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  • Open Access

    REVIEW

    Pioneering a new era in Parkinson’s disease management through adipose-derived mesenchymal stem cell therapy

    MOHAMMAD-SADEGH LOTFI, FATEMEH B. RASSOULI*

    BIOCELL, Vol.48, No.10, pp. 1419-1428, 2024, DOI:10.32604/biocell.2024.053597 - 02 October 2024

    Abstract Parkinson’s disease (PD) is one of the fastest-growing neurodegenerative disorders worldwide. So far, PD treatments only offer little clinical relief and cannot reverse or stop the disease progression. Stem cell (SC) therapy is a rapidly evolving technology that holds significant promise for enhancing current therapeutic approaches. Adipose-derived mesenchymal SCs (AD-MSCs) have many features such as easy harvest with minimal invasive techniques, high plasticity, non-immunogenicity, and no ethical issues, which have made them suitable choices for clinical applications in regenerative research. AD-MSCs are ideal tools to treat PD, as they have the potential to differentiate into… More >

  • Open Access

    ARTICLE

    Cartographie Automatique et Comptage des Arbres Oliviers A Partir de L’Imagerie de Drone par Un Reseau de Neurones Covolutionnel

    Oumaima Ameslek1,*, Hafida Zahir2, Soukaina Mitro2, El Mostafa Bachaoui1

    Revue Internationale de Géomatique, Vol.33, pp. 321-340, 2024, DOI:10.32604/rig.2024.054838 - 03 September 2024

    Abstract L’agriculture de précision (AP) est une stratégie de gestion agricole fondée sur l’observation, la mesure et la réponse à la variabilité des cultures inter/intra-champ. Il comprend des avancées en matière de collecte, d’analyse et de gestion des données, ainsi que des développements technologiques en matière de stockage et de récupération de données, de positionnement précis, de surveillance des rendements et de télédétection. Cette dernière offre une résolution spatiale, spectrale et temporelle sans précédent, mais peut également fournir des informations détaillées sur la hauteur de la végétation et diverses observations. Aujourd’hui, le succès des nouvelles technologies… More >

  • Open Access

    ARTICLE

    The Lightweight Edge-Side Fault Diagnosis Approach Based on Spiking Neural Network

    Jingting Mei, Yang Yang*, Zhipeng Gao, Lanlan Rui, Yijing Lin

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4883-4904, 2024, DOI:10.32604/cmc.2024.051860 - 20 June 2024

    Abstract Network fault diagnosis methods play a vital role in maintaining network service quality and enhancing user experience as an integral component of intelligent network management. Considering the unique characteristics of edge networks, such as limited resources, complex network faults, and the need for high real-time performance, enhancing and optimizing existing network fault diagnosis methods is necessary. Therefore, this paper proposes the lightweight edge-side fault diagnosis approach based on a spiking neural network (LSNN). Firstly, we use the Izhikevich neurons model to replace the Leaky Integrate and Fire (LIF) neurons model in the LSNN model. Izhikevich… More >

  • 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 - 06 May 2024

    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

    Cervical Cancer Prediction Empowered with Federated Machine Learning

    Muhammad Umar Nasir1, Omar Kassem Khalil2, Karamath Ateeq3, Bassam SaleemAllah Almogadwy4, M. A. Khan5, Khan Muhammad Adnan6,*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 963-981, 2024, DOI:10.32604/cmc.2024.047874 - 25 April 2024

    Abstract Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in the fourth position because of the leading death cause in its premature stages. The cervix which is the lower end of the vagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumor in the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approach uses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer to train… More >

  • Open Access

    ARTICLE

    CircR-ZC3HC1 mediates MiR-384-5p/SIRT1 axis to promote neuronal autophagy and relieves ischemic stroke

    MIN SHEN1,2, XIAOMAN XU1,2, GUANGLING SUN1, LIANGZHU WANG1, TAO YING1, HANG SU1, WEI WANG1, QINGHUA CAO1,*, ZHEZHE SUN1,*

    BIOCELL, Vol.48, No.3, pp. 491-499, 2024, DOI:10.32604/biocell.2023.047640 - 15 March 2024

    Abstract Objective: Circular RNAs (circRNAs) have been shown to involve in pathological processes of ischemic stroke (IS), including autophagy. This study was designed to explore the effect of circR-ZC3HC1 on neuronal autophagy in IS and the related mechanisms. Methods: Expression of circR-ZC3HC1 in blood samples of IS patients and healthy controls was detected. Hippocampal neurons were treated with oxygen and glucose deprivation (OGD) to establish IS in vitro model. The expression of LC3 and p62 and the number of autophagosomes were examined to evaluate the autophagy level of OGD induced neurons using western blotting and transmission electron… More >

