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1.
JOR Spine ; 7(3): e1361, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-39071862

RESUMO

Introduction: The annulus fibrosus (AF) of the Intervertebral disc (IVD) is composed of concentric lamellae of helically wound collagen fibers. Understanding the spatial variation of collagen fiber orientations in these lamellae, and the resulting material anisotropy, is crucial to predicting the mechanical behavior of the complete IVD. Methods: This study builds on a prior model predicated on path-independent displacement of fiber endpoints during vertebral body growth to predict a complete, three-dimensional annulus fibrosus fiber network from a small number of subject-independent input parameters and vertebral endplate topographies obtained from clinical imaging. To evaluate the model, it was first fit to mid-plane fiber orientations obtained using polarized light microscopy in a population of bovine caudal discs for which computed tomography images vertebral endplates were also available. Additionally, the model was used to predict the trajectories based on human lumbar disc geometries and results were compared to previously reported data. Finally, the model was employed to investigate potential disc-related variations in fiber angle distributions. Results: The model was able to accurately predict experimentally measured fiber distributions in both bovine and human discs using only endplate topography and three input parameters. Critically, the model recapitulated previously observed asymmetry between the inclinations of right- and left-handed fibers in the posterolateral aspect of the human AF. Level to level variation of disc height and aspect ratio in the human lumbar spine was predicted to affect absolute values of fiber inclination, but not this asymmetry. Conclusion: Taken together these results suggest that patient-specific distributions of AF fiber orientation may be readily incorporated into computational models of the spine using only disc geometry and a small number of subject-independent parameters.

2.
Methods Mol Biol ; 2844: 33-44, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39068330

RESUMO

Promoters are the genomic regions upstream of genes that RNA polymerase binds in order to initiate gene transcription. Understanding the regulation of gene expression depends on being able to identify promoters, because they are the most important component of gene expression. Agrobacterium tumefaciens (A. tumefaciens) strain C58 was the subject of this study with the goal of creating a machine learning-based model to predict promoters. In this study, nucleotide density (ND), k-mer, and one-hot were used to encode the promoter sequence. Support vector machine (SVM) on fivefold cross-validation with incremental feature selection (IFS) was used to optimize the generated features. These improved characteristics were then used to distinguish promoter sequences by feeding them into the random forest (RF) classifier. Tenfold cross-validation (CV) analysis revealed that the projected model has the ability to produce an accuracy of 84.22%.


Assuntos
Agrobacterium tumefaciens , Inteligência Artificial , Regiões Promotoras Genéticas , Máquina de Vetores de Suporte , Agrobacterium tumefaciens/genética , Biologia Computacional/métodos , Algoritmos
3.
Environ Sci Pollut Res Int ; 31(33): 45465-45484, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38965111

RESUMO

Cadmium (Cd) poses serious threats to plant growth and development, whereas the use of plant growth-promoting rhizobacteria (PGPR) has emerged a promising approach to diminish Cd retention in crops. A pot experiment was conducted to evaluate the effect of Cd tolerant strain Acinetobacter sp. SG-5 on growth, phytohormonal response, and Cd uptake of two maize cultivars (3062 and 31P41) under various Cd stress levels (0, 5, 12, 18, 26, and 30 µM CdCl2). The results revealed that CdCl2 treatment significantly suppressed the seed germination and growth together with higher Cd retention in maize cultivars in a dose-dependent and cultivar-specific manner with pronounced negative effect in 31P41. However, SG-5 strain exerted positive impact by up-regulating seed germination traits, plant biomass, photosynthetic pigments, enzymatic and non-enzymatic antioxidants, endogenous hormone level indole-3-acetic acid (IAA), abscisic acid (ABA), and sustained optimal nutrient's levels in both cultivars but predominantly in Cd-sensitive one (31P41). Further, Cd-resistant PGPR decreased the formation of reactive oxygen species in terms of malondialdehyde (MDA) and hydrogen peroxide (H2O2) verified through 3, 3'-diaminobenzidine (DAB) and nitroblue tetrazolium (NBT) analysis in conjunction with reduced Cd uptake and translocation in maize root and shoots in comparison to controls, advocating its sufficiency for bacterial-assisted Cd bioremediation. In conclusion, both SG-5 inoculated cultivars exhibited maximum Cd tolerance but substantial Cd tolerance was acquired by Cd susceptible cultivar-31P41 than Cd-tolerant one (3062). Current work recommended SG-5 strain as a promising candidate for plant growth promotion and bacterial-assisted phytomanagement of metal-polluted agricultural soils.


