International Journal of Experimental Research and Review最新文献

{"title":"Fabrication of microspheres and characterization of antimicrobial and anti-inflammatory activity isolated fraction from total alcoholic extract of Cassia Fistula (Linn.) in carrageenan-Type-IV induced inflammatory rats","authors":"Beldar Shamshad Bee, R. Jat, Sufiyan Ahmad","doi":"10.52756/ijerr.2023.v32.021","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.021","url":null,"abstract":"The Cassia fistula Linn is known as the golden shower tree. It’s also referred to as a \"disease killer\" in Ayurvedic medicine. The current study investigates the effect and estimate of antimicrobial and Anti-inflammatory activity guided fraction isolated from alcoholic extract of Cassia fistula (Linn.) root on carrageenan-Type IV induced Inflammatory rats for using Column fraction of alcoholic extract of root of Cassia fistula (Linn.) An in vivo carrageenan-induced paw edoema model was used to confirm further the anti-inflammatory effect of the fraction aloe-emodin and physcion-loaded microspheres. This study was designed first time for the isolation of alcoholic fraction of aloe emodin and Physcion by root extract and screening of pharmacological activities of Cassia fistula. Aloe-emodin and Physcion fraction demonstrated antibacterial and antifungal effectiveness against the studied pathogens in a dose-dependent manner, according to anti-microbial activity. 50 mg/ml concentration of Physcion-containing microspheres and aloe emodin's antibacterial efficacy against tested pathogens. The anti-inflammatory activity of Aloe emodin and Physcion was found in an equal manner. Both Microsphere samples were found capable of controlling the inflammation till 6 hours. According to the findings of this research, the chosen plant extracts have an immediate anti-inflammatory effect. There are three stages during which carrageenan-induced inflammation mediators are released.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130454729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of platinum nanoparticles on rabbit spermatozoa motility and viability","authors":"Lucia Dianová, Filip Tirpák, Marko Halo Jr., Michal Lenický, T. Slanina, S. Roychoudhury, P. Massányi","doi":"10.52756/ijerr.2023.v32.023","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.023","url":null,"abstract":"Male reproductive health is becoming a frequently asked question nowadays. Spermatozoa can be highly sensitive to various substances found in the environment. With the accretive usage of nanoparticles in technology and medicine, nanoparticles may also pose as potential environmental contaminants. Platinum nanoparticles are increasingly used in medicine, mainly for cancer treatment. The aim of this study was to investigate the effect of platinum nanoparticles on the motility and viability of rabbit spermatozoa in-vitro. Rabbit semen (n = 5) was cultured with solutions with different concentrations of platinum nanoparticles (control group or CON = only 0.9% NaCl; experimental groups D = 62.5 µg/ml, E = 31.25 µg/ml, F = 15.63 µg/ml, G = 7.81 µg/ml, H = 3.91 µg/ml, I = 1.95 µg/ml, J = 0.98 µg/ml, K = 0.49 µg/ml, and L = 0.24 µg/ml platinum nanoparticles) at time intervals of 0, 2, 4, 6, 9 and 24 hours. Selected parameters were analysed by computer-assisted sperm analyzer (CASA) technology – total motility (MOT, %), progressive motility (PRO, %), curvilinear velocity (VCL, µm/s) and viability (metabolic activity) of spermatozoa using the MTT test. Platinum nanoparticles negatively affected spermatozoa motility, progressive motility, and curvilinear velocity at almost all assessed time intervals, mainly at the highest used concentrations. The initial time interval shows a slight but statistically significant increase in MOT and PRO. Spermatozoa viability was not significantly affected, according to the results of this experiment. It was shown that the effect of platinum nanoparticles is time and dose-dependent. However, further analyses are needed to draw complete conclusions.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"456 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127612067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safety evaluation of a polyherbal formulation: Acute and sub-acute toxicity study using Wistar Albino rats","authors":"Vaibhav Tripathi, Chandra Kishore Tyagi, Wasim Raja","doi":"10.52756/ijerr.2023.v32.020","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.020","url":null,"abstract":"Vatrog Nashak Churna (VNC) is a traditional polyherbal formulation for musculoskeletal diseases. Although the safety and mechanism of toxicity of the individual herbs have been explored, the formulation remains undocumented in the literature. Research into its sub-acute toxicity will strengthen its pharmacological outline and encourage its investigation as a potential future treatment. Rats were split into three groups (n¼12) by OECD TG 407 (OECD, 2008). The limit test determined the necessary amount of VNC. The control groups were given an identical volume of vehicle, while the dosing and monitoring groups were given VNC (1000 mg/kg/day, p.o. for 14 days). The duration of the post-treatment surveillance period was extended by 14 days in order to evaluate reversibility. Deaths, toxic reactions, and weight shifts were all recorded. On days 15 and 29, the rats were killed while under anaesthesia so that blood samples could be collected to analyze for haematological and biochemical markers. Histopathological studies and evaluation of a wide range of biochemical and hematological parameters indicated that VNC has no appreciable harmful effect on body weight, erythropoiesis, or leucopoiesis. This study may assist scientists in determining appropriate levels for longer-term sub-chronic investigations so that VNC may be considered safe for short-term use. Sub-chronic and chronic toxicity tests must also assess long-term safety.