  • Open Access

    ARTICLE

    Ginsenoside Rg1 protects against ischemia-induced neuron damage by regulating the rno-miRNA-27a-3p/PPARγ axis

    YUE GUAN1,#, TINGTING ZHANG2,#, JIANAN YU3, JIAWEI LIU4, WENYUAN LI5, YUJIA ZHENG6, JIALE WANG3, YUE LIU3, FENGGUO ZHAI2,7,*

    BIOCELL, Vol.47, No.7, pp. 1583-1594, 2023, DOI:10.32604/biocell.2023.028016 - 21 June 2023

    Abstract Background: A preliminary miRNA screening showed that expression levels of rno-miRNA-27a-3p were significantly increased in the serum and brain tissues of rats undergoing cerebral ischemia. In recent years, there is evidence of the protective capacity of the saponins extracted from panax ginseng and its primary active ingredient ginsenosideRg1oncerebral ischemic injury. Methods: Fetal rat neurons (FRNs) were cultured in glucose-and-serum-free medium and exposed to hypoxia to establish a cerebral ischemia model in vitro (oxygen and glucose deprivation model, OGD). Antioxidant indexes (CAT, SOD), inflammatory markers (MPO, TNF-α and IL-6), and the expression of apoptosis and proliferation associated… More >

  • Open Access

    ARTICLE

    The Neurosurgical Challenge of Primary Central Nervous System Lymphoma Diagnosis: A Multimodal Intraoperative Imaging Approach to Overcome Frameless Neuronavigated Biopsy Sampling Errors

    Roberto Altieri1,2,*, Francesco Certo1, Marco Garozzo1, Giacomo Cammarata1, Massimiliano Maione1, Giuseppa Fiumanò3, Giuseppe Broggi4, Giada Maria Vecchio4, Rosario Caltabiano4, Gaetano Magro4, Giuseppe Barbagallo1

    Oncologie, Vol.24, No.4, pp. 693-706, 2022, DOI:10.32604/oncologie.2022.025393 - 31 December 2022

    Abstract Background: Intracranial lymphoma remains a challenging differential diagnosis in daily neurosurgical practice. We analyzed our early experience with a surgical series of frameless neuronavigated biopsies in Primary CNS Lymphomas (PCNSLs), highlighting the importance of using an intraoperative combined imaging protocol (5-ALA fluorescence, i-CT and 11C-MET-PET) to overcome potential targeting errors secondary to tumor volume reduction after corticosteroid therapy. Materials and Methods: All patients treated for PCNLSs at our center in a 24-month period (1/1/2019 to 31/12/2020) were analyzed. Our cohort included 6 patients (4 males), with a median age of 67 years (59–82). A total of 45 samples… More >

  • Open Access

    VIEWPOINT

    Poly(ADP-ribose), adherens junctions, vinculin and the actin cytoskeleton: Current evidence, future perspectives and implications

    LAURA LAFON-HUGHES1,2,*

    BIOCELL, Vol.46, No.12, pp. 2531-2535, 2022, DOI:10.32604/biocell.2022.022713 - 10 August 2022

    Abstract Poly(ADP-ribose) (PAR) is a highly negatively charged polymer. PAR is synthesized by poly(ADP-ribose)polymerases (PARPs) and is involved in the assembly and stabilization of macromolecular complexes. Here, the presence and putative roles of poly(ADP-ribosyl)ation (PARylation) associated to adherens junctions (AJ) and the actin cytoskeleton in epithelial and Schwann cells, is reviewed. The hypothesis generated by analogy, stating that PAR is associated to AJ in other cell types, is postulated. According to this hypothesis, PAR associated to puncta adherentia in chemical synapses would participate in plasticity, learning and memory. In turn, PAR associated to fascia adherens in cardiomyocytes, would affect More >

  • Open Access

    ARTICLE

    Swarm Optimization and Machine Learning for Android Malware Detection

    K. Santosh Jhansi1,2,*, P. Ravi Kiran Varma2, Sujata Chakravarty3

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6327-6345, 2022, DOI:10.32604/cmc.2022.030878 - 28 July 2022

    Abstract Malware Security Intelligence constitutes the analysis of applications and their associated metadata for possible security threats. Application Programming Interfaces (API) calls contain valuable information that can help with malware identification. The malware analysis with reduced feature space helps for the efficient identification of malware. The goal of this research is to find the most informative features of API calls to improve the android malware detection accuracy. Three swarm optimization methods, viz., Ant Lion Optimization (ALO), Cuckoo Search Optimization (CSO), and Firefly Optimization (FO) are applied to API calls using auto-encoders for identification of most influential More >

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