Assuntos
Acinetobacter , Cádmio , Zea mays , Técnicas In Vitro , Antioxidantes , Reguladores de Crescimento de Plantas/biossíntese , Zea mays/metabolismo , Cádmio/metabolismo , Cádmio/toxicidade , Poluentes do Solo/metabolismo , Poluentes do Solo/toxicidade , Biodegradação Ambiental , Adaptação Fisiológica
4.
Chem Biodivers ; : e202400615, 2024 Jul 03.
Artigo em Inglês | MEDLINE | ID: mdl-38958197

RESUMO

Wound healing is a critical process in tissue repair following injury, and traditional herbal therapies have long been utilized to facilitate this process. This review delves into the mechanistic understanding of the significant contribution of pharmacologically demonstrated natural products in wound healing. Natural products, often perceived as complex yet safely consumed compared to synthetic chemicals, play a crucial role in enhancing the wound-healing process. Drawing upon a comprehensive search strategy utilizing databases such as PubMed, Scopus, Web of Science, and Google Scholar, this review synthesizes evidence on the role of natural products in wound healing. While the exact pharmacological mechanisms of secondary metabolites in wound healing remain to be fully elucidated, compounds from alkaloids, phenols, terpenes, and other sources are explored here to delineate their specific roles in wound repair. Each phytochemical group exerts distinct actions in tissue repair, with some displaying multifaceted roles in various pathways, potentially enhancing their therapeutic value, supported by reported safety profiles. Additionally, these compounds exhibit promise in the prevention of keloids and scars. Their potential alongside economic feasibility may propel them towards pharmaceutical product development. Several isolated compounds, from natural sources, are undergoing investigation in clinical trials, with many reaching advanced stages.

5.
Physiol Plant ; 176(4): e14416, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38952344

RESUMO

Under changing climatic conditions, plants are simultaneously facing conflicting stresses in nature. Plants can sense different stresses, induce systematic ROS signals, and regulate transcriptomic, hormonal, and stomatal responses. We performed transcriptome analysis to reveal the integrative stress response regulatory mechanism underlying heavy metal stress alone or in combination with heat and drought conditions in pitaya (dragon fruit). A total of 70 genes were identified from 31,130 transcripts with conserved differential expression. Furthermore, weighted gene co-expression network analysis (WGCNA) identified trait-associated modules. By integrating information from three modules and protein-protein interaction (PPI) networks, we identified 10 interconnected genes associated with the multifaceted defense mechanism employed by pitaya against co-occurring stresses. To further confirm the reliability of the results, we performed a comparative analysis of 350 genes identified by three trait modules and 70 conserved genes exhibiting their dynamic expression under all treatments. Differential expression pattern of genes and comparative analysis, have proven instrumental in identifying ten putative structural genes. These ten genes were annotated as PLAT/LH2, CAT, MLP, HSP, PB1, PLA, NAC, HMA, and CER1 transcription factors involved in antioxidant activity, defense response, MAPK signaling, detoxification of metals and regulating the crosstalk between the complex pathways. Predictive analysis of putative candidate genes, potentially governing single, double, and multifactorial stress response, by several signaling systems and molecular patterns. These findings represent a valuable resource for pitaya breeding programs, offering the potential to develop resilient "super pitaya" plants.


Assuntos
Frutas , Regulação da Expressão Gênica de Plantas , Redes Reguladoras de Genes , Regulação da Expressão Gênica de Plantas/efeitos dos fármacos , Redes Reguladoras de Genes/efeitos dos fármacos , Frutas/genética , Frutas/efeitos dos fármacos , Frutas/metabolismo , Vanádio/farmacologia , Estresse Fisiológico/genética , Caragana/genética , Caragana/fisiologia , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Mapas de Interação de Proteínas , Perfilação da Expressão Gênica , Secas , Transcriptoma/genética , Transcriptoma/efeitos dos fármacos , Cactaceae
6.
Med Mycol Case Rep ; 45: 100655, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-39005644

RESUMO

Blastomycosis is an endemic disease in North America and commonly manifests with pulmonary symptoms. Blastomycosis should be consider when patients have persistent infiltrates on imaging in an endemic area. We present a case of a 46-year-old male who presented to the pulmonary clinic with fever, cough with production of yellowish-green sputum and culture of BAL-fluid showed growth of Pseudomonas spp. Antimicrobial therapy was started accordingly, but was not effective. A repeat bronchoscopy was performed and BAL-fluid culture was positive for Blastomyces dermatitidis and liposomal amphotericin B was initiated. Unfortunately, the patient died after withdrawing care.

