bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of Raw Mill Fan Vibrations Based on Machine Learning Models
Authors: ZAKI Smail , BENCHEKROUN MOHAMMED TOUM , ABOUSSALEH MOHAMMED , HEZZEM Brahim , LAACHA Hicham 
Published: June 2023

Abstract
In the cement manufacturing process, kiln process fans play a vital role. This article presents an extensive investigation into the prediction of Raw Mill Fan vibrations using machine learning models. The study evaluates multiple machine learning models, including k-nearest neighbors, linear regression, random forest, support vector machines (SVM), XGBoost, kernel ridge, support vector regression (SVR), recurrent neural networks (RNN), dense networks, and artificial neural networks (ANN). Performance evaluation metrics such as R2 and RMSE are employed to assess the accuracy of these models. The results demonstrate that both the Random Forest and XGBoost models exhibit remarkable predictive performance, with high R2 scores and low RMSE values. The conclusions drawn from these findings have important implications for the operation of the raw mill fan, as the adoption of predictive maintenance strategies can minimize downtime and enhance operational efficiency. Therefore, this study suggests that the incorporation of machine learning models into the monitoring and maintenance practices of kiln process fans has the potential to bring about a revolutionary improvement in the overall performance of the kiln process, yielding superior outcomes.
Experimental study of proppant based fracturing fluid flowing through regular Fracture geometry in different rock samples
Authors: Soomro Najeeb Anjum , Ansari Ubedullah , Memon Bilal Shams , Memon Muhammad Khan 
Published: June 2023

Abstract

The efficiency hydraulic fracturing procedure must be enhanced by introducing various types of proppants to extract maximum production from low permeability reservoirs. The problem with hydraulic fracturing procedure is the selection of appropriate proppant type for specific composition of reservoir rock. Therefore, this study provides an experimental investigation on flow behavior of proppant-based fracturing fluid through regular fracture geometries in different rock samples. The challenge for conducting such an investigation is to achieve detailed fracture response of fracture network while fracturing a rock at surface in laboratory. For this purpose, a specially designed assembly on laboratory scale was used to perform an experiment on fracturing. The assembly was designed to hold cylindrical core samples which are either outcropped from the original location or by forming limestone, sandstone molds. The results of this revealed that the permeabilities were altered from 2.3 to 3.3mD for limestone samples, 2.2 to 2.9mD for shale samples and 2.1 to 3.5mD for sandstone samples. Moreover, mechanical behavior was insightful for shale samples as their tensile strength ranged from 1080 to 130 psi with the average magnitudes of 700 to 720 psi. The bulk density of proppants was found to be 95.90 lbm/ft³ and the settling packed porosity of the proppants was calculated to be 0.420 with the specific gravity of 2.65. Further, the pattern of geometry observed in sandstone and shale formation was vertical linear while in limestone the shape of fracture was parabolic therefore such proppants are more fracture length yielding for sandstone and shale formations. The study concludes that limestone formation requires different configuration while fracturing through proppants and shale and limestone has similar fracture behavior while proppant based hydraulic fracturing. The outcomes of this study are very useful to design any fracture activity considering the fracture behavior of different formations to specific type of proppants.
Diversity-oriented synthesis of 1H-1,2,3-triazole tethered pyrazolo[5,1-b]quinazoline hybrids as antimicrobial agents and DFT study
Authors: Chudasama Dipakkumar D. , Patel Manan S. , Parekh Jaydeepkumar N. , Patel Harsh C , Rajput Chetan V. , Chikhaliya Navin p , Ram Kesur R 
Published: June 2023

