Devī Māhātmya

The Sanskrit narrative text Devī Māhātmya—“The greatness of the Goddess” (also known as Durgā Saptaśatī and Caṇḍī Pāṭha, henceforth DM)—extols the tripartite triumphs of the all-powerful Goddess (Devī, Ambikā, Caṇḍikā, Durgā) over the universe-imperiling demons. Devī manifests for the protection of the gods, and cosmic order as a whole, in times of dire need. These exploits of this formidable feminine power constitute the first articulation of a Great Goddess within the Indian subcontinent. While the DM equates supreme reality with the feminine Hindu concepts of maya (illusion, magic), śakti (power, force, energy), and prakṛti (material nature), it posits no systematic theory. As only narrative can, the DM instead masterfully interweaves these philosophical strands, along with preexisting feminine faces within the Vedic fold, into the figure of a feminine divine whose greatness surpasses that of the Vedic pantheon, and even that of the cosmic Trimurti comprised of the “Great Gods” Brahma, Vishnu [Skt. Viṣṇu], and Shiva [Skt. Śiva]. The DM serves not only to exalt the Goddess as supreme, but also celebrates her paradoxical nature: she is both one and many, immanent and transcendent, liminal and central, gentle and fierce, motherly and martial. Yet there is no ambiguity in her status as all-powerful. She is utterly invincible. While power is something the gods possess, power is something the Goddess is. It is she, then, who ultimately creates, preserves, and destroys the universe and all beings within it. Variously dated between the 4th and 8th century ce, the DM finds a home as part of the Mārkaṇḍeya Purāṇa, comprising chapters 81–93 thereof. Far from a textual relic, the DM is recited as liturgy in goddess temples, during individual daily spiritual practice, and at temples and homes especially during the autumnal navaratra (“nine nights”) Hindu Goddess festival, commonly known as Durgā Pūjā. The DM independently circulates not only within this rich liturgic life, but as a standalone mythological, philosophical, and theological authority on the Hindu Goddess. In this respect, it is not dissimilar from the Bhagavad Gita’s circulation independent of the Mahābhārata in which it is couched. The DM’s recitation is considered beneficial for listeners and reciters alike. As exemplified and overtly stated in the DM, engaging the glories of the Goddess invariably secure her protection and benediction.

A Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading

COVID-19 is by now one of the deadliest public health issues that as per the last announcement of the World Health Organization up to January 21, 2021, has infected more than 108,904,983 people and claimed more than 2,398,339 lives worldwide. Although different vaccines have proved and distributed one after another, several new mutated viruses have been detected, such as the new COVID-19 variant detected in the UK. Since new variants can spread so faster than the previous one and many other strains may come, it is necessary to focus on the effective methods that are able to predict the spreading trends quickly. Regarding the considerable progress in Artificial Intelligence (AI), utilizing AI-based techniques with a concentration on Deep Learning (DL) and Machine Learning (ML), which can forecast complex trends like epidemiological issues, are proposed to conquer the problems existing in statistical or conventional techniques. In this respect, the present paper reviews the recent peer-reviewed published articles and preprint reports about solutions that could efficiently address COVID-19 spread with a focus on the state-of-the-art and AI-based methods. The results revealed that methods under discussion in this paper have had significant potentials to predict epidemic diseases like COVID-19 as well as its mutations; however, there are still weaknesses and drawbacks that fall in the domain of future research and scientific endeavors.

Structural And Functional Analysis of CCT Family Genes In Pigeonpea

Pigeonpea (Cajanus cajan (L) Millsp) is a short-day plant in which the flowering is highly sensitive to photoperiod. A better understanding of the genes modulating photoresponse and flowering time is critical to developing photoperiod insensitive pigeonpea cultivars for cultivation across the seasons. We identified 33 CCT family genes (CcCCT1- CcCCT33) in C. cajan and localized them on 10 chromosomes and nine genomic scaffolds. The structural analysis of CCT family genes revealed a considerable variation in length and distribution of exons and introns. Based on the type of domain(s), we classified the CCT family genes into CCT motif family (CMF) type, CONSTANS like (COL) type, Pseudo-response Regulator (PRR) type, and GATA and tifi containing CCT (GTCC) type. The CCT family genes of C. cajan exhibited an extensive orthologous relationship with the CCT family genes of other legume species. We also observed significant sharing of CCT family genes among the legume species. Glycine max exhibited the maximum sharing of CCT family genes with C. cajan. The analysis of CCT family proteins-based phylogenic relationships revealed a general congruence with the legumes' taxonomic relationships. The expression analysis of CCT family genes of pigeonpea demonstrated that CcCCT4 and CcCCT23 are the active CONSTANS (CO) in ICP20338. In contrast, only CcCCT23 is active in MAL3, explaining the differential response of ICP20338 and MAL3 to photoperiod. The chromosomes of C. cajan contain a variable number of CCT family genes. A majority of these genes are localized in the centromeric regions. The COL type CCT genes are structurally highly diverse and contain a variable number of B-box domains. The CCT family genes of different legume species exhibit all three kinds of relationships: one-to-one, many-to-one, and many-to-many types. The photoperiod insensitive cultivar ICP20338 contains CcCCT4 and CcCCT23, while the photoperiod sensitive cultivar MAL3 contains only CcCCT23 as active CONSTANS (CO), which may be the plausible reason for their differential photoperiod response.

