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A Double Blind, Randomized, Placebo-Controlled Clinical Study of the Nutraceutical Ashwagandha in the Form of Vedaan Ashwagandha KSM 66 Capsules as an Antioxidant, Energy Booster, Nervine Tonic, Anti-Stress and Aphrodisiac in General and Specific Chronic Ailments 一项双盲、随机、安慰剂对照的临床研究,以Vedaan Ashwagandha KSM 66胶囊的形式作为一般和特定慢性疾病的抗氧化、能量增强、神经滋补、抗应激和壮阳药
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.013
Dr. Ravi Raj, D. Kumar, Dr. Ameed Murad
In the modern world, numerous ailments like Tuberculosis and Diabetes Mellitus are common health problems. They can generate a loss of energy in the body, and develop neuropathies which can further generate stress, insomnia, loss of libido and early ageing. In this modem era, stress can disturb an individual’s normal physical and mental health. It causes the perturbation of the body's homeostasis and leads to various physical and psychological health problems. The state of accumulated stress can increase the risk of both acute and chronic psychosomatic illness and weaken immune system of the body. Stress can cause many things such as headaches, anorexia, insomnia, fatigue, or diseases such as hypertension, diabetes mellitus etc. Withania Somnifera is commonly known as Ashwagandha in Ayurvedic medicine, Indian ginseng, poison gooseberry or winter cherry. Well-known antioxidant or Rasayana drug has been chosen and selected for the management of chronic ailments like Tuberculosis and Diabetes mellitus associated with stress, anxiety, headache, insomnia, loss of energy, fatigue, loss of libido. It is used as an antioxidant, diuretic, sedative, anti-inflammatory and aphrodisiac for many ages. Many studies have shown that Withania Somnifera roots have several effects on the central nervous system, including modulation of acetylcholinesterase activity and serotonin receptors, as well as GABA activity (NPD, 2017). Ahmad et al. (2010) described a significant increase (P < 0.01) in sperm concentration and motility in men with normozoospermia, oligozoospermia, and azoospermia treated with Ashwagandha root extract. Results showed a decrease in seminal LPO levels, stress and serum cortisol levels, ROS production, elevated antioxidant levels and overall improvement in sperm quality (concentration and motility), testosterone and LH levels. The current study evaluates the efficacy of Ashwagandha as an antioxidant. Ashwagandha (Withania Somnifera) is already been clinically tried as an adjuvant in the patient with Tuberculosis and Diabetes mellitus. We have given Vedaan Ashwagandha, KSM 66 capsules in our OPD and IPD.
在现代社会,许多疾病,如肺结核和糖尿病是常见的健康问题。它们会导致身体能量损失,并导致神经病变,进而导致压力、失眠、性欲减退和早衰。在这个现代时代,压力会扰乱一个人的正常身心健康。它会扰乱人体的内稳态,导致各种生理和心理健康问题。累积的压力状态会增加急性和慢性心身疾病的风险,并削弱身体的免疫系统。压力会导致很多事情,比如头痛、厌食症、失眠、疲劳,或者高血压、糖尿病等疾病。Withania Somnifera在印度草药、印度人参、毒醋栗或冬樱桃中通常被称为Ashwagandha。众所周知的抗氧化剂或Rasayana药物已被选择和选择用于管理慢性疾病,如结核病和糖尿病与压力,焦虑,头痛,失眠,精力不足,疲劳,性欲丧失有关。它被用作抗氧化剂、利尿剂、镇静剂、消炎剂和催情剂,适用于许多年龄段。许多研究表明,Withania Somnifera根对中枢神经系统有多种影响,包括调节乙酰胆碱酯酶活性和血清素受体,以及GABA活性(NPD, 2017)。Ahmad等人(2010)描述了用Ashwagandha根提取物治疗无精子症、少精子症和无精子症患者的精子浓度和活力显著增加(P < 0.01)。结果显示,精子LPO水平、应激和血清皮质醇水平、ROS产生、抗氧化水平升高、精子质量(浓度和活力)、睾酮和LH水平总体改善。目前的研究评估了Ashwagandha作为抗氧化剂的功效。Ashwagandha (Withania Somnifera)已经在结核病和糖尿病患者中作为辅助治疗进行了临床试验。我们在OPD和IPD中给了Vedaan Ashwagandha, KSM 66胶囊。
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引用次数: 0
Employability of the Machine Learning Algorithms in the Early Detection and Diagnosis of Multiple Diseases 机器学习算法在多种疾病早期检测和诊断中的就业能力
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v13i01.013
Shiven Dhawan
