Publications by authors named "Meraz M"

In anticipation of the correlations between catalyst structures and their properties, the catalytic activities of 2-imino-1,10-phenanthrolyl iron and cobalt metal complexes are quantitatively investigated via linear machine learning (ML) algorithms. Comparatively, the Ridge Regression model has captured more robust predictive performance compared with other linear algorithms, with a correlation coefficient value of 0.952 and a cross-validation value of 0.

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Colorectal cancer (CRC) is one of the most prevalent fatal neoplasias worldwide. Despite efforts to improve the early diagnosis of CRC, the mortality rate of patients is still nearly 50%. The primary treatment strategy for CRC is surgery, which may be accompanied by chemotherapy and radiotherapy.

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This research aims to assess the rheological and mechanical characteristics of Self-compacting concrete (SCC) incorporating waste tire rubber aggregates (WRTA) as an interim substitute for coarse aggregates. However, the standard experimental modeling approach has significant obstacles when it comes to overcoming the nonlinearity and environmental susceptibility of concrete parts. Therefore, linear regression (LR) and extreme gradient boosting (XGBoost) were used as two standard single machine learning (ML) models to predict the aforementioned rubberized SCC features.

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The study aims to execute machine learning (ML) method for building an intelligent prediction system for catalytic activities of a relatively big dataset of 1056 transition metal complex precatalysts in ethylene polymerization. Among 14 different algorithms, the CatBoost ensemble model provides the best prediction with the correlation coefficient (R ) values of 0.999 for training set and 0.

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Rising natural resource consumption leads to increased hazardous gas emissions, necessitating the concrete industry's focus on sustainable alternatives like palm oil fuel ash (POFA) to replace cement. Also, advanced machine learning (ML) techniques can uncover previously unreported insights about the effects of POFA that may be missing from the literature. Hence, this study investigates the influence of varying concentrations of POFA on fresh and mechanical characteristics with quantifying ML approaches and microstructural performance, as well as the environmental impact of structural concrete.

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Article Synopsis
  • The study used fractal scaling analysis via detrended fluctuation analysis (DFA) to examine the genomic structure of SARS-CoV-2, comparing it to the SARS-CoV-1 strain, specifically focusing on long-range correlations in nucleotide sequences.
  • Different mapping rules (such as amino-keto and hydrophobicity patterns) revealed that the Wuhan Hu-1 sequence had a more random organization compared to SARS-CoV-1, indicating a potentially more efficient structure for replication and infection in SARS-CoV-2.
  • Early isolates from India and Italy exhibited increased order in their genomic sequences, particularly in the spike region, suggesting that certain variants may have developed improved mechanisms for spreading and infecting hosts
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The incorporation of waste materials generated in many industries has been actively advocated for in the construction industry, since they have the capacity to lessen the pollution on dumpsites, mitigate environmental resource consumption, and establish a sustainable environment. This research has been conducted to determine the influence of different rice husk ash (RHA) concentrations on the fresh and mechanical properties of high-strength concrete. RHA was employed to partially replace the cement at 5%, 10%, 15%, and 20% by weight.

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Given the great importance of cobalt catalysts supported by benchmark bis(imino)pyridine in the (oligo)polymerization, a series of dibenzopyran-incorporated symmetrical 2,6-bis(imino) pyridyl cobalt complexes (-) are designed and prepared using a one-pot template approach. The structures of the resulting complexes are well characterized by a number of techniques. After activation with either methylaluminoxane (MAO) or modified MAO (MMAO), the complexes - are highly active for ethylene polymerization with a maximum activity of up to 7.

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Monte Carlo dynamics were used to simulate the enzymatic starch digestion. Enzyme and starch molecules were distributed on a periodic grid and allowed to stochastically interact according to the kinetics scheme S + E → P + E. Digestion of gelatinized dispersions was simulated by assuming limited mobility of starch and complete mobility of enzymes and products.

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White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation.

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In experiments, nickel bromine complexes usually show a better catalytic performance in ethylene polymerization compared to their nickel chlorine analogues. Therefore, the present modeling study has been performed to investigate the effect of coordinated halogen atoms on the catalytic performances of two bisiminoacenaphthyl nickel systems, namely, Ni-Br and Ni-Cl. By using the multiple linear regression analysis (MLRA), the catalytic activity can be well predicted by the descriptors of effective net charge (Q ) and bite angle (β), with correlation coefficient R values over 0.

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Background: Maize tortilla staling is a major drawback that affects its commercialization and consumption, and so novel methods for retarding staling are continuously being explored. The present study evaluated the effect of adding a canola oil/candelilla wax oleogel (CWO; 0. 2, 4 and 6 g 100 g ) to a basic masa formulation (water, 60 g 100 g ; nixtamalized maize flour, 40 g 100 g ) on the texture, staling and in vitro starch digestibility of maize tortillas made using a hot plate (200 °C).