Abstract
A straightforward and high yielding synthetic approach is employed to synthesize the novel 1H-1,2,3-triazole tethered pyrazolo[5,1-b]quinazoline hybrids 7(a-t) as new antimicrobial agents with two pharmacophore in the effective two step synthesis. The first step is the four component one-pot synthesis of highly functionalized pyrazolo[5,1-b]quinazolines 5(a-j) catalysed by TBAB, with the advantages of an environmentally benign reaction, high yielding, quick reaction time, and operational simplicity. In the subsequent stage, CuSO4/NaAsc system was employed to synthesize the 1H-1,2,3-triazole tethered pyrazolo[1,5-b]quinazoline hybrids as 1H-1,2,3-triazoles are the structures of great diversity and importance in diverse therapeutics containing numerous biological activities. The geometry optimizations have been studied to support the possible mechanism through density functional theory (DFT) calculations using B3LYP/6–31 + G (d,p) basis set. The antimicrobial activity of all the synthesized hybrid compounds have been preliminary tested using the broth dilution technique against two gram-positive and two gram-negative bacterial strains as well as two fungal strains. In comparison to standard drugs, the majority of compounds exhibited good to moderate activity. Among the all the compounds, 7a (MIC 12.5 µg/mL) against Pseudomonas aeruginosa, 7j (MIC 50 µg/mL) against Bacillus subtilis and Rhizopus oryzae and 7t (MIC 50 µg/mL) against Aspergillus parasiticus have remarkable antimicrobial potency as compared to standard drug.
The Influence of Various Grease Compositions and Silver Nanoparticle Additives on Electrically Induced Rolling-element Bearing Damage
Authors: Bond Samuel , Jackson Robert L. , Mills German 
Published: June 2023

Abstract
Electrified mechanical contacts and electrical connectors are an integral part of electric vehicles, and their reliable performance is essential. This has become increasingly important for electric vehicles where leakage current could potentially load the motor bearings and many other contacts in the drive system. Such leakage current has been shown to rapidly accelerate surface degradation via small scale arcing across lubricating films. Recent work suggests that metallic nanoparticle additives in lubricants may be useful to improve the performance of these contacts. Presented in this report are results from a study on Ag nanoparticle enhanced polyurea greases under electro-tribological loads. Greases with mineral and synthetic base oils with and without additives were also tested for comparison purposes. The results indicate a reduction in pitting from arcing in the presence of nanoparticles, although oils with other additives also appear to exhibit an enhanced performance.
Self-perception of dual career barriers and athletic identity in student-athletes with disabilities according to socio-demographic, sport and academic variables
Authors: Maciá-Andreu María José , Vaquero-Cristóbal Raquel , Meroño Lourdes , Abenza-Cano Lucía , García-Roca Juan Alfonso , Cánovas-Álvarez Francisco José , Díaz-Aroca Álvaro , Capranica Laura , Stanescu Mónica , Pereira Antonino , Doupona Mojca , Mendes Francisco , Figueiredo Abel , Isidori Emanuele , Sánchez-Pato Antonio , Leiva Alejandro 
Published: June 2023

Abstract
The objective of this study was to analyse the perceived barriers to dual career success and athletic identity of student-athletes according to sociodemographic, sport, and academic variables. The final sample consisted of 203 student-athletes with disabilities from five European countries. The questionnaires used were ESTPORT, EBBS and AIMS. It was found that: a) women showed higher levels of tiredness (p=0.028); b) student-athletes with cerebral palsy and deafness showed higher barriers (p=0.023-0.001); c) semi-professional and professional student-athletes showed higher barriers (p=0.040-0.034) and identity as athletes (p=0.043-0.000); d) student-athletes who were at the end of their sports career showed significantly higher barriers (p=0.010) and lower athlete identity (p=0.022-0.000); and e) student-athletes in pre-university and university degree studies showed higher barriers (p=0.030-0.001). In conclusion, the self-perception of barriers is quite relevant, with differences arising from socio-demographic characteristics, type of disability, stage of sports career and type of education attended.
Integrating rare genetic variants into DPYD pharmacogenetic testing may help preventing fluoropyrimidine-induced toxicity
Authors: Fellah Sandy , Hennart Benjamin , Sabaouni Naoual , Boukrout Nihad , Hauwaert Cynthia Van der , Delage Clément , Cheok Meyling , perrais michael , cauffiez christelle , allorge delphine , pottier nicolas , LARRUE Romain 
Published: June 2023