The disease area models intend to bring the clinical and artificial intelligence (AI) fields together so that individuals can figure out how well AI and medication can cooperate. A few specialists have recently utilized AI-based ways to create independent disease detection systems. Early infection distinguishing proof might assist with reducing the number of individuals. To more readily comprehend the job of Artificial knowledge in the clinical field, we plan to lead a far-reaching concentrate on AI applications for the medical services area. To start, we'll audit the features and intentions for involving AI in the medical care industry. From top to bottom, we go over AI-based analyses for incorporating AI also the medical care area. Then, we initially go over AI's technical issues in the clinical industry and afterwards show how AI can help. We likewise investigate the effect of AI in the clinical field. Besides, we present a few eminent drives showing the significance of AI in medical care applications and administrations. At last, examine a few issues in disease distinguishing proof and recommend future innovative work regions that will prompt the utilization of AI in the medical services area.
疾病领域模型旨在将临床和人工智能(AI)领域结合在一起,以便个人可以弄清楚人工智能和药物的合作程度。一些专家最近利用基于人工智能的方法来创建独立的疾病检测系统。早期感染鉴别证据可能有助于减少个体数量。为了更容易理解人工知识在临床领域的工作,我们计划在医疗服务领域的人工智能应用方面进行深远的关注。首先,我们将审核人工智能在医疗行业中的特点和意图。从上到下,我们将介绍基于人工智能的分析,以便将人工智能也纳入医疗领域。然后,我们首先回顾了人工智能在临床行业中的技术问题,然后展示了人工智能如何提供帮助。我们同样研究了人工智能在临床领域的作用。此外,我们还介绍了一些杰出的驱动器,展示了人工智能在医疗保健应用和管理中的重要性。最后,对疾病识别证据中的几个问题进行了研究,并提出了未来推动人工智能在医疗服务领域应用的创新工作领域。
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引用次数: 0
DEVELOPING A SMART MACHINE LEARNING MODEL TO EFFICACIOUSLY DETECT, ANALYZE AND PREDICT DIABETES 开发智能机器学习模型,有效检测、分析和预测糖尿病
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v11i02.021
Archita Chawla
Diabetes is a disease when the glucose content in your blood is exorbitantly outrageous. Insulin, a chemical made through the pancreas, urges you to disconnect glucose from suppers and get into your body cells for energy. On this, we used a cluster set of rules methodologies of the device overwhelming to expect diabetes. Five machines depending to be more familiar with estimations, explicitly SVM, and Naive Bayes, are used to hitting upon diabetes. This may be good for expecting the opportunity levels of diabetes and gives the first in class get to know a group of rules with better precision and comparatively interesting analyses. Because of its endlessly growing occasion, a consistently expanding number of families are affected by diabetes mellitus. Most diabetics think insignificance about their prosperity quality or the risk factors they face going before the future. In this research, we have proposed a smart model ward on data mining strategies for predicting type 2 diabetes mellitus (T2DM). The major issues we are trying to comprehend are working on the assumption model's precision and making the model flexible for more than one dataset. Given a movement of pre-processing philosophy, the model is contained two segments, the better K-means estimation and the essential backslide computation. Using the Pima Indians Diabetes Dataset and the Waikato Environment for Knowledge Analysis tool compartment to differentiate our results from various researchers. The end shows that the model achieved a 3.04% higher precision than other researchers. Similarly, our model ensures that the dataset quality is sufficient. We applied it to two distinct diabetes datasets to survey our model's show. The two research results show satisfactory output.