7.
World J Microbiol Biotechnol ; 40(9): 275, 2024 Jul 22.
Artigo em Inglês | MEDLINE | ID: mdl-39034336

RESUMO

Genetic studies in mushrooms, driven by innovations such as CRISPR-Cas9 genome editing and RNA interference, transform our understanding of these enigmatic fungi and their multifaceted roles in agriculture, medicine, and conservation. This comprehensive review explores the rationale and significance of genetic research in mushrooms, delving into the ethical, regulatory, and ecological dimensions of this field. CRISPR-Cas9 emerges as a game-changing technology, enabling precise genome editing, targeted gene knockouts, and pathway manipulation. RNA interference complements these efforts by downregulating genes for improved crop yield and enhanced pest and disease resistance. Genetic studies also contribute to the conservation of rare species and developing more robust mushroom strains, fostering sustainable cultivation practices. Moreover, they unlock the potential for discovering novel medicinal compounds, offering new horizons in pharmaceuticals and nutraceuticals. As emerging technologies and ethical considerations shape the future of mushroom research, these studies promise to revolutionize our relationship with these fungi, paving the way for a more sustainable and innovative world.


Assuntos
Agaricales , Sistemas CRISPR-Cas , Edição de Genes , Agaricales/genética , Edição de Genes/métodos , Interferência de RNA , Genoma Fúngico , Agricultura/métodos , Técnicas de Inativação de Genes
8.
PLoS One ; 19(6): e0304450, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38875251

RESUMO

The mango fruit plays a crucial role in providing essential nutrients to the human body and Pakistani mangoes are highly coveted worldwide. The escalating demand for agricultural products necessitates enhanced methods for monitoring and managing agricultural resources. Traditional field surveys are labour-intensive and time-consuming whereas remote sensing offers a comprehensive and efficient alternative. The field of remote sensing has witnessed substantial growth over time with satellite technology proving instrumental in monitoring crops on a large scale throughout their growth stages. In this study, we utilize novel data collected from a mango farm employing Landsat-8 satellite imagery and machine learning to detect mango orchards. We collected a total of 2,150 mango tree samples from a farm over six months in the province of Punjab, Pakistan. Then, we analyzed each sample using seven multispectral bands. The Landsat-8 framework provides high-resolution land surface imagery for detecting mango orchards. This research relies on independent data, offering an advantage for training more advanced machine learning models and yielding reliable findings with high accuracy. Our proposed optimized CART approach outperformed existing methods, achieving a remarkable 99% accuracy score while the k-Fold validation score also reached 99%. This research paves the way for advancements in agricultural remote sensing, offering potential benefits for crop management yield estimation and the broader field of precision agriculture.


Assuntos
Inteligência Artificial , Mangifera , Imagens de Satélites , Imagens de Satélites/métodos , Aprendizado de Máquina , Paquistão , Tecnologia de Sensoriamento Remoto/métodos , Agricultura/métodos , Frutas/crescimento & desenvolvimento , Humanos , Produtos Agrícolas/crescimento & desenvolvimento
9.
Data Brief ; 54: 110539, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38882192

RESUMO

The study presents a segmented dataset comprising dental periapical X-ray images from both healthy and diseased patients. The ability to differentiate between normal and abnormal dental periapical X-rays is pivotal for accurate diagnosis of dental pathology. These X-rays contain crucial information, offering in- sights into the physiological and pathological conditions of teeth and surrounding structures. The dataset outlined in this article encompasses dental periapical X-ray images obtained during routine examinations and treatment procedures of patients at the oral and dental health department of a local government hos- pital in North Jordan. Comprising a total of 929 high-quality X-ray images, the dataset includes subjects of varying ages with a spectrum of dental and pulpal diseases, bone loss, periapical diseases, and other abnormalities. Employing an advanced image segmentation approach, the collected dataset is categorized into healthy and diseased dental patients. This labelled dataset serves as a foundation for the development of an automated system capable of detecting dental pathologies, including caries and pulpal diseases, and distinguishing between normal and abnormal cases. Notably, recent advancements in deep learning artificial intelligence have significantly contributed to the creation of advanced dental models for diverse applications. This technology has demonstrated remarkable accuracy in the development of diagnostic and detection tools for various dental problems.

