A comprehensive study on Regional Anatomy of Adho Shaakhaagata Maamsa Marma by Cadaver Dissection and their Applied Anatomy

Marma is the meeting point where Mamsa, Sira, Snayu, Asthi and Sandhi along with Prana resides which on injury produce death or death like miseries. Maamsa Marma is one such category based on predominant Marma Vasthu. They are eleven in number. Among them four are present in Adho Shakhaa i.e., two Talahrudaya and two Indrabasthi. Talahrudaya Marma is located in the middle of Paada in the line of middle finger, which on injury causes Ruja and Marana.  Indrbasthi Marma is located in the middle of Janghain the side of Paarshni and it causes death due to Shonitha Kshaya. Both of them are Kaalantarapraanahara Marmas. Methods: Literature regarding Marma and its Viddhalakshana were collected from various sources and its Viddha Lakshanas are analysed scientifically. Anatomical structures found in the region of Adhoshakhaagata Maamsa Marmas were confirmed with the help of cadaveric dissection in five bodies. Results: Muscles of 1st, 2nd, 3rd and 4th, layer of the sole, Medial & lateral plantar nerves, deep plantar arch, shielded by thick layer of skin, superficial facia and plantar aponeurosis are the important structures present in the Talahrudaya Marma Sthaana. Superficial & deep calf muscles, posterior tibial vessels, peroneal vessels, tibial nerve and short saphenous nerve are the important structures present in the Indrabasthi Marma Pradesha. The Viddha Lakshanas are analyzed with applied aspects of these regions. Conclusion: Centre of the sole along the line of middle finger can be considered as the region of Talahrudaya Marma which on injury results in Ruja & Marana. Indrabasthi Marma is located in the middle of the Jangha (calf) in the side of Paarshni (heel) about 12 Angula above heel, which on injury results in Shonitha Kshaya & Marana

A rare cause of recurrent pneumonia: Scimitar syndrome

Scimitar syndrome is characterized by partial or total anomalous pulmonary venous return from the right lung along with hypoplasia ofthe lung. This syndrome has varied presentations, from an asymptomatic state to severe pulmonary hypertension and/or heart failure.Newer diagnostic modalities have improved our understanding of this rare syndrome and hence providing newer treatment options tobe tried. Here, we present a case of a 4-year-old child with recurrent pneumonia with Scimitar syndrome. We are reporting this case inview of the rarity of this syndrome and its presentation as recurrent pneumonia

Impact of weather parameters on maize agroecosystem and adaptation strategies under changing climatic conditions: A review: Sustainable and climate-resilient adaptation strategies in maize agroecosystem

Change in precipitation patterns and increase in the frequency and intensity of extreme weather events (high temperatures and heat waves) harm crop productivity. As per the future prediction, the temperature may increase by 2.5 0C by 2050 and by 2-30 C by the end of the century. The present review evaluates the impact of a rise and fall in temperature, solar radiation, and CO2 on the productivity of maize and other crops. Agronomic management practices during the crop growth period of selecting crop cultivars, date of sowing, plant population, dosage, timing, and methods of application of inputs are influenced by temperature, rainfall, solar radiation, and CO2 concentration in the atmosphere. Overall crop productivity will reduce by 50.9 % in wheat in the USA, 46% in maize in China,17% in cotton in India, and 30% in sugarcane in India. Changing the sowing date and adopting improved early and short-duration varieties of corn and other crops are becoming significant under low-cost adoption technologies to mitigate climate change. Info Crop-SORGHUM simulation model predicts that change in the sowing date of a variety in sorghum reduces the impact of climate change and vulnerability to 1- 2 % by 2020, 3-8 % by 2050, and 4-9% by 2080. The review highlights the impact of heat stress and drought on soil processes, and overall soil health. The authors conclude to implement climate adoption technologies based on Agriculture 4.0 to sustain crop production globally

Building a robust word-level wakeword verification network

Published versio

An audio-based wakeword-independent verification system

We propose an audio-based wakeword-independent verification model to determine whether a wakeword spotting model correctly woke and should respond or incorrectly woke and should not respond. Our model works on any wakeword-initiated audio, independent of the wakeword by operating only on the audio surrounding the wakeword, yielding a wakeword agnostic model. This model is based on two key assumptions: that audio surrounding the wakeword is informative to determine if the user intended to wake the device and that this audio is independent of the wakeword itself. We show experimentally that on wakewords not included in the training set, our model trained without examples or knowledge of the wakeword is able to achieve verification performance comparable to models trained on 5,000 to 10,000 annotated examples of the new wakeword.Published versio

Tiny-CRNN: streaming wakeword detection in a low footprint setting

https://arxiv.org/pdf/2109.14725.pdfAccepted manuscrip

Tiny-CRNN: streaming wakeword detection in a low footprint setting

https://arxiv.org/pdf/2109.14725.pdfAccepted manuscrip