糖尿病是一种血液中葡萄糖含量过高的疾病。胰岛素是一种通过胰腺产生的化学物质,它会促使你将葡萄糖从晚餐中分离出来,并进入你的身体细胞中获取能量。对此,我们采用了一套集集规则的方法对该设备进行压倒性的预测。五个机器取决于更熟悉的估计,显式支持向量机,和朴素贝叶斯,用来打击糖尿病。这可能有助于预测糖尿病的机会水平,并使课堂上的第一个学生能够更精确地了解一组规则,并进行相对有趣的分析。由于其不断增长的场合,越来越多的家庭受到糖尿病的影响。大多数糖尿病患者认为他们的生活质量或他们面临的风险因素在未来之前并不重要。在这项研究中,我们提出了一个预测2型糖尿病(T2DM)的数据挖掘策略的智能模型病房。我们试图理解的主要问题是如何提高假设模型的精度,并使模型对多个数据集具有灵活性。给定一个运动的预处理哲学,该模型包含两个部分,更好的k -均值估计和基本的倒退计算。使用皮马印第安人糖尿病数据集和怀卡托环境知识分析工具隔间来区分我们的结果来自不同的研究人员。结果表明,该模型的精度比其他研究人员提高了3.04%。同样,我们的模型确保数据集质量足够。我们将其应用于两个不同的糖尿病数据集来调查我们模型的结果。两项研究均取得了令人满意的结果。
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引用次数: 0
DEVELOPING A DATA MINING BASED EFFICACIOUS PREDICTION MODEL OF DIABETICS AND AILED AILMENTS 开发一种基于数据挖掘的糖尿病及疾病有效预测模型
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v11i01.021
Shreyansh Balhara
This model of recovering useful data and models from the information is called KDD (Knowledge Discovery of Database), which includes specific steps like information finding, grouping and change review. AI analyses are called managed and independently. A supervised learning analysis uses insight to predict new or unseeable information, though unaided measures can draw impedances from informative clusters. Supervised learning is additionally described as arrangement. This review uses clustering methods to deliver a more precise area with the class. The clustering analyses have been applied to the Indian Diabetes Data-set of the PIMA of the National Institute of Diabetes, Stomach related and kidney diseases which contains information on diabetic women
这种从信息中恢复有用数据和模型的模型被称为KDD(数据库的知识发现),它包括信息查找、分组和变更审查等具体步骤。人工智能分析被称为管理和独立。监督学习分析使用洞察力来预测新的或不可见的信息,尽管独立的措施可以从信息集群中得出阻抗。监督学习也被描述为安排。本综述使用聚类方法来提供更精确的类区域。已将聚类分析应用于国家糖尿病、胃相关疾病和肾脏疾病研究所PIMA的印度糖尿病数据集,其中包含关于糖尿病妇女的信息
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引用次数: 0
A Comparative Study of the Levels of Heat Shock Protein 70, Some Biochemical and Hormonal in the Blood of Cows Suffering from Follicular Cystic Ovarian and Endometritis 卵泡性囊性卵巢炎和子宫内膜炎奶牛血液中热休克蛋白70及部分生化和激素水平的比较研究
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.019
B. Hasan, J. Hilal, Nawras A. ALWAN
Twenty- four reproductive systems of Frisian cross breed cows, aged between (3-5years) were obtained from Basrah abattoir during the period of (2nd March 2020 - 30th June, 2020). They were divided into 3 groups of cows with ovarian follicular cystic (n=8), cows with endometritis (n = 8), and healthy cows (n=8) depending on clinical signs. The main gall of this paper compare and report the different values of heat shock protein 70 (HSP70), some biochemical and hormonal levels in those cows in the native Basrah climate. Samples of blood were collected from all cows subjected to this study and serum was harvested from each individual sample by centrifugation. Heat shock protein 70 (Hsp70), total protein (TP), albumin(Alb), globulin, total cholesterol (Cho), triglyceride (TG), low density lipo-protein(LDL), aspartate aminotransferase (AST), cortisol, testosterone, thyroid stimulation hormone (TSH), thyroxin (T4) and triiodothyronine hormones(T3) were measured in serum samples. Results revealed a significant increase (p≤0.05) in the level of Hsp70, and thyroid stimulation hormones (TSH) of cows with two pathological cases (endometritis and follicular cysts) compared with those healthy cow. Significant decrease (p≤0.05) in the measurement of total protein, albumin, globulin, thyroxin (T4), triiodothyronine (T3) hormones, cholesterol, triglyceride, and low density lipoprotein (LDL) in cows having those two genital diseases compared with normal cows. The results also were revealed a significant increase (p≤0.05) in the level of testosterone hormone in cows with follicular cystic ovarian case compared with endometritis case and control ones. Finally, significant increase (p≤0.05) in cortisol hormone level and aspartate aminotransferase (AST) activity in cows with endometritis case compared with the control one and follicular cystic ovarian cases.
