11 research outputs found
A CASE STUDY-AYURVEDIC TREATMENT PROTOCOL FOR INFERTILITY (VANDHYATVA) DUE TO ENDOMETRIOSIS
No full textDr. Smita Naram, Dr. Deepak Mahajan*, Dr. Hemang Parekh, Dr. Tushar Yada
Reduction on Quantitative Viral Load in Hepatitis B: A Case Report of Successful Management Through Ayurveda
No full textHepatitis B is one of the most prevalent causes of liver illness and is more likely to spread since people are not aware of the precautions. It is correlated with Kamala disease and shows chief symptoms like abdominal pain, vomiting, and yellowish discoloration in eyes, body, and urine etc. This case presents effectiveness of Ayurveda treatment in reducing symptoms and viral load in hepatitis case. A male patient of 64 years came to OPD of Ayushakti Ayurved Pvt Ltd. with hepatitis B positive result with complaints of weakness, fatigue, body pain, gas and acidity, pain in abdomen, recurrent throat infection. He was analysed clinically; the vitals were stable. After clinical examination, he was given tablet Livtone, D-vyro, for 3 months and Tablet Jivanyoga, Rejuliv, Immuno for next 3 months. Tab Gulkacid was kept continued across the treatment. After 6 months of treatment patient found good relief in symptoms and significant changes were reflected in laboratory parameters where viral load was decreased from 44 IU/ml (256 copies/ml) to 20 IU/ml (116 copies/ml), change in log value from 1.64 to 1.30. The ingredient of each tablet along with rational of prescriptions has been discussed in this paper
Ayurveda for Polycystic Ovarian Syndrome: A successful case report
No full textAmong women of reproductive age, poly Cystic Ovarian disease (PCOD) is the most common observed endocrinopathy resulting from insulin resistance and the compensatory hyperinsulinemia, alteration in serum lipids, anovulation which produces complaints like abnormal uterine bleeding, dysmenorrhea and even causes disturbance in conception. Ayurveda correlates PCOD with Aarthava Kshaya. A female patient of age 40 years reported to Ayushakti Ayurved Private Ltd on 12th Sep 2024 with complaints of irregular bleeding and pain during menses since 6-8 months and with Ultrasonography report as well defined right ovarian complex cyst of size 4.2* 3.3*4 cm with multiple septations and volume of 30 cc, well bulky nature. She was clinically examined and advised treatment of Tablet Granthihara, Uritone, Metaboost, Immuno and Tablet Virechana. After 3 months follow up she has complete remission in complaints and complete regression in cyst. The results revealed the treatment given wisely by following Ayurveda principles, helps in successful cured of PCOD
Management of Hypothyroidism with Ayurveda - A Case Study
No full textThyroid problems are the most common endocrine disorders seen worldwide. Thyroid gland secretes two hormones, Thyroxine (T4) and Triiodothyronine (T3). TSH plays a major role in controlling the thyroid axis and serves as the most useful physiological marker of Thyroid gland function. Sedentary lifestyle and unhealthy food habits may be considered as a primary reason behind increasing Endocrinological disorders including that of Thyroid gland. Increasing levels of stress and anxiety is also contributing to thyroid disorders as the gland is highly sensitive to stimuli. Many of the Kaphaja Nanatmaja Vikaras are seen as the clinical features of Hypothyroidism viz. Gurugatrata (feeling of heaviness), Alashya (lethargy), Tandra (drowsiness), Atisthoulya (obesity/weight gain), Atinidra (excessive sleep) etc. Hypothyroidism is a clinico-pathological condition affecting multiple systems and require multimodal treatment. The treatment protocol was adopted to counteract the pathophysiology by Shodhana and Shamana Chikitsa. Patient was cured completely with no reoccurrence of symptoms even after 6 months. During subsequent treatments and routine follow-ups, laboratory investigations were done. A case of hypothyroidism was successfully treated with multimodal Ayurvedic medicine, resulting in a rapid and significant recovery
A Case Study of Successful Ayurveda Management in the Patient of Migraine (Ardhavabhedaka) and Motion Sickness
