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We have studied the effect of amino acids on electron attachment properties of DNA nucleobases, taking cytosine as a model system. The equation of motion coupled cluster theory with an extended basis set has been used to simulate the electron-attached state of the DNA model system. Four selected amino acids, Arginine, Alanine, Lysine, and Glycine which form a major component of histone proteins are considered to investigate their role in electron attachment to DNA nucleobase. The electron attachment to cytosine in all the cytosine-amino acid dimer complexes follows a doorway mechanism, where the electron gets transferred from initial dipole-bound doorway state to the final nucleobase-bound state through the mixing of electronic and nuclear degrees of freedom. In higher amino acid concentration, amino acid-bound state acts as the doorway state, where the initial electron density is localized on the amino acid, away from the nucleobase. This leads to the physical shielding of nucleobase from the incoming extra electron. At the same time, the presence of amino acids can increase the stability of nucleobase-bound anionic state, which can suppress the dissociative electron attachment induced sugar-phosphate bond breaking.

Pink bollworm, Pectinophora gossypiella (Saunders) originates from South Asia and has spread across major cotton-growing regions. The pest is considered to be the most destructive and of economic concern across the globe. In India, the pest has developed resistance to dual Bt toxins and its concealed feeding nature makes the target sites almost inaccessible for the insecticide. In view of this issue, there is need to identify a suitable alternative for its management. In this context, semiochemicals serve as one of the best eco-friendly options. These chemical substances or mixtures broadcast messages for the purpose of communication. Semiochemicals may be released from eggs, faecal pellets, tarsal segments, scales, anal tufts and/or any insect components that reduce the intra/interspecific competition for shared resources such as food, mating, oviposition site etc. Accurate identification of the semiochemical compounds and their proportion in natural blends that arouse a strong behavioural response in insects, requires a thorough knowledge. Therefore in the present study, we tried to explore the chemicals present in eggs, faecal pellets and whole-body wash extracts of mated female. Seven compounds were identified from a methanolic extract of faecal-pellet samples, namely hexadecanoic acid, 9,12-octadecadienoic acid, 9-octadecenoic acid and their methyl esters along with methyl stearate. However, only four methyl-esterified forms were found in common in eggs and female body wash extract. This clearly shows that the compounds remain constant and conserved for the species but the role of these compounds needs to be demonstrated.

Leaf hopper, Amrasca biguttula biguttula, and whitefly, Bemisia tabaci are the most economical sucking pests of cotton (Gossypium spp.) causing stunting, shortening of internodes and transmitting plant pathogenic viruses. The management of these pests is primarily based on application of synthetic pesticides, which not only triggers resistance to insecticide molecules but also contributes to environmental pollution. We aimed to study the attraction of A. biguttula and B. tabaci toward six natural essential oils (NEOs) viz., sandalwood, basil, grapefruit, rose, clove and mint oils using yellow sticky traps under field conditions. The results showed that traps treated with sandalwood and basil oils attract significant numbers of A. biguttula and B. tabaci as compared to the other traps during the seasons 2016-2017 and 2017-2018. Further, the Attractive Index (AI) of sandalwood and basil oils to these pests were significantly higher (i.e., >1). In addition, the traps treated with sandalwood and basil oils caught relatively lower numbers of natural enemies. The GC-MS analysis specified the presence of vital attractive volatile compounds, viz., santalene, funebrene and pentadecane in sandalwood; and linalool, β-farnesene, caryophyllene and methyl eugenol in basil oil. Based on the results obtained it can be concluded that application of sandalwood and basil oils increased the attracting efficacy of sticky traps for the management of A. biguttula and B. tabaci in cotton.

The present study intends to analyze the factors affecting employee turnover intention. For this, an exhaustive literature review was done. Fifteen elements were shortlisted that directly affect turnover intention, i.e., Leadership styles, Demographic variables, Salary, Organizational culture, Job stress, Organizational commitment, Organizational Justice, Organizational climate, Promotion opportunities, Job Satisfaction, and Work pressure. Further, the study aims to gauge how these factors contributed to turnover intentions amid pandemics.