Abstract
Variability in genes involved in drug pharmacokinetics or drug response can be responsible for suboptimal treatment efficacy or predispose to adverse drug reactions. In addition to common genetic variations, large-scale sequencing studies have uncovered multiple rare genetic variants predicted to cause functional alterations in genes encoding proteins implicated in drug metabolism, transport, and response. To understand the functional importance of rare genetic variants in DPYD, a pharmacogene whose alterations can cause severe toxicity in patients exposed to fluoropyrimidine-based regimens, massively parallel sequencing of the exonic regions and flanking splice junctions of the DPYD gene was performed in a series of nearly 3 000 patients categorized according to pre-emptive DPD enzyme activity using the [UH2]/[U] plasma ratio as a surrogate marker of DPD activity. Our results underscore the importance of integrating next-generation sequencing-based pharmacogenomic interpretation into clinical decision making to minimize fluoropyrimidine-based chemotherapy toxicity without altering treatment efficacy.
Anticancer and apoptotic effects of orange peel extract and naringin on doxorubicin-induced apoptosis in human esophageal squamous carcinoma cell line
Authors: Tajodini Mahbube , Samadi Firooz , Asadi Jahanbakhsh , Khosravi Aoub , Samadi Faezeh 
Published: June 2023

Abstract
Orange peel contains bioactive compounds with high antioxidant properties that may exhibit pharmacological effects on cancer cells with low toxicity. This study sought to investigate the anticancer and apoptotic effects of orange peel extract (OPE) and its main flavonoid derivative, naringin (NR), on doxorubicin (Dox)-induced apoptosis in a human esophageal squamous carcinoma cell line (ESCC). The cytotoxicity and DNA fragmentation were evaluated using the methylthiazoletetrazolium (MTT) and fluorescent nuclear dye 4’,6-diamidino-2-phenylindole (DAPI) assays, respectively. The protein expression of Bax, Bcl-2, p21, p53, and caspases 8 and 9 were measured using ELISA. A dose-dependent decline was observed in the viability of YM-1 cells treated with OPE, NR, and Dox. The combination effects of Dox with OPE and NR indicated a protective effect against Dox-induced cytotoxicity. Similarly, apoptotic bodies decreased in the interaction between Dox with OPE and NR. Up-regulation of pro-apoptotic Bax gene was found in YM-1 cells subjected to treatments. Interaction between Dox+OPE and Dox+NR resulted in the down-regulation of Bax. Activation of the executioner 8 and 9 caspases was found in the YM-1 cell line exposed to Dox and its combination with OPE and NR. The overexpression of anti-tumor p21 and p53 genes were observed in the YM-1 cells subjected to the treatments. However, down-regulation of P21 and P53 anti-tumor genes were found by the interaction of Dox with OPE and NR. In conclusion, this study suggests that OPE and NR have a pro-apoptotic potential on ESCC through Bax-dependent pathways and are promising agents to attenuate the toxic effect of Dox on ESCC.
CST1 promotes the metastasis by mediating an oxidative phosphorylation/MEK/ERK axis in esophageal squamous carcinoma cancer
Authors: Zhang Liangming , Chen Xiongfeng , Wang Jianwei , Chen Meihong , Zhuang Wanzhen , Xia Yu , Huang Zhixin , Zheng Yue , Huang Yi 
Published: June 2023

Abstract
Cysteine Protease Inhibitor 1 (CST1), a cystatin superfamily protein with the effect on the inhibition of cysteine protease activity , is reported to be involved in the development of many malignancies. Mitochondrial oxidative phosphorylation (OXPHOS) also plays an important role on regulating cancer cell growth. However, the relationship and role of CST1 and OXPHOS on esophageal squamous cell carcinoma (ESCC) remains unknown. In our pilot study, CST1 was shown the potential of promoting ESCC migration and invasion by the activation of MEK/ERK pathway. Especially mentioned, we found that CST1 is closely associated with OXPHOS by the analysis of transcriptome sequencing. And then, based on real-time ATP rate assay, mitochondrial complex I enzyme activity assay, immunofluorescence (IF), co-immunoprecipitation (CO-IP), and additions of OXPHOS inhibitor Rotenone and MEK/ERK inhibitor PD98059, we defined the effect of CST1 on mitochondrial complex I enzyme activity by interacting with GRIM19 protein to elevate OXPHOS levels, and the reciprocal regulatory relationship existed between OXPHOS and MEK/ERK pathway in ESCC cells. Finally, a study in vivo well demonstrated the potential of CST1 on ESCC metastasis by the regulation of OXPHOS and MEK/ERK pathway. This study is the first to unveil the oncogenic role of CST1 on ESCC development by enhancing mitochondrial respiratory chain complex I activity to activate an OXPHOS/MEK/ERK axis, and then promote ESCC metastasis, suggesting that CST1/OXPHOS might be a promising target for ESCC treatment.
A Novel Algorithm to Spatio-Temporal Data Clustering on Indian Earthquake Dataset
Authors: Meshram Swati , Wagh Kishor P. 
Published: June 2023