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121462623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-based maternal health risk prediction model for IoMT framework","authors":"Subhash Mondal, A. Nag, A. Barman, Mithun Karmakar","doi":"10.52756/ijerr.2023.v32.012","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.012","url":null,"abstract":"The Internet of Things (IoT) is vital as it offers extensive applicability in various fields, including healthcare. In the context of the risk level during pregnancy, to monitor and predict abnormalities, IoT devices provide a means to collect real-time health data, enabling continuous monitoring and analysis in the Internet of Medical Things (IoMT) environments. By integrating IoT devices into the system, crucial signs such as Heart Rate (HR), Systolic and Diastolic Blood Pressure (BP), Fetal Movements (FM), and Temperature (T) can be tracked remotely and non-invasively. This allows for the timely detection of abnormalities or potential risk factors during pregnancy, empowering healthcare professionals to intervene proactively and provide personalized care. This research focuses on developing a system for observing and predicting the maternal risk level in the IoT environment, mainly in remote areas. The goal is to improve maternal health and reduce maternal and child mortality rates, a significant decline according to United Nations targets for 2030. The research utilizes analytical tools and Machine Learning (ML) algorithms to analyze health data and risk factors associated with pregnancy. The acquired dataset contains various risk factors categorized and classified based on intensity. After comparing different ML models’ experimental results, Exploratory Data Analysis (EDA) approaches to determine the most effective risk factors. The fine-tuned Random Forest Classifier (RF) achieves the highest accuracy of 93.14%. An Android-based application has also been developed to deploy the prediction model to determine risk levels based on the different parameters.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anonymity in decentralized apps: Study of implications for cybercrime investigations","authors":"Arjun Chetry, Uzzal Sharma","doi":"10.52756/ijerr.2023.v32.017","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.017","url":null,"abstract":"In the digital age, cybercrime facilitated by anonymous communication apps raises significant concerns. Criminals exploit the anonymity provided by these apps, creating challenges for law enforcement and cybersecurity professionals when investigating and combating cybercrime. The complexity of decentralized applications (DApps) without centralized servers further complicates evidence certification. Although anonymity features to protect privacy, they impede the establishment of connections between digital accounts and real-world identities. In centralized server environments, data access for investigations is relatively straightforward. However, this study reveals that DApps present challenges due to decentralized control, anonymity, encrypted communication, and jurisdictional issues. DApps designed for anonymous communication allow users to interact without revealing their identities, making it challenging to trace criminals. While cybercrime investigations in centralized environments involve systematic evidence collection, correlation, analyzing communication patterns, collaboration with agencies, tracking IP addresses, legal authorization, and forensic analysis of digital devices, DApps-based investigations require vital intelligence gathering through open-source techniques (OSINT). This includes retrieving digital footprints, analyzing social media profiles, and tracing ownership information. Moreover, investigators may exploit human vulnerabilities, engage in deceptive communication, or use social engineering techniques to gather information while carefully considering the balance between user privacy and investigative requirements. In this study, we explore the many facets of anonymity in DApps and what challenges they impose for the investigation of cybercrime. The anonymity of users and their transactions in the context of new blockchain and decentralized technology presents difficulties for law enforcement. In the end, our research helps shed light on the complex relationship between anonymity in decentralized systems and the need for fairness online.