The architecture of IoT healthcare is motivated towards the data-driven realization and patient-centric health models, whereas the personalized assistance is provided by deploying the advanced sensors. According to the procedures in surgery, in the emergency unit, the patients are monitored till they are stable physically and then shifted to ward for further recovery and evaluation. Normally evaluation done in ward doesn’t suggest continuous parameters monitoring for physiological condition and thus relapse of patients are common. In real-time healthcare applications, the vital parameters will be estimated through dedicated sensors, that are still luxurious at the present situation and highly sensitive to harsh conditions of environment. Furthermore, for real-time monitoring, delay is usually present in the sensors. Because of these issues, data-driven soft sensors are highly attractive alternatives. This research is motivated towards this fact and Auto Encoder Deep Neural Network (AutoEncDeepNN) is proposed depending on Health Framework in the internet assisting the patients with trigger-based sensor activation model to manage master and slave sensors. The advantage of the proposed method is that the hidden information are mined automatically from the sensors and high representative features are generated by multiple layer’s iteration. This goal is consistently achieved and thus the proposed model outperforms few standard approaches which are considered like Hierarchical Extreme Learning Machine (HELM), Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). It is found that the proposed AutoEncDeepNN method achieves 94.72% of accuracy, 41.96% of RMSE, 34.16% of RAE and 48.68% of MAE in 74.64 ms.

Abstract: The gut microbiota has been linked to the pathogenesis of stress-related illnesses in a growing number of research. Chronic stress may alter behaviour, cognition, biochemistry, and gut flora. Gut bacteria may impact the brain and body by communicating with the host through the microbiota-gut-brain axis (mostly immunological, neuroendocrine, and neurological pathways). It is thought that taking probiotics might help with persistent stress-induced depression. Lactobacillus helveticus is a commonly used industrial thermophilic starter in manufacturing a variety of cheeses by fermenting milk. An increasing amount of scientific data suggests that strains of L. helveticus exhibit health-promoting qualities and their technical significance. In this review, we summarize the findings of several main literature publications on the capacity of L. helveticus strains to affect human health favourably

Oxidation of methionine leads to the formation of methionine S-sulfoxide and methionine R-sulfoxide, which can be reverted by two types of methionine sulfoxide reductase (MSR): MSRA and MSRB. Though the role of MSR enzymes has been elucidated in various physiological processes, the regulation and role of MSR in seeds remains poorly understood. In this study, through molecular, biochemical, and genetic studies using seed-specific overexpression and RNAi lines of OsMSRB5 in Oryza sativa, we demonstrate the role of OsMSRB5 in maintaining seed vigor and longevity. We show that an age-induced reduction in the vigor and viability of seeds is correlated with reduced MSR activity and increased methionine sulfoxide (MetSO) formation. OsMSRB5 expression increases during seed maturation and is predominantly localized to the embryo. Further analyses on transgenic lines reveal the role of OsMSRB5 in modulating reactive oxygen species (ROS) homeostasis to preserve seed vigor and longevity. We show that ascorbate peroxidase and PROTEIN l-ISOASPARTYL METHYLTRANSFERASE undergo MetSO modification in seeds that affects their functional competence. OsMSRB5 physically interacts with these proteins and reverts this modification to facilitate their functions and preserve seed vigor and longevity. Our results thus illustrate the role of OsMSRB5 in preserving seed vigor and longevity by modulating ROS homeostasis in seeds.

With the aim to make India as the hub for Clinical Trials and promote a transparent and faster drug approvals process for the early availability and accessibility of drugs in the country the New Drugs and Clinical Trials Rules were published on March 19, 2019. The subsequent amendments were also proposed from time to time from March 2019 till June 2022 to make the regulations and the processes more robust. The ‘New CT Rules’ replaced the Part XA and Schedule Y of the Drugs and Cosmetics Rules 1945. The NDCT rules will be applicable to all Investigational New Drugs, Biologicals, New Drugs, and Subsequent New Drugs. These rules also laid down the procedures for the effective working of Ethics Committees. The ‘New Rules’ comes up with many desirable changes that will bring transparency, predictability and well defined requirements to speed up the drug approval process in India. The New CT Rules provides a defined protocol so that decision making becomes uniform and that mainly focuses on the Quality & Safety of Clinical Trials. With these rules in place the regulatory system aims to make India a global clinical hub, approvals for the drugs with predictable, transparent and effective regulations and to make faster availability of new drugs to Indian population. In this article, we have highlighted the key developments/changes in the revised regulatory pathway for clinical trials in India and brought the comparative analysis of what has changed from the previous rules till date as subsequent amendments were also notified from time to time. Also, the present work aims at providing the impact of NDCT rules 2019 and subsequent amendments on approval process of drugs for life threatening diseases, unmet medical need and rare Diseases like Cancer. By these rules in place Indian pharmaceutical industry would be able to bring a number of medicines which could be promising and effective in treating this pandemic for which no country in the world has been able to find any cure so far. The clause for local CT waiver, accelerated approval, reduced times for CT application is like a boon for developing new drugs in India. This will ensure faster availability of drugs in the country for life threatening diseases, unmet medical needs and rare disease like Cancer. Thus, proving it right that NDCT rules and subsequent amendments brought to the rules will be developing the country’s reputation across the globe and will harmonize the regulations in line with the International standards.