Abstract
The seismic map of India displays the Himalayas, the North-East and the Andaman-Nicobar Islands are highly seismically active regions. The characteristics of the seismicity of Indian sub-continent needs to analyzed. This paper presents a novel algorithm to analyse data through partitioning by forming clusters. The clusters of spatial and spatio-temporal data are generated by distributing the data in spatial buckets or bins, finding the neighbouring buckets, and reducing the computation of distance. Moreover, centroid selection method focuses on randomly selecting centroids, based on the density of data in the spatial region. The advantage of the algorithm is, it is simpler in design and one parameter settings required. The result indicates that the approach is effective in detecting spatio-temporal patterns as clusters on the earthquake catalogue dataset. The experiments demonstrate the regions with higher occurrence of earthquake events, have more clusters formed depicting the earthquake prone areas. The clustering quality measured by Silhouette index is in the range of 0.88 to 0.93, which reflects good clusters are formed.
Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC BeadChip microarrays for dementia research
Authors: Zhang Wei , Young Juan I. , Gomez Lissette , Schmidt Michael A. , Lukacsovich David , Varma Achintya , Chen X. Steven , Kunkle Brian , Martin Eden R. , Wang Lily 
Published: June 2023

Abstract
Background
DNA methylation (DNAm) has been implicated in many diseases including dementia. Array-based technologies offer a cost-effective and comprehensive approach for measuring DNAm on a genome-wide scale. However, the accuracy of DNAm measurements obtained using Illumina arrays can vary across different probes. Previous research has focused primarily on assessing the reliability of DNAm in younger subjects, and have compared duplicate samples between the 450k-450k or 450k-EPIC platforms, with limited investigations on EPIC-EPIC comparisons.
Methods
We conducted a comprehensive assessment of probe reliability on the Illumina EPIC arrays using 138 duplicated blood DNAm samples from subjects older than 65 years in the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. To assess the reliability of each probe, we computed intraclass correlations (ICCs) for each probe. Both the magnitude and patterns of reliability in the EPIC-EPIC comparison were assessed. Furthermore, we also investigated the impact of probe reliability on the analyses of epigenome-wide association studies (EWAS).
Results
Our findings revealed the reliability of probes on the EPIC arrays is higher than those of previous studies involving duplicate measurements on 450k-EPIC or 450k-450k arrays. Consistent with earlier research, we observed increased reliability in probes with substantial between-subject variances or average methylation beta values ranging from 0.2 to 0.8. Lower reliability was observed in type I probes or probes located within the promoter and CpG island regions. In addition, we found some probes can yield high ICC values despite significant disagreement in duplicate measurements, primarily due to their relatively high between-subject variance. To account for such discrepancies explicitly, we introduced a novel statistical measure called the modified ICC, which penalizes the ICC based on the half-width of the 95% confidence limits of agreement. Importantly, we found probe reliability has significant implications in various downstream analyses of EWAS, such as meta-analysis, differentially methylated regions analysis, and integrative analyses within the cross-tissue or multi-omics contexts.
Conclusion
We developed a valuable resource for dementia research, providing crucial reliability information for probes on the EPIC array. This resource can be utilized to identify and prioritize high-quality probes, thereby minimizing the potential for false discoveries and maximizing the potential of EWAS.
Enhancing Cardiovascular Disease Prediction: A Domain Knowledge-Based Feature Selection and Stacked Ensemble Machine Learning Approach
Authors: Rustamov Zahiriddin , Rustamov Jaloliddin , Zaki Nazar , Turaev Sherzod , Sultana Most Sarmin , Tan Jeanne Ywei , Balakrishnan Vimala 
Published: June 2023