10.
PeerJ Comput Sci ; 10: e2008, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38855235

RESUMO

Brain tumors present a significant medical challenge, demanding accurate and timely diagnosis for effective treatment planning. These tumors disrupt normal brain functions in various ways, giving rise to a broad spectrum of physical, cognitive, and emotional challenges. The daily increase in mortality rates attributed to brain tumors underscores the urgency of this issue. In recent years, advanced medical imaging techniques, particularly magnetic resonance imaging (MRI), have emerged as indispensable tools for diagnosing brain tumors. Brain MRI scans provide high-resolution, non-invasive visualization of brain structures, facilitating the precise detection of abnormalities such as tumors. This study aims to propose an effective neural network approach for the timely diagnosis of brain tumors. Our experiments utilized a multi-class MRI image dataset comprising 21,672 images related to glioma tumors, meningioma tumors, and pituitary tumors. We introduced a novel neural network-based feature engineering approach, combining 2D convolutional neural network (2DCNN) and VGG16. The resulting 2DCNN-VGG16 network (CVG-Net) extracted spatial features from MRI images using 2DCNN and VGG16 without human intervention. The newly created hybrid feature set is then input into machine learning models to diagnose brain tumors. We have balanced the multi-class MRI image features data using the Synthetic Minority Over-sampling Technique (SMOTE) approach. Extensive research experiments demonstrate that utilizing the proposed CVG-Net, the k-neighbors classifier outperformed state-of-the-art studies with a k-fold accuracy performance score of 0.96. We also applied hyperparameter tuning to enhance performance for multi-class brain tumor diagnosis. Our novel proposed approach has the potential to revolutionize early brain tumor diagnosis, providing medical professionals with a cost-effective and timely diagnostic mechanism.

11.
Plant Commun ; : 101007, 2024 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-38909281
12.
Mol Cell Biochem ; 2024 Jun 03.
Artigo em Inglês | MEDLINE | ID: mdl-38829482

RESUMO

Lung carcinoma is the major contributor to global cancer incidence and one of the leading causes of cancer-related mortality worldwide. Irregularities in signal transduction events, genetic alterations, and mutated regulatory genes trigger cancer development and progression. Selective targeting of molecular modulators has substantially revolutionized cancer treatment strategies with improvised efficacy. The aurora kinase B (AURKB) is a critical component of the chromosomal passenger complex and is primarily involved in lung cancer pathogenesis. Since AURKB is an important therapeutic target, the design and development of its potential inhibitors are attractive strategies. In this study, noscapine was selected and validated as a possible inhibitor of AURKB using integrated computational, spectroscopic, and cell-based assays. Molecular docking analysis showed noscapine occupies the substrate-binding pocket of AURKB with strong binding affinity. Subsequently, MD simulation studies confirmed the formation of a stable AURKB-noscapine complex with non-significant alteration in various trajectories, including RMSD, RMSF, Rg, and SASA. These findings were further experimentally validated through fluorescence binding studies. In addition, dose-dependent noscapine treatment significantly attenuated recombinant AURKB activity with an IC50 value of 26.6 µM. Cell viability studies conducted on A549 cells and HEK293 cells revealed significant cytotoxic features of noscapine on A549 cells. Furthermore, Annexin-PI staining validated that noscapine triggered apoptosis in lung cancer cells, possibly via an intrinsic pathway. Our findings indicate that noscapine-based AURKB inhibition can be implicated as a potential therapeutic strategy in lung cancer treatment and can also provide a novel scaffold for developing next-generation AURKB-specific inhibitors.