No full textMigraine is a type of Headache characterized by moderate to severe throbbing pain, generally associated with nausea, vomiting and light sensitivity. It can be correlated to Ardhavbhedaka, which according to the Ayurvedic science is caused by simultaneous vitiation of all the three Doshas viz. Vata, Pitta and Kapha. Motion sickness is also a common disorder wherein patient suffers from symptoms like nausea, vomiting, increased salivation, dizziness, upon getting triggered by certain movements. In this case study, a female patient of middle age group (Madhyam Avastha) suffering from long standing migraine and motion sickness since past 15 years (on and off), hampering her day to day activities, was administered with the treatment protocol as per Ayurveda resulting in significant relief to her symptoms. The treatment, planned according to her pulse diagnosis and clinical examination, was based on herbal supplements, Panchakarma (detoxification) in the form of Virechana, home remedies, Marmaa therapy, dietary and lifestyle modifications. The treatment was focused on removing the toxins (Aam) from the body with the help of detox (Virechana). This also resulted in alleviation of the vitiated Vata and Pitta Doshas and restoration of the Jatharagni (digestive fire). The treatment modality has been effective to reduce the episodes significantly
A survey to evaluate the efficacy of virechana, basti and knee dhara in patients with Osteoarthritis of knee joint
No full textBackground: The objective of this study was to evaluate the role of Virechana (Arhtrox) followed by Kalbasti (14 in number), Knee dhara and Matrabastiin knee osteoarthritis patients.Methods: From OPD of Ayushakti Ayurveda Pvt. Ltd., 60 Patients suffering from knee Osteoarthritis (Janusandhigatavata) were selected randomly as per the inclusion and exclusion criteria. On the basis of specific criteria prepared. Group-I-(30 patients) received only Ayushakti herbs for Osteoarthritis, viz. Painmuktimj, Painmukti sandhical and Painmukti cream for LA Group-II-(30 patients) received Virechana (Arthrox), KalBastikrama (14 Bastis) and Knee dhara with oil followed by Matrabasti (60 ml) twice a week for 6 months along with Ayushakti herbs for Osteoarthritis. Each participant was in the study for 6 months. The entire study duration was 12 months.Result: About 87 patients were enrolled in the study of which 60 completed the study, 27 patients were drop out of the study, at the different stages of project mainly due to poor follow up. Significant reduction in pain was observed in Groups I and II as compared to the baseline (p <0.001) Pain scale (p <0.001).Conclusion: In this study, good relief was offered in knee joint pain, stiffness and mobility, and daily activities like standing, walking, and climbing. Painmukti mj, Painmukti cream and Painmukti Sandhical tablets are Anti-inflammatory, Analgesic but their efficacy can be increased with Virechana
Online Caching with Optimistic Learning
No full textThe design of effective online caching policies is an increasingly important
problem for content distribution networks, online social networks and edge
computing services, among other areas. This paper proposes a new algorithmic
toolbox for tackling this problem through the lens of optimistic online
learning. We build upon the Follow-the-Regularized-Leader (FTRL) framework
which is developed further here to include predictions for the file requests,
and we design online caching algorithms for bipartite networks with fixed-size
caches or elastic leased caches subject to time-average budget constraints. The
predictions are provided by a content recommendation system that influences the
users viewing activity, and hence can naturally reduce the caching network's
uncertainty about future requests. We prove that the proposed optimistic
learning caching policies can achieve sub-zero performance loss (regret) for
perfect predictions, and maintain the best achievable regret bound
even for arbitrary-bad predictions. The performance of the proposed algorithms
is evaluated with detailed trace-driven numerical tests.Comment: To appear in IFIP Networking 202
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems
No full textService provisioning systems assign users to service providers according to allocation criteria that strike an optimal trade-off between users' Quality of Experience (QoE) and the operation cost endured by providers. These systems have been leveraging Smart Contracts (SCs) to add trust and transparency to their criteria. However, deploying fixed allocation criteria in SCs does not necessarily lead to the best performance over time since the blockchain participants join and leave flexibly, and their load varies with time, making the original allocation sub-optimal. Furthermore, updating the criteria manually at every variation in the blockchain jeopardizes the autonomous and independent execution promised by SCs. Thus, we propose a set of light-weight agents for SCs that are capable of optimizing the performance. We also propose using online learning SCs, empowered by Deep Reinforcement Learning (DRL) agent, that leverage the chained data to continuously self-tune its allocation criteria. We show that the proposed learning-assisted method achieves superior performance on the combinatorial multi-stage allocation problem while still being executable in real-time. We also compare the proposed approach with standard heuristics as well as planning methods. Results show a significant performance advantage over heuristics and better adaptability to the dynamic nature of blockchain networks
