolysis rate, respectively.
Structure Elucidation, Phytochemical Investigation and Pharmacological Screening of Spinacia Oleracea for Anti-Diabetic Activity
Authors: Rajawat Dharna Singh , Tiwari Brajesh Kumar , Sharma Neeraj , Sahu Rohit 
Published: April 2023

Abstract
The present study was based on structure elucidation, phytochemical investigation, and pharmacological screening of Spinacia oleracea for anti-diabetic activity. The qualitative phytochemical screening of the extracts was analysed for the presence of alkaloids, carbohydrates, glycosides and anthraquinones, flavonoids, tannins and phenolic compounds, proteins and amino acids, saponins, sterols and or triterpenes. In this study, the methanolic extract of S. oleracea had shown the presence of numerous phytoconstituents. The isolation of compounds was performed on the methanolic extract of S. oleracea using column chromatography. In S. oleracea, erythritol was isolated kaempferol was isolated. The compounds were identified based on the spectral studies i.e., Infrared spectroscopy (IR), Nuclear Magnetic Resonance (1H-NMR & 13C-NMR) and Mass Spectra and the structure was elucidated. The diabetic rats exhibited lower activities of superoxide dismutase (SOD), glutathione peroxidase (GPx), catalase (CAT), and reduced glutathione (GSH) content in pancreas and hepatic tissues as compared with normal rats. The activities of SOD, CAT, GPx and GSH were found to be increased in S. oleracea (200mg/kg) treated diabetic rats. The increased level of malondialdehyde, an index of lipid peroxidation in diabetic rats was also found to be reverted to near-normal status in extract-treated groups. S. oleracea (200mg/kg) ameliorated the histopathological changes in the hepatic and pancreas tissues. Glibenclamide was used as a reference and showed similar antidiabetic effect. The structural changes are clearly oxidative in nature and are associated with development of vascular disease in diabetes. In results, it demonstrated statistically significant hypoglycemic and hypocholesteremia-like action when observed and compared with control group. It also exhibited potent anti-oxidant potential. In conclusion, it might be said that Spinacia oleracea is effective in the management of diabetes mellitus having numerous potential bioactive molecules. It could be used in the treatment of Type-II diabetes mellitus and to replenish the electrolytes and minerals in abundance.
Benthic biodiversity by baited camera observations on the Cosmonaut Sea shelf of East Antarctica
Authors: Mou Jianfeng , He Xuebao , Liu Kun , Huang Yaqin , Zhang Shuyi , Zu Yongcan , Liu Yanan , Cao Shunan , Lan Musheng , Miao Xing , Lin Heshan , Liu Wenhua 
Published: April 2023

Abstract

A free-fall baited camera lander was launched for the first time on the Cosmonaut Sea shelf of East Antarctica at the depth of 694 m during the 38th Chinese National Antarctic Research Expedition (CHINARE) in 2022. We identified 31 unique taxa (23 of invertebrates and 8 of fishes) belonging to 8 phyla from 2403 pictures and 40 videos. The Antarctic jonasfish (Notolepis coatsi) was the most frequently observed fish taxa. Ten species of vulnerable marine ecosystem (VME) taxa were observed, accounting for 32% of all species. The maximum number (MaxN) of Natatolana meridionalis individuals per image frame was ten, and they were attracted to the bait. The macrobenthic community type was sessile suspension feeders with associated fauna (SSFA), which was shaped by the muddy substrata with scattered rocks. Rocks served as the best habitats for sessile fauna. The study reveals the megafauna community and their habitat by image survey in the Cosmonaut Sea for the first time. It helped us obtain Antarctic biodiversity baselines and monitoring data for future’s ecosystem health assessment and better protection.
Integrated bioinformatics and network pharmacology to identify the therapeutic target and molecular mechanisms of Scutellaria barbata plus Hedyotis diffusa herb pair on esophageal squamous cell carcinoma
Authors: Xing Xiaoliang , Xing Chaoqun , Zhang Xuemei , Yao Zhiyong 
Published: April 2023