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This paper reports a novel route for the coloration of polyester fabric with green synthesized silver nanoparticles (G-AgNPs@PET) using chitosan as a natural eco-friendly reductant. The formation of AgNPs was confirmed by UV-visible spectroscopy. The morphologies and average particles size of G-AgNPs was investigated by transmission electron microscope (TEM) analysis.

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The inhibitory effect of glucose on the activity of α‑amylase used for starch hydrolysis was explored in this study. Four gelatinized corn starch dispersions (5 g/100 mL) containing different glucose concentrations (0.5, 1.

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Article Synopsis
  • A 34-year-old man experienced a near-fatal cardiac event and was admitted for further evaluation.
  • Initial tests, including an ECG and echocardiogram, returned normal results, raising initial concerns about his heart health.
  • However, advanced imaging techniques revealed significant artery obstruction caused by a thrombus, despite earlier findings of only mild coronary artery disease.
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Corn starch dispersions (5.0% w/w) were gelatinized by heating at 90°C for 20 min using gentle stirring. Under these conditions, ghosts, which are insoluble material with high amylopectin content, were detected by optical microscopy.

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A previously healthy young man presented with a 12-hour history of sudden dyspnea and severe chest pain at rest. Initial findings of physical examination, electrocardiogram and chest radiography showed typical pericarditis and clinical instability. Echocardiogram revealed small pericardial effusion with right ventricle dilatation.

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Aims: Cervical Cancer (CC) is one of the most important health problems in women. It frequently presents genetic changes at chromosome region 3q21. This region contains the Cellular Retinol Binding Protein 1 gene (CRBP1) which has been implicated as an important element in the development of other types of cancer.

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In sulfate-reducing reactors, it has been reported that the sulfate removal efficiency increases when the COD/SO4(2-) ratio is increased. The start-up of a down-flow fluidized bed reactor constitutes an important step to establish a microbial community in the biofilm able to survive under the operational bioreactor conditions in order to achieve effective removal of both sulfate and organic matter. In this work the influence of COD/SO4(2-) ratio and HRT in the development of a biofilm during reactor start-up (35 days) was studied.

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This study describes pentachlophenol (PCP) sorption in nylon fiber in which Rhizopus oryzae ENHE was immobilized to remove the chemical compound. The experimental sorption data were analyzed using the Langmuir, Freundlich, and Redlich-Peterson isotherm models using non-linear error functions to fit the experimental data to the three models. Results showed that the isotherm obtained from the data fitted the three models used.

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Different concentrations of the herbicide 2,4-dichlorophenoxyacetic acid (2,4D) and its possible intermediates such as 2,4-dichlorophenol (2,4DCP), 4-chlorophenol (4CP), 2-chlorophenol (2CP) and phenol, were assayed to evaluate the inhibitory effect on sulfate and ethanol utilization in a sulfate reducing biofilm. Increasing concentrations of the chlorophenolic compounds showed an adverse effect on sulfate reduction rate and ethanol conversion to acetate, being the intermediate 2,4DCP most toxic than the herbicide. The monochlorophenol 4CP (600 ppm) caused the complete cessation of sulfate reduction and ethanol conversion.

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Municipal wastewater was amended with organic garbage leachates at a concentration around 700 mgCOD(soluble)/L and fed to three different anaerobic systems to compare their performance: a down flow fluidized bed (DFFB), an expanded granular sludge bed (EGSB) and a zeolite-packed anaerobic filter reactor (ZPF). The DFFB and EGSB reactors were operated at HRT of 6 and 4 h and the ZPF reactor at 12 and 36 h. Organic loads rate for the DFFB reactor were 2.

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The aim of this study was to re-establish endocrine and reproductive function in tubal-ovariectomized rabbits using orthotopic tubal-ovary allotransplants (OT-OA). Fifty-five New Zealand White nonconsanguineous rabbits were used and allocated into five experimental groups: Each group comprised donors submitted to right salpingo-oophorectomy that served as the donated allograft. In group 1 no cyclosporin (CsA) was administered and rabbits were submitted to left salpingo-oophorectomy (LSO).

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The aim of this study was to define an experimental model in rabbits for subcutaneous heterotopic ovarian autotransplants and allotransplants in the inguinal region using a microvascular technique to restore endocrine function and ovulation. Forty sexually mature New Zealand white receptor rabbits and 20 donating Californian rabbits were divided into two experimental models: model A; autogenic model-control group 1 (n = 10), right ovariectomy; group II (n = 10), heterotopic ovarian autotransplant with peritoneal pouch plus left ovariectomy; model B: allogenic model-donator group III (n = 10), right ovariectomy with peritoneal tissue; receptor group (n = 10), ovarian heterotopic allotransplant with peritoneal pouch and bilateral ovariectomy, without immunosuppression; group IV donator (n = 10), receptor (n = 10) using the same procedure as in group III, administering cyclosporine 4 mg/kg/d intramuscularly and prednisone 1 mg/kg/d PO for 28 days. Ovarian function was assessed in the transplanted ovary after stimulation with human chorionic gonadotropin (100 IU).

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