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122785490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the response of phytoplankton to the cyclonic event Sitrang A case study in the Hooghly estuary of Sundarban Bay of Bengal region","authors":"Goutam Biswas, Santu Pramanik, Koutilya Bhattacharjee, Samir Kumar Saha","doi":"10.52756/ijerr.2023.v32.027","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.027","url":null,"abstract":"The study aims to investigate the impact of tropical cyclone Sitrang on the phytoplankton community and water quality parameters at estuarine zone of Hooghly River near Namkhana region of Sundarban. Focusing on the response of diatom and dinoflagellates to this post-monsoonal cyclone this study tries to address the questions regarding short-term ecological effects, including changes in water quality, shifts in the phytoplankton composition and abundance, and the potential factors driving these changes. Water samples were collected for consecutive three days before and six days after the occurrence of the Sitrang in October 2022. A substantial drop in pH, DO, and temperature after the immediate passage of the cyclone along with increased salinity, chlorophyll-a content, inorganic macronutrients, and TDS were observed. The cyclone led to a significant reduction in phytoplankton diversity, while concurrently causing a notable increase in their abundance. Prior to the cyclone 45 species of diatoms and 8 species of dinoflagellates were observed which was reduced to 25 and 6 species after the cyclone. Post-cyclonic period exhibited high predominance of dinoflagellates especially Tripos sp., and Noctiluca scintillans (4.3×103 cells/L). Canonical correspondence analysis (CCA) revealed nitrate and salinity are the major factors influencing phytoplankton abundance. The notable phenomenon of massive increase in the number of Tripos furca (2.04 ×104 cells/L) suggests their favourable growth condition triggered by the cyclone. Due to the rising intensity of cyclones in the Indian Sundarbans, close monitoring and continuing research is essential for a thorough understanding of phytoplankton dynamics.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127200661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain tumor detection model based on CNN and threshold segmentation","authors":"Jaishree Jain, Shashank Sahu, Ashish Dixit","doi":"10.52756/ijerr.2023.v32.031","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.031","url":null,"abstract":"Brain tumours pose a substantial global health issue, emphasising the criticality of timely and precise identification to ensure optimal treatment outcomes. This research introduces an innovative methodology for the identification of brain tumours by employing a fusion of Convolutional Neural Networks (CNNs) with threshold segmentation techniques. The objective of the suggested model is to improve the precision and effectiveness of brain tumour identification in medical imaging, namely Magnetic Resonance Imaging (MRI) scans. Fast and precise diagnosis is necessary in the medical profession for effective treatment, but current technologies lack this capability. For successful therapy, it is therefore necessary to develop an effective diagnosis application. Global threshold segmentation for pre-processing is used in this study. Image capture and de-noising were completed in the first stage, while classification and regression were completed in the second stage using ML approaches. A computer-aided automated identification method is the computational technique used in this study. This investigation uses one hundred twenty (120) brain scans from a real-time MRI brain database, of them 15 normal and 105 abnormal. According to performance metrics, the accuracy of training and testing pictures was 99.46%. Comparing this method to recently published methods, it is determined that LR-ML with the threshold segmentation has a rapid, precise brain diagnostic system.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protection of hydrogen peroxide and Metal induced DNA damage by flavonoids","authors":"Muthusamy Thangavel, Janani Gopi, Deepalakshmi Balakrishnan","doi":"10.52756/ijerr.2023.v32.036","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.036","url":null,"abstract":"More recent research has shown that free radicals cause biomolecules to oxidatively damage. This harm has been linked to several human illnesses, diseases, and ageing. Reactive oxygen species (ROS), such as the hydroxide free radical (OH), hydrogen peroxide (H2O2), and superoxide ion (O2-), have been proven to cause oxidative damage to DNA. Naringin, quercetin, and naringinin have been demonstrated to assist in DNA from oxidative damage. The 2,2-diphenylpicrylhydrazyl (DPPH) test was used to gauge the capacity to neutralize free radicals. The method used was founded on spectrophotometric evaluation of the modification in DPPH concentration caused by the interaction with an antioxidant. Based on the apparent contradiction in words, the study shows the impact of quercetin, naringin, and naringinin on DNA damage in the presence of cupric ions and H2O2 using the gel electrophoresis technique. The aforementioned flavonoids acted as a protective agent at low cupric ion concentrations. While hydroxy free radical scavenger (FRS) did not prevent DNA cleavage at greater cupric ion concentrations, flavonoids did. It follows that DNA damage brought on by flavonoids is not simply caused by oxidative stress. The current work will look at a possible mechanism for the development of Copper(II) complexes with quercetin, naringin, and naringinin that promote antioxidant activity. To properly assess the efficacy of naringenin, quercetin, and naringin when combined with chemotherapeutic drugs for the administration of human health benefits, additional in-depth investigations, including clinical trials, are required.