13.
Prep Biochem Biotechnol ; : 1-13, 2024 Jun 02.
Artigo em Inglês | MEDLINE | ID: mdl-38824503

RESUMO

Interleukin-2 has emerged as a potent protein-based drug to treat various cancers, AIDS, and autoimmune diseases. Despite its immense requirement, the production procedures are inefficient to meet the demand. Therefore, efficient production procedures must be adopted to improve protein yield and decrease procedural loss. This study analyzed cytoplasmic and periplasmic IL-2 expression for increased protein yield and significant biological activity. The study is focused on cloning IL-2 into a pET-SUMO and pET-28a vector that expresses IL-2 in soluble form and inclusion bodies, respectively. Both constructs were expressed into different E. coli expression strains, but the periplasmic and cytoplasmic expression of IL-2 was highest in overnight culture in Rosetta 2 (DE3). Therefore, E. coli Rosetta 2 (DE3) was selected for large-scale production and purification. Purified IL-2 was characterized by SDS-PAGE and western blotting, while its biological activity was determined using MTT bioassay. The results depict that the periplasmic and cytoplasmic IL-2 achieved adequate purification, yielding 0.86 and 0.51 mg/mL, respectively, with significant cytotoxic activity of periplasmic and cytoplasmic IL-2. Periplasmic IL-2 has shown better yield and significant biological activity in vitro which describes its attainment of native protein structure and function.

14.
Sci Rep ; 14(1): 11705, 2024 05 22.
Artigo em Inglês | MEDLINE | ID: mdl-38778064

RESUMO

A serious environmental problem that threatens soil quality, agricultural productivity, and food safety is heavy metal pollution in water sources. Heavy metal pollution is the main problem in tehsil Pasrur, Sialkot, Pakistan. Present study was arranged to notice the heavy metals in water, soil, forages and buffalo milk. There are seven sites that were used for this experiment. Highest malondialdehyde (MDA) contents (3.00 ± 0.01) were noticed in barseem roots at site 7. Ascorbate Peroxidase (APX) was reached at its peak (1.93 ± 0.01) at site 7 in the fresh barseem. Maximum protein contents (0.36 ± 0.01) were observed in fresh plant samples at site 2. Site 3's buffalo milk samples had the highest Ni content (7.22 ± 0.33 ppm), while Site 3's soil samples had the lowest Cr content (8.89 ± 0.56 ppm), Site 1's plant shoots had the lowest Cr content (27.75 ± 1.98 ppm), and Site 3's water had the highest Cr content (40.07 ± 0.49 ppm). The maximum fat content (5.38 ± 2.32%) was found in the milk of the animals at site 7. The highest density (31.88 ± 6.501%), protein content (3.64 ± 0.33%), lactose content (5.54 ± 0.320%), salt content (0.66 ± 0.1673%), and freezing point (- 0.5814 ± 0.1827 °C) were also observed in the milk from animals at site 7, whereas site 5 displayed the highest water content (0.66 ± 0.1673%) and peak pH value (11.64 ± 0.09). In selected samples, the pollution load index for Ni (which ranged from 0.01 to 1.03 mg/kg) was greater than 1. Site 7 has the highest conductivity value (5.48 ± 0.48). Values for the health risk index varied from 0.000151 to 1.00010 mg/kg, suggesting that eating tainted animal feed may pose health concerns. Significant health concerns arise from metal deposition in the food chain from soil to feed, with nickel having the highest health risk index.


Assuntos
Metais Pesados , Leite , Poluentes do Solo , Solo , Animais , Metais Pesados/análise , Poluentes do Solo/análise , Leite/química , Leite/metabolismo , Paquistão , Solo/química , Poluentes Químicos da Água/análise , Ração Animal/análise , Búfalos , Monitoramento Ambiental/métodos , Malondialdeído/metabolismo , Malondialdeído/análise
15.
Cureus ; 16(4): e58695, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38774180

RESUMO

Cushing's syndrome (CS) arises from an excess of endogenous or exogenous cortisol, with Cushing's disease specifically implicating a pituitary adenoma and exaggerated adrenocorticotropic hormone (ACTH) production. Typically, Cushing's disease presents with characteristic symptoms such as weight gain, central obesity, moon face, and buffalo hump. This case report presents an unusual manifestation of CS in a 48-year-old male with a history of hypertension, where severe hypokalemia was the primary presentation. Initial complaints included bilateral leg swelling, muscle weakness, occasional shortness of breath, and a general feeling of not feeling well. Subsequent investigations revealed hypokalemia, metabolic alkalosis, and an abnormal response to dexamethasone suppression, raising concerns about hypercortisolism. Further tests, including 24-hour urinary free cortisol and ACTH testing, confirmed significant elevations. Brain magnetic resonance imaging (MRI) identified a pituitary macroadenoma, necessitating neurosurgical intervention. This case underscores the rarity of CS presenting with severe hypokalemia, highlighting the diagnostic challenges and the crucial role of a collaborative approach in managing such intricate cases.

