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  • Open Access

    REVIEW

    Exercise and exerkine upregulation: Brain-derived neurotrophic factor as a potential non-pharmacological therapeutic strategy for Parkinson’s disease

    VIRAAJ VISHNU PRASAD, JENNIFER SALLY SAMSON, VENKATACHALAM DEEPA PARVATHI*

    BIOCELL, Vol.48, No.5, pp. 693-706, 2024, DOI:10.32604/biocell.2024.048776

    Abstract Physical activity and exercise have several beneficial roles in enhancing both physiological and psychological well-being of an individual. In addition to aiding the regulation of aerobic and anaerobic metabolism, exercise can stimulate the synthesis of exerkine hormones in the circulatory system. Among several exerkines that have been investigated for their therapeutic potential, Brain-derived neurotrophic factor (BDNF) is considered the most promising candidate, especially in the management of neurodegenerative diseases. Owing to the ability of physical activity to enhance BDNF synthesis, several experimental studies conducted so far have validated this hypothesis and produced satisfactory results at More > Graphic Abstract

    Exercise and exerkine upregulation: Brain-derived neurotrophic factor as a potential non-pharmacological therapeutic strategy for Parkinson’s disease

  • Open Access

    ARTICLE

    Recovery of Pure Water, Salicylic Acid Crystals, and Paracetamol using PVDF-MWCNT Membranes by Membrane Distillation-crystallization

    NIKHIL R. MENE1, SARITA KALLA1,*, Z.V.P. MURTHY1,*

    Journal of Polymer Materials, Vol.39, No.3-4, pp. 307-323, 2022, DOI:10.32381/JPM.2022.39.3-4.9

    Abstract Membrane distillation-crystallization (MDC) is presented as a novel technique in the treatment of waste concentrated water which produces valuable crystals along with pure water. In the present study, multi-walled carbon nanotubes (MWCNT)/polyvinylidene fluoride (PVDF) flat sheet membranes were prepared via the wet phase inversion method and applied in MDC for the treatment of pharmaceutical waste. The pure and modified membrane surface properties are characterized with the help of SEM, FTIR, and contact angle measurement. The present work reported the effect of MWCNT content and feed temperature on the MDCperformance and measured pure water flux and More >

  • Open Access

    ARTICLE

    Optimal Shape Factor and Fictitious Radius in the MQ-RBF: Solving Ill-Posed Laplacian Problems

    Chein-Shan Liu1, Chung-Lun Kuo1, Chih-Wen Chang2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3189-3208, 2024, DOI:10.32604/cmes.2023.046002

    Abstract To solve the Laplacian problems, we adopt a meshless method with the multiquadric radial basis function (MQ-RBF) as a basis whose center is distributed inside a circle with a fictitious radius. A maximal projection technique is developed to identify the optimal shape factor and fictitious radius by minimizing a merit function. A sample function is interpolated by the MQ-RBF to provide a trial coefficient vector to compute the merit function. We can quickly determine the optimal values of the parameters within a preferred rage using the golden section search algorithm. The novel method provides the More >

  • Open Access

    ARTICLE

    Application of Plant Growth-Promoting Bacteria as an Eco-Friendly Strategy for Mitigating the Harmful Effects of Abiotic Stress on Plants

    Ahmed Hassan Abdou1,*, Omar Abdullah Alkhateeb2, Hossam Eldin Hamed Mansour3, Hesham S. Ghazzawy4, Muayad Saud Albadrani5, Nadi Awad Al-harbi6, Wasimah B. Al-Shammari7, Khaled Abdelaal8,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3305-3321, 2023, DOI:10.32604/phyton.2023.044780

    Abstract Plant growth-promoting bacteria (PGPB) play an important role in improving agricultural production under several abiotic stress factors. PGPB can be used to increase crop growth and development through hormonal balance and increase nutrient uptake. The positive effect of PGPB may be due to its pivotal role in morphophysiological and biochemical characteristics like leaf number, leaf area, and stem length. Furthermore, relative water content, chlorophyll content, carotenoids, antioxidant enzymes, and plant hormones were improved with PGPB treatment. Crop yield and yield components were also increased with PGPB treatment in numerous crops. The anatomical structure of plant… More >

  • Open Access

    ARTICLE

    Performance Assessment of a Real PV System Connected to a Low-Voltage Grid

    Gaber Magdy1,2,*, Mostafa Metwally3, Adel A. Elbaset3,4, Esam Zaki5

    Energy Engineering, Vol.121, No.1, pp. 13-26, 2024, DOI:10.32604/ee.2023.043562

    Abstract The generation of photovoltaic (PV) solar energy is increasing continuously because it is renewable, unlimited, and clean energy. In the past, generation systems depended on non-renewable sources such as oil, coal, and gas. Therefore, this paper assesses the performance of a 51 kW PV solar power plant connected to a low-voltage grid to feed an administrative building in the 6th of October City, Egypt. The performance analysis of the considered grid-connected PV system is carried out using power system simulator for Engineering (PSS/E) software. Where the PSS/E program, monitors and uses the power analyzer that… More >