Abstract

Objective:This study aims to systematically investigate the therapeutic targets and molecular mechanisms ofScutellaria barbataplusHedyotis diffusaherb pair (SBHD) on esophageal squamous cell carcinoma (ESCC)based on GEO gene microarray combined with network pharmacology and molecular docking technology.Methods:Theactive components and effective targets of SBHD were retrieved and downloaded from the TCMSP database, and the differentially expressed genes (DEGs) of ESCC were retrieved and downloaded from the GEO database. The intersection targets between medicine target genes and disease target genes were screened by drawing Venn diagram. Bioinformatics tools such as R language, Cytoscape software, STRING platform, and DAVID platform, were applied to perform active components-targets regulatory network analysis, PPI network analysis, and GO and KEGG pathway enrichment analysis. Molecular docking was performed to validate the interaction between the core active components and the key target genes by AutoDock Vina tools.Results:A total of 33 main active componentswere predicted from herb pair, and 28 intersection targets were screened from 105 medicine target genes and 4064 disease target genes. A topological analysis of the active components-targets regulatory network and PPI network revealed 5 core ingredients and 6 key targets for SBHD treating ESCC, respectively. KEGG enrichment analysis found that SBHD could affect cellular senescence, hepatitis B, MAPK signaling pathway, proteoglycans in cancer and apoptosis in ESCC. Molecular docking found that the 5 core active compounds had good binding properties with the 6 key therapeutic targets.Conclusion:The therapeutic effects of SBHD on ESCC might be related to the active components including quercetin, baicalein, luteolin, stigmasterol and wogonin, which intervened with the key targets including IL6, CASP3, MYC, AR, CAV1 and RUNX2, and the signaling pathway including cellular senescence, hepatitis B, MAPK signaling pathway, proteoglycans in cancer and apoptosis.
Pretreatment lymphocyte-to-monocyte ratio as a prognostic factor and influence on dose-effect in fractionated stereotactic radiotherapy for oligometastatic brain metastases in non-small cell lung cancer patients
Authors: Chen Tian , Tang Mengqiu , Zhou Yang , Wang Zhepei , Li Shiwei , Wang Hongcai , Lu Yangfang , Wang Jinguo , Shen Weiyu 
Published: April 2023

Abstract
Background Studies on the prognostic factors for patients with brain oligo-metastasis treated with fractionated stereotactic radiotherapy (FSRT) usually focus on the size of metastatic tumor and radiation dose. Some inflammatory indicators have predictive value in non-small cell lung cancer (NSCLC) with brain metastasis receiving stereotactic radiotherapy. However, the prognostic value of inflammatory indicators in NSCLC patients with brain oligo-metastasis treated with FSRT, and their effect on radiotherapy dose is unknown.Methods A total of 95 advanced NSCLC patients with brain oligo-metastasis who had undergone FSRT treatment at Ningbo Medical Center Lihuili Hospital between January 2015 and April 2022 were enrolled into the study. Neutrophil to lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), tumor diameter and biologically effective dose (BED10) were analyzed using Chi-square test. Univariate and multivariate Cox regressions were used to identify predictors of survival.Results Tumor diameter (< 2 cm), BED10 (≥ 48Gy) and LMR (≥ 4) were found to be independently associated with good intracranial local control survival (i-LCS) through multivariate analysis. The median i-LCS was longer in patients with 2 independent risk factors (tumor diameter ≥ 2 and LMR < 4) administered with BED10 > 53.6Gy compared with patients administered with BED10 ≤ 53.6Gy (20.7 months vs 12.0 months, P = 0.042). LMR ≥ 4 and positivity for driver gene mutations were independently associated with better overall survival (OS).Conclusions LMR is an independent prognostic factor of i-LCS and OS in NSCLC patients with brain oligo-metastasis treated with FSRT. Patients with tumor diameter ≥ 2 and LMR < 4 should be treated with BED10 greater than 53.6Gy.
Towards inclusive growth in Africa: Remittances, and financial development interactive effects and thresholds
Authors: Ofori Isaac K. , Gbolonyo Emmanuel , Dossou Marcel A. T. , Nkrumah Richard K. , Nkansah Emmanuel 
Published: April 2023

Abstract
The study employs macro data for 42 African countries to examine the interactive and threshold effects of financial development in the remittances-inclusive growth relationship. First, evidence based on the system GMM estimator shows that remittances are not statistically significant in promoting inclusive growth in Africa. Notably, across the economic growth and income inequality dimensions of inclusive growth, we find that although remittances are ineffective in boosting the former, they deepen the latter. Second, we find that Africa’s underdeveloped financial sector dampens the marginal positive effect of remittances on inclusive growth. Third, our threshold analysis indicates that for financial development to interact with complementary policies to foster inclusive growth in Africa, a minimum threshold of 14.5% is required. We conclude by informing policy on the level of investments needed for financial development to promote fairer income growth and distribution in Africa.
JEL Codes: F22, F24, G21, I3, N27, O11, O55
Skin Cancer Detection using Multi ScaleDeep Learning and Transfer Learning
Authors: Hajiarbabi Mohammadreza 
Published: April 2023