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121258114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Baldness: Comprehensive aspects and its reassuring remedies","authors":"Arghya Bhattacharya, Pronoy Mukherjee, Soumik Bhattacharjee, Dattatreya Mukherjee, Chanchal Koley, B. Dhara, Tanmay Sanyal","doi":"10.52756/ijerr.2023.v32.007","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.007","url":null,"abstract":"The medical term for baldness is alopecia. It refers to the condition where hair is lost from one or more areas of the body, commonly from the scalp. Balding can result from various factors, including genetic predisposition, environmental triggers, exposure to chemicals, medications, nutritional deficiencies, excessive stress, or prolonged illness. Depending on the pattern of hair loss and its underlying cause, alopecia is categorized into several types. Among these, androgenetic alopecia and alopecia areata are of primary concern. Presently, there are numerous synthetic treatments available for managing alopecia (both areata and androgenetic alopecia), including minoxidil, corticosteroids, zinc, dithranol, systemic cortisone, tretinoin, irritants, immunosuppressants, azelaic acid, and finasteride. However, these treatments often fail to provide satisfactory and long-lasting results for individuals with alopecia. Moreover, these synthetic products are associated with adverse effects, such as itching, redness, dermatitis, flaking, and irritation. Natural remedies have been explored to address the challenge of hair loss. A variety of herbs have demonstrated efficacy in managing alopecia. These natural remedies operate through mechanisms such as nutritional support, 5-α-reductase and DHT (dihydrotestosterone) inhibition, aromatherapy, and improved scalp blood circulation. Utilizing these natural treatments offers several advantages, including patient adherence, minimal side effects, easy accessibility, affordability, and diverse modes of therapeutic action for hair loss management. In this review, we highlighted the causes of alopecia and its promising, cost-effective treatments, which might significantly alter the lives of those impacted by baldness by providing them with a road to greater self-assurance, well-being, and quality of life.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117267327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effective medical leaf identification using hybridization of GMM-CNN","authors":"Marada Srinivasa Rao, Sekharamantry Praveen Kumar, Konda Srinivasa Rao","doi":"10.52756/ijerr.2023.v32.009","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v32.009","url":null,"abstract":"Medical plants play a vital role in curing many diseases. These plants, along with their leaves, have medicinal values. If these leaves are identified appropriately, they can be chosen directly to have more significant relief from the disease. Therefore, the identification of these medical species is a challenging task. The ecologically motivated Convolutional Neural Networks (CNNs) have substantially contributed to computer visual research. This article introduces a unique approach to medical leaf identification based on the hybridization of the Gaussian mixture model and a Convolutional Neural Network (GMM-CNN). The experimentation is performed on the Flavia dataset and is carried out using benchmark evaluation metrics. The parameters like index volume, probability of random index, and global consistency error are evaluated. The Python simulation model is utilized for the evaluation of the proposed methodology. The hybrid technique combining GMM and CNN has considerable potential in medical leaf identification. The experimental findings indicate that the hybrid strategy exhibits superior performances. The methodology suggested in this study demonstrates exceptional levels of accuracy, precision, and recall when applied to a wide range of medical leaf categories. Moreover, integrating Gaussian Mixture Model (GMM) and Convolutional Neural Network (CNN) addresses concerns associated with a scarcity of training data by offering a more resilient structure for extracting features and performing classification. By combining the advantages of statistical modelling with deep learning, we develop a resilient and precise system that has the potential to enhance botanical research, medical diagnostics, and environmental monitoring applications.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}