Aesthetic Thoughts in Sudarmanikappiyam

The twenty-first century has given us a mechanized life. Why are we alienated from each other and from each object? Art is considered to be an essential thing in the effort to create this modern life. Aestheticism is one among them. Beauty is spread all over this earth. Everyone is unique in absorbing a particular beauty. Our mind is not always same one time our mind accepts something in a happiest view and other time it accept the same thing sadly. So, happiness and sadness are related to mind and situation. It can vary from person to person. This article explains the poetic pleasure caused in that aesthetic thoughts

Deep learning algorithms and their relevance: A review

Nowadays, the most revolutionary area in computer science is deep learning algorithms and models. This paper discusses deep learning and various supervised, unsupervised, and reinforcement learning models. An overview of Artificial neural network(ANN), Convolutional neural network(CNN), Recurrent neural network (RNN), Long short-term memory(LSTM), Self-organizing maps(SOM), Restricted Boltzmann machine(RBM), Deep Belief Network (DBN), Generative adversarial network(GAN), autoencoders, long short-term memory(LSTM), Gated Recurrent Unit(GRU) and Bidirectional-LSTM is provided. Various deep-learning application areas are also discussed. The most trending Chat GPT, which can understand natural language and respond to needs in various ways, uses supervised and reinforcement learning techniques. Additionally, the limitations of deep learning are discussed. This paper provides a snapshot of deep learning

A triclinic polymorph of 3-nitro­anilinium chloride

The asymmetric unit of the title compound, C6H7N2O2 +·Cl−, contains two independent ion pairs. A monoclinic form of the title compound with only one ion pair in the asymmetric unit has been reported previously [Ploug-Sørensen & Andersen (1986). Acta Cryst. C42, 1813–1815]. In the crystal of the title compound, the components are linked into layers parallel to (001) by inter­molecular N—H⋯Cl hydrogen bonds, with alternating hydro­philic and hydro­phobic regions

Performance of re-ranking techniques used for recommendation method to the user CF- Model

The recent research work for addressed to the aims at a spectrum of item ranking techniques that would generate recommendations with far more aggregate variability across all users while retaining comparable levels of recommendation accuracy. Individual users and companies are increasingly relying on recommender systems to provide information on individual suggestions. The recommended technologies are becoming increasingly efficient because they are focusing on scalable sorting-based heuristics that make decisions based solely on "local" data (i.e., only on the candidate items of each user) rather than having to keep track of "national" data, such as items have been all user recommended at the time. The real-world rating datasets and various assessments to be the prediction techniques and comprehensive empirical research consistently demonstrate the proposed techniques' diversity gains. Although the suggested approaches have primarily concentrated on improving recommendation accuracy, other critical aspects of recommendation quality, such as recommendation delivery, have often been ignored

Characteristic features of the Shannon information entropy of dipolar Bose-Einstein condensates

Calculation of the Shannon information entropy (S) and its connection with the order-disorder transition and with inter-particle interaction provide a challenging research area in the field of quantum information. Experimental progress with cold trapped atoms has corroborated this interest. In the present work, S is calculated for the Bose-Einstein condensate (BEC) with dominant dipolar interaction for different dipole strengths, trap aspect ratios, and number of particles (N). Trapped dipolar bosons in an anisotropic trap provide an example of a system where the effective interaction is strongly determined by the trap geometry. The main conclusion of the present calculation is that the anisotropic trap reduces the number of degrees of freedom, resulting in more ordered configurations. Landsberg's order parameter exhibits quick saturation with the increase in scattering length in both prolate and oblate traps. We also define the threshold scattering length which makes the system completely disordered. Unlike non-dipolar BEC in a spherical trap, we do not find a universal linear relation between S and lnN, and we, therefore, introduce a general quintic polynomial fit rather well working for a wide range of particle numbers

NEW CLASSIFICATION AND COLOUR CODE DEVELOPMENT FOR AN EFFICIENT MEDICAL WASTE SEGREGATION

Medical waste poses serious threat to the environmental health without comprehensive guidelines and efficient management as it contains highly toxic chemicals, pathogenic viruses and bacteria. Therefore, proper handling of medical waste with specialised treatment from its source to final disposal has been a primary concern among medical institute, public and private agencies. The existing medical waste classification in many countries does not contain clear and appropriate segregation, which has created confusion among the medical staff in handling medical waste.  It is pertinent to mention that, World Health Organisation (WHO) guidance recommends different countries to conduct assessments prior to any decision-making process and improve their own guidelines incorporated with recent technologies. Therefore, the objectives of this research are: 1) to develop a new classification of medical wastes by identifying the gaps in the current classes and 2) to suggest colour code for the medical waste segregation that is adopted from the WHO's colour code with few amendments as per the recent technological development. Due to the challenge in managing medical waste, there is an urgent need in developing and adopting comprehensive medical waste segregation classification to separate the medical waste at the source itself. The methodology of classification is aimed at applying a source separation practiced by the medical personnel on the spot and given them awareness on the segregation process. The proposed new classification of medical waste is based on Malaysia's Scheduled Waste Regulations together with European Waste Code. By extracting the best classification from these two regulations and by overcoming the lacuna in them, a new classification is developed for current use. The developed medical waste classification and its colour codes must provide a better segregation and achieve cost saving at waste disposal. The current methods of classification could be extended to research on application of such classification to other parts of the world

Efficacy of partial purified bacteriocin of Pseudomonas aeruginosa on Methicillin-resistant Staphylococcus aureus biofilm

Biofilms are microbial communities that cause serious chronic infections in the environment by enhancing antimicrobial resistance. Bacteria in the biofilm can be up to a thousand times more resistant to antibiotics than the same bacteria circulating in a planktonic state. The emergence of antibiotic-resistant microorganism has led to the exploration of different therapeutic agents like ribosomally synthesized microorganism peptides referred to as bacteriocins. In this study, bacteriocin producing bacteria Pseudomonas aeruginosa isolated from a soil sample. It was found to be effective against Methicillin-resistant Staphylococcus aureus (MRSA). Furthermore the bacteriocin was partial purified by ammonium sulfate, the precipitate has highly effective against MRSA (400AU/mL). MRSA cells were treated with precipitated culture supernatant of P. aeruginosa TA6 was analyzed by FT-IR. The treated and untreated MRSA showed band variations at 682.59 and 3442.15cm-1 corresponding to the alkyl and amide group respectively. Bacteriocin showed marked inhibition activity against the biofilm of MRSA. About 0.05% and 0.02% attachment of biofilm was observed in the presence of 1X MIC (10 μg/mL) and 2X MIC (20 g/mL) respectively. Our results recommend that bacteriocins that make stable pores on biofilm cells are extremely potent for the treatment of MRSA biofilm infections