Abstract
Skin Cancer is on the rise and Melanoma is the most threatening typeamong the skin cancers. Early detection of skin cancer is vital in order toprevent the cancer to be spread to other parts. In this paper a transfer-learning based system is proposed for Melanoma lesions detection. In theproposed system first, the images are preprocessed for removing the noiseand illumination effect. In the next step a convolutional neural networkis trained based on transfer learning using the weights of ImageNet dataset. In the third step the network is fine-tuned to become more specializedfor detecting the Melanoma versus other types of benign cancers. Theproposed system uses the information from the image in 3 stages. In eachstage the focus will be more concentrate on the center on the image wherethe suspicious part is. The results from these parts are combined andapplied to a fully connected neural network. Results shows the superiorityof the proposed methods compare to other state-of-the arts methods.
Association of a Video Patient Decision Aid with Shared Decision-Making in Undescended Testicle Consults: A Randomized Control Study
Authors: Wengryn Derek M. , Atwell Michael F. , Ogundipe Eniola A. , Beltran Gemma G. , Pfeifer Zachary D. , Bidikov Luke , Chidsey Berrien , Sevick Carter J. , Vemulakonda Vijaya M. 
Published: April 2023

Abstract
Purpose To evaluate the effect of an educational video on parental perceptions of the shared decision-making (SDM) process in the setting of initial consultation for undescended testis (UDT).Methods Randomized control study of patients aged 0–18 years old and their parents presenting to the urology clinic for evaluation of UDT. The shared decision-making questionnaire (SDMQ9) was used to measure parental perception of SDM in the intervention and control groups. Parents in the intervention group viewed an educational video on UDT prior to their visit.Results 258 patients were included in the study; 144 were assigned to the control group and 114 were assigned to the intervention group. Mean scores on the SDMQ9 were not statistically different between the groups (91.9 vs 85.6, p = 0.077). Responses were significantly improved in one individual question in the intervention group: “My doctor and I thoroughly weighed the different treatment options” (p = 0.041).Conclusion The use of an educational video did not increase overall perception of the SDM process but did improve perception in a single aspect of the process. Our findings suggest that decision aids may be less useful in improving the SDM process in this setting, although further research is needed to optimize these interventions.
Neural Computing of Erosion Assessment in Al-20TiO2 HVOF Thermal Spray Coating
Authors: Singh Jashanpreet , Vasudev Hitesh , Szala Mirosław , Gill Harjot Singh 
Published: April 2023

Abstract

Stainless steel (SS) 316L is widely used for hydraulic machinery of ash disposal slurry pump. In this work, the Al-20TiO2 coating powders were sprayed on SS316L materials using HVOF technique. The various properties such as erosion resistance, microhardness, microstructure, roughness, etc. were tested during the experiments. A pot tester was used to examine the rate of erosion. At an impact angle of 60 degrees, Al-20TiO2 coatings were found to erode the most. The neural computing was performed by using the artificial neural network model (ANN). Present ANN model produced the Pearson coefficient (R) of 0.99903, 0.99301, and 0.99194 respectively for training, validation and testing. The overall R value of model was found as 0.99686. Microscopically, Al-20TiO2 demonstrated semi-brittle erosion behavior. Craters and ductile fractures were the most common erosion wear mechanisms detected on the Al-20TiO2 coating, indicating that this material had semi-ductile properties.
Coxiella burnetii from cell and axenic cultures has similar viability but varied vitality as measured by using a methylcellulose semi-solid medium
Authors: Xi Yuan , Ren Yuhao , Shang Xueyi , Lu Shanshan , Luo Shengdong , Fan Huahao , Tong Yigang , Song Lihua 
Published: April 2023

Abstract
The invention of axenic media for culturing Coxiella burnetii has greatly promoted studies on this fastidious bacterium. In this study, we report a methylcellulose-supplemented ACCM-2 medium that allows the enumeration of C. burnetii colonies after growing for up to 15 days. Colony forming units (CFUs) of C. burnetii from both axenic and cell cultures were measured in this methylcellulose medium at various time points (8, 12, and 15 days post-plating). Increasing CFU numbers were observed for both cultures at these time points. The ratios of genome equivalents to CFUs at 15 days post-plating and the ratios of CFUs at 15 days to 8 days post-plating were employed to evaluate the viability and vitality of C. burnetii, respectively. We discovered that C. burnetii from cell and axenic cultures exhibit similar viability (7.72 vs 7.11), but that cell culture-derived C. burnetii demonstrates greater vitality than axenic cultures (1.63 vs 5.2). This work sheds light on the normal viability but low vitality of ACCM-2-derived C. burnetii.
Using Semantic Query Expansion and Relevance Feedback for an Effective Tweet Contextualization Process
Authors: Dhokar Amira , Hlaoua lobna , Romdhane Lotfi Ben 
Published: April 2023