AbstractCardiovascular diseases (CVDs) are prevalent disorders affecting the heart or blood arteries. Early disease detection significantly enhances survival prospects, thus emphasizing the necessity for accurate prediction methods. Emerging technologies, such as machine learning (ML), present promising avenues for more precise prediction of CVDs. However, a critical challenge lies in developing models that not only ensure optimal predictive performance but also conform to well-established domain knowledge, thereby enhancing their credibility. Single classifiers often fall short due to issues like overfitting and bias. In response, this study proposes a domain knowledge-based feature selection integrated with a stacking ensemble classifier. The Framingham Heart Study, UCI Heart Disease and UAE retrospective cohort study datasets were utilized for training and evaluation of the ML algorithms. The results indicate that the proposed domain knowledge-based feature selection performs on par with frequently adopted feature selection techniques. Moreover, the proposed stacked ensemble, in conjunction with domain knowledge-based feature selection, achieved the highest metrics with 89.66% accuracy, and 89.16% F1-score on the Framingham dataset. Similarly, the proposed method achieved an F1-score of 85.26% and 96.23% on the UCI Heart Disease and UAE datasets. Furthermore, this study employs explainable AI techniques to illuminate the decision-making process of the predictive models. Thus, the study establishes that domain knowledge-based feature selection promotes the credibility of ML models without compromising predictive performance.
Pro198Leu polymorphism in the GPX1 gene has no influence on selenium biomarkers after Brazil nut consumption in rheumatoid arthritis patients
Authors: Callou Kátia Rau de Almeida , Duarte Graziela Biude Silva , Reis Bruna Zavarize , Hoff Leonardo Santos , Pollak Daniel Feldman , Cozzolino Silvia Maria Franciscato 
Published: June 2023

Abstract
Background: Chronic inflammation and increased oxidative stress in rheumatoid arthritis (RA) patients can affect selenium (Se) nutritional status and the consumption of food sources such as Brazil nuts, can improve this condition. However, the presence of genetic polymorphisms in selenoproteins could influence Se biomarkers and their bioavailability. This study aimed to evaluate the effect of Brazil nut consumption on Se biomarkers in RA patients and the influence of Pro198Leu polymorphism in the GPX1 gene.
Methods: This study was conducted with 45 RA patients who consumed one unit of Brazil nut per day (300 μg/Se) for eight weeks. Blood and 24-hour urine collection were analyzed before and after the intervention to assess Se biomarkers and to obtain DNA and RNA samples. Gene expression of GPX1 and Pro198Leu (rs1050450) genotyping was determined by real-time PCR using TaqMan Assays.
Results: RA patients were Se deficiency and Brazil nut intake was efficient to improve all nutritional biomarkers related to this mineral. According to the genotypes, after Brazil nut intervention period both CC and CT+TT had a significant (P<0.05) change in Se biomarkers, except the CT+TT carriers for GPx1 concentration (P=0.136). The analysis considering the intervention time and genotype factors did not show significant variation for all Se biomarkers.
Conclusion: The consumption of Brazil nuts for eight weeks was efficient to improve Se biomarkers in RA patients independent of the genotypes of Pro198Leu SNP in the GPX1 gene.
Simulations of Fluid Dynamics (CFD), radiation distribution and chemical reaction in the photoreactor
Authors: Fedailaine M. , Lahmar H , Benamira M , Trari M. 
Published: June 2023

Abstract
The fluid dynamic mechanics, Computational Fluid Dynamics (CFD), has become a valuable engineering tool for predicting the fluid flow, the quantity of movement transfer, the matter transfer as well as chemical reaction kinetics, by solving the numerical program using the Fluent software. In this study, CFD was used for the fluid dynamics analysis and simulation with a laminar flow regime on the chemical reactions, which excite the catalyst by a light source. The mineral pollutant (Ni2+) is reduced to elemental state in the photoreactor to different designs and models by photocatalysis leading to nickel in the form of a changeless cluster (Nio) and hydrogen in the form of gas (H2).