  • Open Access

    ARTICLE

    An Optimized System of Random Forest Model by Global Harmony Search with Generalized Opposition-Based Learning for Forecasting TBM Advance Rate

    Yingui Qiu1, Shuai Huang1, Danial Jahed Armaghani2, Biswajeet Pradhan3, Annan Zhou4, Jian Zhou1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2873-2897, 2024, DOI:10.32604/cmes.2023.029938

    Abstract As massive underground projects have become popular in dense urban cities, a problem has arisen: which model predicts the best for Tunnel Boring Machine (TBM) performance in these tunneling projects? However, performance level of TBMs in complex geological conditions is still a great challenge for practitioners and researchers. On the other hand, a reliable and accurate prediction of TBM performance is essential to planning an applicable tunnel construction schedule. The performance of TBM is very difficult to estimate due to various geotechnical and geological factors and machine specifications. The previously-proposed intelligent techniques in this field… More >

  • Open Access

    ARTICLE

    Leveraging Blockchain with Optimal Deep Learning-Based Drug Supply Chain Management for Pharmaceutical Industries

    Shanthi Perumalsamy, Venkatesh Kaliyamurthy*

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2341-2357, 2023, DOI:10.32604/cmc.2023.040269

    Abstract Due to its complexity and involvement of numerous stakeholders, the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients efficiently. The pharmaceutical supply chain poses different challenging issues, encompasses supply chain visibility, cold-chain shipping, drug counterfeiting, and rising prescription drug prices, which can considerably surge out-of-pocket patient costs. Blockchain (BC) offers the technical base for such a scheme, as it could track legitimate drugs and avoid fake circulation. The designers presented the procedure of BC with fabric for creating a secured drug supply-chain management (DSCM) method. With this… More >

  • Open Access

    REVIEW

    Pharmacological effects of denervated muscle atrophy due to metabolic imbalance in different periods

    JIAYING QIU1, YAN CHANG5, WENPENG LIANG1, MENGSI LIN1, HUI XU2, WANQING XU4, QINGWEN ZHU1, HAIBO ZHANG3,*, ZHENYU ZHANG1,*

    BIOCELL, Vol.47, No.11, pp. 2351-2359, 2023, DOI:10.32604/biocell.2023.031043

    Abstract Denervation-induced skeletal muscle atrophy can potentially cause the decline in the quality of life of patients and an increased risk of mortality. Complex pathophysiological mechanisms with dynamic alterations have been documented in skeletal muscle atrophy resulting from innervation loss. Hence, an in-depth comprehension of the key mechanisms and molecules governing skeletal muscle atrophy at varying stages, along with targeted treatment and protection, becomes essential for effective atrophy management. Our preliminary research categorizes the skeletal muscle atrophy process into four stages using microarray analysis. This review extensively discusses the pathways and molecules potentially implicated in regulating… More >

  • Open Access

    ARTICLE

    Fang-Xia-Dihuang decoction inhibits breast cancer progression induced by psychological stress via down-regulation of PI3K/AKT and JAK2/STAT3 pathways: An in vivo and a network pharmacology assessment

    LINGYAN LV1,2,#, JING ZHAO1,2,#, XUAN WANG1,2, LIUYAN XU1,2, YINGYI FAN2, CHUNHUI WANG3, HONGQIAO FAN4,5,*, XIAOHUA PEI5,*

    BIOCELL, Vol.47, No.9, pp. 1977-1994, 2023, DOI:10.32604/biocell.2023.030742

    Abstract Background: The development and prognosis of breast cancer are intricately linked to psychological stress. In addition, depression is the most common psychological comorbidity among breast cancer survivors, and reportedly, Fang-Xia-Dihuang decoction (FXDH) can effectively manage depression in such patients. However, its pharmacological and molecular mechanisms remain obscure. Methods: Public databases were used for obtaining active components and related targets. Main active components were further verified by ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS). Protein–protein interaction and enrichment analyses were taken to predict potential hub targets and related pathways. Molecule docking was used to understand the interactions… More >

  • Open Access

    ARTICLE

    Initial steps on the analysis of the underlying pharmacological mechanisms of Wendan decoction on sudden deafness using network pharmacology and molecular docking

    SHIMING YE1,2,#, YUFENG ZHANG3,#, TING LIU4, CONG WANG3, ZHENG YAN5, WANDONG SHE2,*, HAIBING HUA4,*

    BIOCELL, Vol.47, No.9, pp. 1947-1964, 2023, DOI:10.32604/biocell.2023.029333

    Abstract Background: Despite its widespread therapeutic use and effectiveness, the underlying pharmacologic mechanisms of Wendan decoction (WDD) and how it works to treat sudden deafness (SD) remain unclear. In this study, the pharmacological mechanisms of WDD underlying SD were analyzed using network pharmacology and molecular docking. Methods: The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was employed to identify the active compounds and target genes of WDD, and genes associated with SD were screened on five databases. RGUI conducted Gene Ontology (GO) functional and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A… More >

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