Abstract
Bound to 240 characters, tweets are short and ambiguous by nature due to the way they are written, without maintaining formal grammar and proper spelling. These constraints increase the possibility of the tweet’s misunderstanding. Thus, it is essential to know the original context of their realization. This paper falls under the tweet contex-tualization task which aims to produce an informative and coherent paragraph, called a context, from a set of documents in response to topics treated by the tweet, allowing a reader to better understand the tweet. We propose to combine a semantic query expansion approach and Relevance Feedback technique in order to enhance queries (tweets) and documents (returned by the Information Retrieval System), to produce more informative contexts.The effectiveness of our method is proved through an experimental study conducted on the INEX 2014 collection.
Electrochemical Study and Mathematical modelling of PVC embedded TTP Composite membrane using TMS theory
Authors: Siddiqui Salman , Khan Mohammad Mujahid Ali , . Rafiuddin 
Published: April 2023

Abstract
The membrane potential has been studied to characterize the ion-transport processes across a charged membrane while utilizing electrolytes to synthesized PVC embedded Tin tungstophosphate (TTP) composite membranes (KCl, NaCl KNO3 and NaNO3). It is discovered that the membrane was found to be cation-selective and that the electrolytes gave membrane potential in the following order: NaCl>KCl>NaNO3>KNO3. The estimates of the electrolytes of this membrane's fixed-charge density, charge effectiveness, and transport characteristics were made using the results. The most significant factor controlling transport phenomena in membranes is the fixed-charge density. It is calculated using the TMS approach; because of the potential adsorption of particular ions, it depends on the composition of the feed. The ionic radii of the counter-ions affect the electrolytes' ability to conduct charges in a membrane in a certain sequence. The theoretical prediction for membrane potential is remarkably compatible with the experimental findings. SEM, EDX, XRD and FTIR are used to examine the morphology of the membrane surface, and TG/DTA are used to evaluate thermal stability.
Case Study on the Application of Deep Learning to Network Intruder Detection
Authors: Raja M.Chithik 
Published: April 2023

Abstract
Many application domains have had great success using deep learning. Its efficacy in the context of network intrusion detection hasn't, however, been thoroughly examined. In this article, we present a case study on the application of deep learning to both supervised and unsupervised identification of network anomalies. We demonstrate that Deep Neural Networks (DNNs) are robust in the presence of changeable IP addresses and can outperform existing machine learning-based intrusion detection systems. We also demonstrate how auto encoders can be useful for detecting network anomalies.
Supplementation of Clostridiales affects microbial profile and induces sex- specific social behavior deficits in mice following prenatal immune insult
Authors: Deitzler Grace E , Martin Austin , Singla Priyanka , Phillips Alexandra , Martin-Varnum Annabel , Zhivaya Elizaveta , Livni Maya , Quinn Shannon , Adkisson Rachel , Hokanson Kenton C , Magnusson Kathy R , David Maude M 
Published: April 2023

Abstract
Background: Autism spectrum disorder (ASD) is a heritable and complex neurodevelopmental disorder with both genetic and environmental risk factors, with a male:female diagnosis ratio of 3:1. ASD can be modeled in rodents using Maternal Immune Activation (MIA). In this model, pregnant mice undergo an immune challenge that leads to ASD-relevant phenotypes in their offspring. Previous work in male mice has shown that the microbiota of the gastrointestinal tract drives the development of abnormal behavior in the MIA model. In this study, we tested whether modulating the microbial composition of the MIA mice could induce behavioral deficits and if these deficits were sex specific. To modulate the microbial community, we supplemented MIA offspring with oral Clostridium celatum, a gut commensal bacterium found to be enriched in autistic children. We then compared behavioral phenotypes and the microbial structure of the mice that received the bacteria to those which did not.
Results: We found that exposure to Clostridium resulted in sex-specific social preference impairment, affecting only male MIA mice. 16S rRNA gene amplicon analysis of the duodenum and colon microbiota showed that the MIA model as well as C. celatum addition altered the gut microbiota in a sex-specific manner, and that specific taxa were associated with social behavior outcomes.
Conclusions: These data reveal that sex-specific disruptions of the gut microbiota may play a role in social behavior and the efficacy of the MIA model of ASD, and further support the important of female inclusion in autism and gut microbiota research.