在2020年3月2日至2020年6月30日期间,从巴士拉屠宰场获得了24头年龄在3-5岁之间的弗里斯兰杂交奶牛的生殖系统。根据临床症状分为卵巢卵泡囊性奶牛(n=8)、子宫内膜炎奶牛(n=8)和健康奶牛(n=8) 3组。本文主要比较和报道了在当地巴士拉气候条件下,这些奶牛的热休克蛋白70 (HSP70)、一些生化和激素水平的不同。本研究收集了所有奶牛的血液样本,并通过离心从每个样本中收集血清。测定血清热休克蛋白70 (Hsp70)、总蛋白(TP)、白蛋白(Alb)、球蛋白、总胆固醇(Cho)、甘油三酯(TG)、低密度脂蛋白(LDL)、天冬氨酸转氨酶(AST)、皮质醇、睾酮、甲状腺刺激激素(TSH)、甲状腺素(T4)、三碘甲状腺原氨酸激素(T3)。结果显示,与健康奶牛相比,子宫内膜炎和卵泡囊肿两种病理奶牛的Hsp70和甲状腺刺激激素(TSH)水平显著升高(p≤0.05)。与正常奶牛相比,患这两种生殖疾病奶牛的总蛋白、白蛋白、球蛋白、甲状腺素(T4)、三碘甲状腺原氨酸(T3)激素、胆固醇、甘油三酯和低密度脂蛋白(LDL)含量显著降低(p≤0.05)。与子宫内膜炎奶牛和对照组相比,卵泡性囊性卵巢奶牛睾酮水平显著升高(p≤0.05)。最后,子宫内膜炎奶牛的皮质醇激素水平和谷草转氨酶(AST)活性显著高于对照组和卵泡性囊性卵巢患者(p≤0.05)。
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引用次数: 0
Schiff Bases having A Triazole Ring Bearing a Pyridyl Moiety are Synthesised, and their Biological Activities are Studied 合成了含吡啶基三唑环的希夫碱,并对其生物活性进行了研究
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v16i01.002
Zamzam Mohamad, Dawood S. Abid
The most frequently used organic compounds are Schiff bases. They have been demonstrated to have a broad variety of biological activities. Using a thermal method, the synthesis of a series of imine derivatives 4a-f from Amino triazole thiol (3) as starting material with six different aldehydes. Target compounds' full characteriszation was achieved using 1H and 13C- NMR, mass spectra, and FT-IR. In the 1H-NMR spectra of compounds (4a-f), an isotope with a proton signal for the CH of the azomethine group that ranged from 8 to 10.30 ppm was observed. Due to labile hydrogen bonds with nitrogen and sulfur, compound 3 exists in two tautomeric forms. Synthesis compounds' antibacterial activity was investigated against the bacteria Klebsiella, E. coli and, S. aureus
最常用的有机化合物是席夫碱。它们已被证明具有广泛的生物活性。以氨基三唑硫醇(3)为原料,以六种不同的醛为原料,采用热法合成了一系列亚胺衍生物4a-f。利用1H和13C- NMR、质谱和FT-IR对目标化合物进行了全面表征。在化合物(4a-f)的1H-NMR谱中,观察到一种质子信号为亚甲基CH的同位素,其质子信号范围为8 ~ 10.30 ppm。由于与氮和硫的氢键不稳定,化合物3以两种互变异构形式存在。研究了合成的化合物对克雷伯氏菌、大肠杆菌和金黄色葡萄球菌的抑菌活性
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引用次数: 0
Women Infertility- An Ayurvedic Perspective 女性不孕症-阿育吠陀的观点
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v13i01.006
Dr A R V Murthy, Dr Sonalika Hiremath, Dr Sridevi Swamy, Dr. Ishwari Patil
Infertility primarily refers to the biological inability of a person to contribute to conception. In women, it may also refer to the state when she is not able to carry a pregnancy to its full term. Female infertility is caused due to structural problems like blocked Fallopian tubes, defect in cervical canal, uterine fibroid or polyps, hormonal imbalance; Leading ovulation problems too can cause infertility. From Ayurvedic perspective, shukradhatu (reproductive material) can get affected by various physical, mental causes and even by serious diseases. Poor quality shukradhatu can cause infertility in males & females.