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
No full textArtificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics control and military surveillance. This is driven by the easier access to sensory data and the enormous scale of pervasive/ubiquitous devices that generate zettabytes of real-time data streams. Designing accurate models using such data streams, to revolutionize the decision-taking process, inaugurates pervasive computing as a worthy paradigm for a better quality-of-life (e.g., smart homes and self-driving cars.). The confluence of pervasive computing and artificial intelligence, namely Pervasive AI, expanded the role of ubiquitous IoT systems from mainly data collection to executing distributed computations with a promising alternative to centralized learning, presenting various challenges, including privacy and latency requirements. In this context, an intelligent resource scheduling should be envisaged among IoT devices (e.g., smartphones, smart vehicles) and infrastructure (e.g., edge nodes and base stations) to avoid communication and computation overheads and ensure maximum performance. In this paper, we conduct a comprehensive survey of the recent techniques and strategies developed to overcome these resource challenges in pervasive AI systems. Specifically, we first present an overview of the pervasive computing, its architecture, and its intersection with artificial intelligence. We then review the background, applications and performance metrics of AI, particularly Deep Learning (DL) and reinforcement learning, running in a ubiquitous system. Next, we provide a deep literature review of communication-efficient techniques, from both algorithmic and system perspectives, of distributed training and inference across the combination of IoT devices, edge devices and cloud servers. Finally, we discuss our future vision and research challenges
Searching the perversity of binary sexuality in the eyes of present writers era : Two novels by Abul Bashar and Tilottoma Majumdar/ একালের সাহিত্যকারের দৃষ্টিতে যৌন বিপ্রতীপতার সূত্র-সন্ধান : আবুল বাশার ও তিলোত্তমা মজুমদারের দুটি উপন্যাস
No full textA well-known theory in Levi Strauss’s ‘Structural Anthropology’ is a reality in almost every one of our lives; That is the ‘Binary Opposition Theory’s are true; People have given it dignity or abandoned it according to themselves. On literature, the subject of ‘sexuality’ has been condemned and reviled in this way. Even though eternal love touched the heights of excellence of the book ‘Shrikrishna Kirtan’, this love did not get social recognition in real life. Joys and tears of the two hearts of lovers are as real as the eternal, one step further - the relationships of the third gender are equally real.
The formula for paradox is actually finding the relationship between two opposite characteristics. Thus in our present article we have chosen a female author as opposed to a male one. In two novels written by them – ‘Chander Gaye Chand’ (Tilottoma Majumder) and ‘Naram Hridayer chinho’ (Abul Bashar), we can find the perversity of sexuality in the selection of the story, traveling the spiral path of sexual desire. According to social norms of sexual relations, the intercourse will be only permitted who are married. But sexual relations can be between anybody. We want to show how true the complexity and complexity of these relationships are in the two novels we have analyzed. In addition, how much the journey of sexuality in the 21st century will be a call for future perspectives. Our discussion will capture the reflection of the hopes and disappointments, joys and tears, anger, sorrow, jealousy and love of the third gender. The difference between the simple life of the common man and the third gender is complex but true. In this article, we will try to uncover the truth of the life of the third gender based on the principle of paradox.  