Cancer is the leading cause of death worldwide and is a well-known fact that it can be cured if detected and treated early. Cancer treatment has evolved from conventional therapies like vinca alkaloids, photodynamic and radiation therapy, chemotherapy to immunotherapy. Recent advances in tumour agnostic therapies based on cancer genetics and molecular features has led to a single drug treating different types of cancers. Next Generation sequencing (NGS) represents an effective way to gather large amount of genomic information about a cancer. The concept of precision medicine goes along with an understanding of the cancer genome as determined by NGS. Thus with an array of cancer diagnosis and treatment options the marketing approval process globally is challenging. This is mainly due to lack of harmonization of guidelines. This review evaluates the approval process of oncology drugs in US, EU and India. Recent USFDA initiatives like Project Orbis involving multi country collaboration and real time oncology review while EU PRIME and WHO proposed reliance pathway are several global initiatives which accelerates assessment process. New NDCT rules introduced in India in 2019 is one of the key step towards faster availability and accessibility of Cancer drugs in the country. Countries with high resource settings like USA and EU have recognized this and have made several initiatives to provide early access to patients. USA has several pathways for speeding up the regulatory approval process for oncology drugs. India has recently came up with New Drugs and Clinical Trial rules, 2019 (NDCT rules 2019) which laid down the provisions of Provisions of Accelerated approval, Expedited review and Clinical trial waivers ensures faster availability and accessibility of cancer drugs in the country. Although a lot of initiatives have already been taken in this direction still there is a strong need to harmonize the requirements globally for faster availability and accessibility of drug in the country for the much-needed patients.

The effect of four cultivated species of cotton on the oviposition behaviour and/or preference of pink bollworm, Pectinophora gossypiella was studied under laboratory conditions. Blends of volatile organic compounds from squares of all four species of cotton (Gossypium arboreum, G. herbaceum, G. hirsutum, G. barbadense) were identified using gas chromatography-mass spectroscopy (GC-MS). Differences were observed across the species with respect to the relative proportion of identified compounds, viz., pinene, carene, caryophyllene, humulene and γ terpinene. In order to evaluate the ovipositional preference of pink bollworm, a series of no-choice and choice experiments were conducted using square extract, artificial blend-treated muslin cloth and cotton twig as substrate for oviposition. All four species of cotton had differences in the volatile blend composition that were reflected in the mean number of eggs laid under no-choice and choice experiments. A substantially higher number of eggs was laid on cotton twig under both no-choice and choice experiments than on square extract and artificial blend treatments. In both no-choice and choice experiments G. herbaceum was found to be the least preferred for egg laying compared to the other three species.

The aim of this paper is to design a convenient system that is helpful for the people who have hearing difficulties and in general who use very simple and effective method; sign language. This system can be used for converting sign language to voice and also voice to sign language. A motion capture system is used for sign language conversion and a voice recognition system for voice conversion. It captures the signs and dictates on the screen as writing. It also captures the voice and displays the sign language meaning on the screen as motioned image or video Keywords: Motioned Image, Sign Language Converter, Voice Recognition.

Chronic elevation of sugar and oxidative stress generally results in development of advanced glycation end products (AGEs) in diabetic individuals. Accumulation of AGEs in an individual can give rise to the activation of several pathways that will ultimately lead to various complications. Such AGEs can also be prepared in an in vitro environment. For an in vitro preparation of advanced glycation end products (AGEs), proteins, lipids, or nucleic acids are generally required to be incubated with reducing sugars at a physiological temperature or higher depending upon the protocol optimized for its preparation. Certain other factors are also optimized and added to the buffer to hasten its preparation or alter the properties of prepared AGEs. Through this review, we intend to highlight the various studies related to the experimental procedures for the preparation of different types of AGEs. In addition, we present the comparative study of methodologies optimized for the preparation of AGEs.

An advanced hybrid algorithm (haDEPSO) proposed in this paper for engineering design optimization problems. It integrated with suggested advanced differential evolution (aDE) and particle swarm optimization (aPSO). In aDE introduced a novel mutation, crossover and selection strategy, to avoiding premature convergence. And aPSO consists of novel gradually varying parameters, to escape stagnation. So, convergence characteristic of aDE and aPSO provides different approximation to the solution space. Thus, haDEPSO achieve better solutions due to integrating merits of aDE and aPSO. Also, in haDEPSO individual population is merged with other in a pre-defined manner, to balance between global and local search capability. Proposed hybrid haDEPSO as well as its integrating component aDE and aPSO has been applied to five engineering design optimization problems. Numerical, statistical and graphical experiments (best, worst, mean and standard deviation plus convergence analysis) confirm the superiority of the proposed algorithms over many state-of-the-art algorithms.

