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Aim/Objective: In this review an attempt is made to compile the intellect promoting drugs mentioned in Bhavaprakasha Nighantu. Materials and Methods: A Comprehensive literature search in Bhavaprakasha Nighantu was conducted to identify the relevant data and analyzed them to present a summary of the content. Discussion: Cognitive insufficiency associate with many of neuropsychiatric conditions and as developmental deficit. Nootropics are used enormously to boost cognitive abilities.

In recent years, the movie business has relied more and more on consumer input to inform choices about production, marketing, and distribution. The growing volume of user-generated content on websites like IMDb and Rotten Tomatoes has rendered manual examination of movie reviews unfeasible. This study's primary instrument for automating sentiment analysis of movie reviews is the Long Short-Term Memory (LSTM) algorithm. Word context recognition and sequential data processing are two areas where LSTM-type recurrent neural networks (RNNs) excel.

In this paper one mathematical model of filtration theory with phase transitions is investigated. When using surface-active substances (surfactants) for the development of oil and gas fields in the reservoir occur sorption processes at the interfaces of individual phases (surfactants and oil, or surfactants and soil). In real processes a finite time is required for achievement equilibrium. Therefore considering the mathematical model was called the mathematical model with phase relaxation.

Recent developments in AI and NLP have evolved the notion of a PVA toward an indistinguishable personal tool for the sake of productivity enhancement. The study targets using one best-of-class NLP model in transformer architecture type, for instance, GPT, in generating PVAs. Such models make it possible to represent natural language highly accurately; the NLP allows PVAs to better comprehend preferences and anticipate what users will likely want. The study explores how NLP-driven PVAs can improve workflows, optimize time management, and offer smart support in the decision-making process.

Effective hospital outpatient visits flow forecasting is an important task for modern hospitals to implement intelligent management of medical resources. Since outpatient visits flow may be nonlinear and dynamic, we propose a hybrid model, which combines motif information and k-nearest-neighbors regressor. Time series motif is a previously unknown pattern appearing frequently in a time series.

Uddanam is the end region of the srikakulam, share with the Odessa border .Its distributed 40 villages in the Kaviti, Kanchili, Sompeta. Most of the people were died in pre ripening age, suffering with chronic kidney diseases (CKD) without based on the age period. We are visited the different village areas and collect the survey samples such as water, food habits, usage of medicals, family back grounds and other habits. The water samples are send into the laboratory and collected the water quality such as PH, Minerals like silica, led and other pollutants.

A feeding trial of range grass and legume rations was conducted at Kipeto in Kajiado County to determine; nutritive value, feed intake and performance of twenty-four Dorper female sheep aged between 12-15 months old. The diets comprised of African foxtail (Cenchrus Ciliaris), Bush rye (Enteropogon macrostachyus) grasses, Lucerne (Medicago sativa), and Desmodium spp legumes. Each six treatment diet had four animals as follows; Diet 1:C. Ciliaris+ Lucerne, Diet 2; C. Ciliaris + Desmodium, Diet 3: Enteropogon macrostachyus + Lucerne, Diet 4:Enteropogon macrostachyus + Desmodium , Diet 5: C.

The integration of artificial intelligence (AI) and structural biology is transforming the field of drug discovery. AI-driven tools, such as AlphaFold, are enabling accurate protein structure predictions, while machine learning algorithms are facilitating the identification of novel drug targets and lead compounds. Structural biology innovations, including cryo-electron microscopy and X-ray crystallography, are providing high-resolution insights into protein-ligand interactions. This convergence of technologies is accelerating drug discovery, reducing costs, and improving accuracy.

Periodontal disease is a prevalent inflammatory condition that affects the supporting structures of teeth, leading to progressive tissue destruction and potential tooth loss. Traditional treatment methods such as scaling and root planing (SRP) and systemic antibiotic therapy have limitations, including inadequate drug penetration and antibiotic resistance. Local drug delivery (LDD) systems have emerged as an effective adjunct to conventional therapy by providing targeted and sustained drug release within periodontal pockets.

The gig economy has emerged as a transformative force in the global labor market, offering flexibility, autonomy, and new income opportunities. In India, the rise of digital platforms has significantly influenced employment patterns, particularly in semi-urban and rural regions. This study explores gig employment trends in North Karnataka, analyzing the socio-economic factors, motivations, challenges, and future prospects of gig workers in the region.