16.
Cureus ; 16(4): e57402, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38694657

RESUMO

Chronic pancreatitis (CP), an inflammatory disease characterized by irreversible pancreatic changes and progressive fibrosis, significantly impairs patients' quality of life. This systematic review aims to assess the efficacy of antioxidant therapy in enhancing the quality of life of CP patients. Focusing on the role of oxidative stress in CP pathogenesis, we explored several databases for studies evaluating the impact of antioxidant supplementation. The review included randomized controlled trials and cohort studies reporting pain frequency, intensity, and overall quality of life measures. Findings from these studies present a mixed view of the efficacy of antioxidants in CP, with some suggesting benefits in symptom management, while others show inconsistency in improving patient outcomes. The review concludes that while antioxidant therapy holds potential, especially in symptom alleviation, there is a need for more rigorous, larger-scale studies to confirm its effectiveness in CP management and to establish standardized treatment protocols. The incorporation of antioxidants into CP treatment plans should be approached with personalized care, considering the varied responses observed in different patient populations.

17.
Artigo em Inglês | MEDLINE | ID: mdl-38717735

RESUMO

Limosilactobacillus fermentum is an important member of the lactic acid bacteria group and holds immense potential for probiotic properties in human health and relevant industries. In this study, a comparative probiogenomic approach was applied to analyze the genome sequence of L. fermentum 3872, which was extracted from a commercially available yogurt sample, along with 20 different publicly available strains. Results indicate that the genome size of the characterized L. fermentum 3892 strain is 2,057,839 bp, with a single- and circular-type chromosome possessing a G + C content of 51.69%. The genome of L. fermentum 3892 strain comprises a total of 2120 open reading frames (ORFs), two genes encoding rRNAs, and 53 genes encoding tRNAs. Upon comparative probiogenomic analysis, two plasmid sequences were detected among the study strains, including one for the L. fermentum 3872 genome, which was found between position 1,288,203 and 1,289,237 with an identity of 80.98. The whole-genome alignment revealed 2223 identical sites and a pairwise identity of 98.9%, indicating a significant difference of 1.1% among genome strains. Comparison of amino acid encoding genes among strains included in this study suggests that the strain 3872 exhibited the highest degree of amino acids present, including glutamine, glutamate, aspartate, asparagine, lysine, threonine, methionine, and cysteine. The comparative antibiotic resistome profiling revealed that strain 3872 exhibited a high resistant capacity only to ciprofloxacin antibiotics as compared to other strains. This study provides a genomic-based evaluation approach for comparative probiotic strain analysis in commercial foods and their significance to human health.

18.
Sci Rep ; 14(1): 10180, 2024 05 03.
Artigo em Inglês | MEDLINE | ID: mdl-38702384

RESUMO

In this manuscript, a mathematical model known as the Heimburg model is investigated analytically to get the soliton solutions. Both biomembranes and nerves can be studied using this model. The cell membrane's lipid bilayer is regarded by the model as a substance that experiences phase transitions. It implies that the membrane responds to electrical disruptions in a nonlinear way. The importance of ionic conductance in nerve impulse propagation is shown by Heimburg's model. The dynamics of the electromechanical pulse in a nerve are analytically investigated using the Hirota Bilinear method. The various types of solitons are investigates, such as homoclinic breather waves, interaction via double exponents, lump waves, multi-wave, mixed type solutions, and periodic cross kink solutions. The electromechanical pulse's ensuing three-dimensional and contour shapes offer crucial insight into how nerves function and may one day be used in medicine and the biological sciences. Our grasp of soliton dynamics is improved by this research, which also opens up new directions for biomedical investigation and medical developments. A few 3D and contour profiles have also been created for new solutions, and interaction behaviors have also been shown.