Aim: To evaluate to anti-anxiety effectof probiotics and angiotensine receptor blocker in caffeine induced anxiety rat model. Methodology: The study was conducted in six groups (n=6). Caffeine was given intraperitoneally at a dosage of 25 mg/kg each day for 14 days. Blood samples, body temperature, and glucose measurements were taken prior to the trial. Caffeine was given intraperitoneally to G1-G5 mice at a dosage of 25 mg/kg. For groups 3 and 4, a probiotic formulation was given orally following the caffeine dosage. In group 5, a probiotic topical gel (30 mg) was given topically to the animals' foreheads. Diazepam (1 mg/kg) was given to group 2 animals. Results: The body weight was not changed significantly throughout the study period in all the groups. Mortality and clinical signs were not observed during study. When compared to the anxiety control group, there was no statistical significance in either of the groups' glucose levels. There was no statistical significance in Hemoglobin (Hb) levels of animals on day 14 when we compare with anxiety control group. The changes in SGOT and SGPT levels were not found to be statistically significant. There was no statistical significance in rectal temperature of animals. There was no statistical significance in all the groups in hot plate readings on day 7 when compared with anxiety control group. Whereas there was significance increase in latency time (time spent) was observed in group 2 & group 6 when compared to anxiety control group on day 14. Probiotic high dosage and probiotic topic gel treated animals similarly spent significantly more time in open arms than anxiety control animals (P< 0.01). High serotonin levels were observed In the anxiety control rats .however it reduced in treatment groups. Conclusion: The study concludes the potential benefit of probiotics and Losartan for the treatment of caffeine induced anxiety.

Validation of synthetic storm technique (SST) has been done for prediction of attenuation due to rain over a hilly, high-rainfall, tropical location, Shillong (25°N, 91°E), India. In this letter, considering one year of rain attenuation and rain rate data shows that SST predicted attenuation overestimates while comparing the available experimental result. Storm speed has been found to have no significant effect on the attenuation prediction by SST. Second-order rain attenuation prediction, i.e., prediction of fade slope, has also been studied. Fade slope is found to have been overestimated by SST for all categories of rain events at 20.2- and 30.3-GHz frequency. Exceedance plot of fade duration by SST shows an overestimation for higher frequency and underestimation for lower frequency.

Due to the accelerated evolution of insecticide resistance in agricultural pests, conventional insecticides have been used indiscriminately, which has had severe negative effects on the soil, environment, and public health. In several important insect developmental processes, including growth, development, metamorphosis, and reproduction, juvenile hormones (JHs) are crucial. The JH biosynthetic pathway enzymes' higher insect specificity gives them an edge over traditional insecticides as promising and relatively safer pest management targets. The farnesol dehydrogenase enzyme (HaFDL), a significant rate-limiting enzyme of the JH biosynthetic pathway, is thus described in the current study as a potential insecticidal target for managing the polyphagous agricultural pest Helicoverpa armigera. Geranylgeraniol (GGol), a natural substrate analogue, was tested for its potential. In isothermal titration calorimetry (ITC), it demonstrated a good binding affinity for HaFDL and later displayed moderate enzyme inhibition in GC-MS, indicating that GGol could be used as a starting scaffold for future inhibitor screening. Additionally, the diet that included geranylgeraniol oral feeding had a negative impact on larval growth and development, resulting in a markedly slower rate of weight gainand aberrant pupal and adult morphogenesis. To our knowledge, the study offers the first account of geranylgeraniol's assessment as a potential HaFDL inhibitor. Our research also demonstrated that HaFDL is a viable insecticide target for the control of H. armigera.

This chapter focuses on the division and location of brain deformities such as tumors in magnetic resonance imaging (MRI) through Chan-Vese active contour segmentation. Brain tumor division and identification is a major test in the area of biomedical picture processing. To detect the size and location of the tumor, various techniques are available, but active contour gives accurate knowledge of the region for segmentation. Chan-Vese Active contour method provides independent, robust and more flexible segmentation. In this chapter, firstly we used preprocessing technique in which noise and unused parts of the brain and skull are removed, for this we proposed the skull stripping method. Then, we applied feature extraction to enhance the image intensity and quality, and lastly, used Chan-Vese active contour with a level set image segmentation technique to detect the tumor. The tumor area was calculated after tumor detection.