不孕症主要是指一个人在生物学上没有能力受孕。在女性中,它也可以指她不能怀孕到足月的状态。女性不孕是由于输卵管堵塞、子宫颈缺损、子宫肌瘤或息肉、激素失调等结构性问题引起的;排卵问题也会导致不孕。从阿育吠陀的角度来看,shukradhatu(生殖物质)会受到各种身体、精神原因甚至严重疾病的影响。质量差的shukradhatu会导致男性和女性不孕。
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引用次数: 0
Prevalence of Helicobacter pylori Infection and Its Associated Factors Among Symptomatic Population in the India 印度有症状人群中幽门螺杆菌感染的流行及其相关因素
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v15i01.004
S. Thakur, P. Singh
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引用次数: 0
Drugs in Ayurveda for Herbal Sanitizers: A Critical Review 阿育吠陀草药消毒剂中的药物:一个关键的评论
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.014
Dr. Kapila Chahande, Dr. Ramesh Shandge, Dr. Chetan Sharma
As the Coronavirus (Covid-19) is spreading rapidly worldwide. The symptoms include respiratory illness, commonly fever, tiredness, dry cough, breathlessness & chest tightedness. There are many ways to prevent the Coronavirus disease (Covid-19) pandemic, such as maintaining social distancing, wearing a protective mask, avoiding getting outside the house, avoiding touching any surface, avoiding touching on face, and one of the best measures is to maintain the hand hygiene. Hand hygiene is the best tool in preventing the infection caused by the disease. It is a simple, affordable and very effective method to achieve this use of hand sanitizer is useful and very important measure. In recent weeks, as the death toll has climbed & the panic surrounding /coronavirus has mounted. The need of hand sanitizers has greatly increased. The purpose of this study is to prepare the herbal hand sanitizer incorporating the leaves extracts of Ocimum sanctum (tulsi), Azadirachtaindica (neem), Citrus lemon, Aloevera (kumari), Eucalyptus (tailparni), Ethyl alcohol and water. The properties and chemical composition of each drug and the method of preparation of Herbal Hand sanitizer have been included.
随着冠状病毒(Covid-19)在全球迅速蔓延。症状包括呼吸系统疾病,通常是发烧、疲倦、干咳、呼吸困难和胸闷。预防新冠肺炎大流行的方法有很多,比如保持社交距离、戴防护口罩、避免走出家门、避免接触任何物体表面、避免接触面部,其中最好的措施之一就是保持手部卫生。手卫生是预防疾病引起的感染的最佳工具。这是一种简单、负担得起且非常有效的方法,实现这种使用洗手液是有用且非常重要的措施。最近几周,随着死亡人数的攀升和对冠状病毒的恐慌加剧。洗手液的需求大大增加了。本研究的目的是制备含酢浆草(tulsi)、印楝(楝)、柑橘柠檬、芦荟(kumari)、桉树(tailparni)、乙醇和水的草药洗手液。包括每种药物的性质和化学成分以及草药洗手液的制备方法。
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引用次数: 0
CULTIVATION OF LIMBAL STEM CELLS USING AMNIOTIC MEMBRANE, BOTH INTACT AND DENUDED 利用完整和剥去的羊膜培养角膜缘干细胞
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v11i02.023
Abhijeet S. Pohekar, N. Gupta
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引用次数: 0
期刊
International Journal of Research in Medical Sciences and Technology
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