Use of Long Short-Term Memory for Remaining Useful Life and Degradation Assessment Prediction of Dental Air Turbine Handpiece in Milling Process

The complexity of the internal components of dental air turbine handpieces has been increasing over time. To make operations reliable and ensure patients’ safety, this study established long short-term memory (LSTM) prediction models with the functions of learning, storing, and transmitting memory for monitoring the health and degradation of dental air turbine handpieces. A handpiece was used to cut a glass porcelain block back and forth. An accelerometer was used to obtain vibration signals during the free running of the handpiece to identify the characteristic frequency of these vibrations in the frequency domain. This information was used to establish a health index (HI) for developing prediction models. The many-to-one and many-to-many LSTM frameworks were used for machine learning to establish prediction models for the HI and degradation trajectory. The results indicate that, in terms of HI predicted for the testing dataset, the mean square error of the many-to-one LSTM framework was lower than that that of a logistic regression model, which did not have a memory framework. Nevertheless, high accuracies were achieved with both of the two aforementioned approaches. In general, the degradation trajectory prediction model could accurately predict the degradation trend of the dental handpiece; thus, this model can be a useful tool for predicting the degradation trajectory of real dental handpieces in the future.

Feeding India : Connection between Donor and Charity to Solve Needs

There are many charity related mobile application available for both charity and donor, Concerns of these type of applications are to help to feed child in need, to contact different charities, some of them provide shelter to the needy one and many more. In this project we identified the drawbacks of already build applications and try to overcome that and some new and effective functionality. Our application .i.e., Feeding India is basically for charity and donor, mainly focuses on small charities. In this Charity authority can upload details of the charity like its location, description etc., they can also update their requirement as per their situation. Donor can see the requirement of the charity and if he/she wants to donate then he can directly contact with the charity, as charity provides the mobile number of the charity, and in this application we provide a chat box for the chatting between charity and donor as per their comfort ability. As we come across the situation like pandemic in this condition 82 % of total population of India shows positive vibe over donation, so in this condition charity and donor decides the location and make the donation.

Аerodynamic drag at small Reynolds numbers and the method of calculation of the air velocity in one- and many-row finned beams with an exhaust shaft

The periodic switching of fans at certain ambient air temperatures and a constant power is a promising method to enhance the energy operating efficiency of air-cooled heat exchangers. Equipping these heat exchangers with devices increasing the propulsion (for example, an exhaust shaft) facilitates the intensification of heat transfer due to strengthening the free movement of air by lifting forces. Meanwhile, the heat exchanger is used at the mixed convection regime. To make the thermal design of air-cooled heat exchangers with an exhaust shaft, we must have data on the aerodynamic drag of tube beams at small Reynolds numbers (Re < 1000) that permit to calculate the air flow velocity. However, at present, studies on the aerodynamic drag at mixed convection are virtually missing. Moreover, it is necessary to take into account the influence of external air flows on the gravitational pull created by the shaft since air-cooled heat exchangers are designed for outdoor use. Using the results of the experimental investigation, we obtained information about the mass-exchange processes in the finned beam and the exhaust shaft, developed a method for calculating the air velocity in one- and many-row finned beams with the exhaust shaft and determined their aerodynamic drag at small Reynolds numbers. We also established the influence of external air flows on the gravitational pull created by the shaft.

Object detection and tracking in video sequences: formalization, metrics and results

One of the promising areas of development and implementation of artificial intelligence is the automatic detection and tracking of moving objects in video sequence. The paper presents a formalization of the detection and tracking of one and many objects in video. The following metrics are considered: the quality of detection of tracked objects, the accuracy of determining the location of the object in a frame, the trajectory of movement, the accuracy of tracking multiple objects. Based on the considered generalization, an algorithm for tracking people has been developed that uses the tracking through detection method and convolutional neural networks to detect people and form features. Neural network features are included in a composite descriptor that also contains geometric and color features to describe each detected person in the frame. The results of experiments based on the considered criteria are presented, and it is experimentally confirmed that the improvement of the detector operation makes it possible to increase the accuracy of tracking objects. Examples of frames of processed video sequences with visualization of human movement trajectories are presented.

Self as One and Many Narratives

There are different approaches to the narrative self. I limit myself to one approach that argues narratives have an important role to play in our lives without it being true that a narrative constitutes and creates the self. My own position is broadly sympathetic with that view, but my interest lies with the question of whether there is truth in the claim that to create one’s self-narrative is to create oneself. I argue that a self-narrative may be multiply realised by the inner self—impressions and emotions—and the outer self—roles in work and life. I take an optimistic attitude to the idea that narrative provides a metaphor that may stimulate insight into the nature of self if we accept a plurality of narrative selves. This paper mines a vein of research on narratives for insights into selves without being bewitched into accepting implausible conclusions.

OUR SOUL MAKES US WHO WE ARE

ABSTRACTA ‘complex’ theory of personal identity analyses a person P2 being the same as an earlier person P1 in terms of some particular degree of physical or mental continuity between them. All such theories are open to an objection that the postulated degree of continuity is an arbitrary one, and many of them are open to the objection that more than one subsequent person could satisfy them. Necessarily, any subsequent person is either totally the same person as P1 or not at all the same as P1. P2 is identical with P1 if and only if P2 has the same (non-physical and indivisible) soul as P1.