Assuntos
Membrana Celular , Membrana Celular/fisiologia , Bicamadas Lipídicas/química , Bicamadas Lipídicas/metabolismo , Humanos , Modelos Neurológicos , Modelos Biológicos , Modelos Teóricos
19.
Chemosphere ; 359: 142224, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38723693

RESUMO

Environmental remediation has sought several innovative ways for the treatment of wastewater and captivated researchers around the globe towards it. Through this study, we aim to proceed with the efforts to foster sustainable and feasible ways for the treatment of wastewater. In this work, we report the sol-gel synthesis of CuO/MgO/ZnO nanocomposite and carry out their systematic characterization with the help of state-of-the-art analytical techniques, such as FTIR, SEM, TEM, PL, XRD, Raman, and AFM. The SEM along with TEM and AFM provided useful insights into the surface morphology of the synthesized nanocomposite on both 2D and 3D surfaces and concluded the well-dispersed behavior of the nanocomposite. The characteristic functional groups responsible for carrying out the reaction of Cu-O, Mg-O, and Zn-O were identified by FTIR spectroscopy. On the other hand, crystal size, dislocation density, and microstrain of the nanocomposite were calculated by XRD. For optical studies, photoluminescence spectroscopy was performed. Once the characterization of the nanocomposite was done, they were eventually treated against the toxic organic dye, methylene blue. The calculated rate constant values of k for CuO was 2.48 × 10-3 min-1, for CuO/MgO (2.04 × 10-3 min-1), for CuO/ZnO (1.82 × 10-3 min-1) and CuO/MgO/ZnO was found to be 2.00 × 10-3 min-1. It has become increasingly evident that nanotechnology can be used in various facets of modern life, and its implementation in wastewater treatment has recently received much attention.


Assuntos
Cobre , Recuperação e Remediação Ambiental , Óxido de Magnésio , Nanocompostos , Óxido de Zinco , Nanocompostos/química , Óxido de Zinco/química , Cobre/química , Recuperação e Remediação Ambiental/métodos , Catálise , Óxido de Magnésio/química , Luz , Águas Residuárias/química , Poluentes Químicos da Água/química , Azul de Metileno/química
20.
J Med Syst ; 48(1): 53, 2024 May 22.
Artigo em Inglês | MEDLINE | ID: mdl-38775899

RESUMO

Myocardial Infarction (MI) commonly referred to as a heart attack, results from the abrupt obstruction of blood supply to a section of the heart muscle, leading to the deterioration or death of the affected tissue due to a lack of oxygen. MI, poses a significant public health concern worldwide, particularly affecting the citizens of the Chittagong Metropolitan Area. The challenges lie in both prevention and treatment, as the emergence of MI has inflicted considerable suffering among residents. Early warning systems are crucial for managing epidemics promptly, especially given the escalating disease burden in older populations and the complexities of assessing present and future demands. The primary objective of this study is to forecast MI incidence early using a deep learning model, predicting the prevalence of heart attacks in patients. Our approach involves a novel dataset collected from daily heart attack incidence Time Series Patient Data spanning January 1, 2020, to December 31, 2021, in the Chittagong Metropolitan Area. Initially, we applied various advanced models, including Autoregressive Integrated Moving Average (ARIMA), Error-Trend-Seasonal (ETS), Trigonometric seasonality, Box-Cox transformation, ARMA errors, Trend and Seasonal (TBATS), and Long Short Time Memory (LSTM). To enhance prediction accuracy, we propose a novel Myocardial Sequence Classification (MSC)-LSTM method tailored to forecast heart attack occurrences in patients using the newly collected data from the Chittagong Metropolitan Area. Comprehensive results comparisons reveal that the novel MSC-LSTM model outperforms other applied models in terms of performance, achieving a minimum Mean Percentage Error (MPE) score of 1.6477. This research aids in predicting the likely future course of heart attack occurrences, facilitating the development of thorough plans for future preventive measures. The forecasting of MI occurrences contributes to effective resource allocation, capacity planning, policy creation, budgeting, public awareness, research identification, quality improvement, and disaster preparedness.


Assuntos
Aprendizado Profundo , Previsões , Infarto do Miocárdio , Humanos , Infarto do Miocárdio/epidemiologia , Infarto do Miocárdio/diagnóstico , Previsões/métodos , Incidência , Estações do Ano
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