The 11th Dimensional super power man from the short story Lion's Tail

Dr. C.S. Lakshmi uses the pen name Ambai for publishing Tamil fiction. Ambai, a Sahitya Akademi Award winner in 2021, has written works with feminist themes. A skilled short story writer. It is only possible for a few writers to mix science and novel short stories. Embedding modern scientific theories in the short story, Ambay has created a short story called "Lion's Tail" without compromising his literary taste. This short story gives an understanding of the eleventh dimension related to physics theories such as the Theory of Everything, M Theory, and String Theory. Are we still alive after the death of Mr. Haror, a Germany-based Sri Lankan writer named Rajshiva, on Facebook in 2014? Ambai's narration has helped with the article posted under the title. This article was reposted the same year by Saravana Dev in the Ekara Tamil Repository. The earth we live on has three dimensions. Scientists like Einstein confirmed the fourth dimension of spacetime. His Theory of Everything was followed by String Theory and M Theory. Physicists believe that eleven dimensions are the final result of all these theories. They suggest that life may exist in this first dimension and that they may have different energies than humans living on Earth. A cyborg is a combination of man, animal, and machine. It can also be considered a ghost. The aim of the article is to show that the story of "Lion's Tail" is written with the hypothesis that a creature in the eleventh dimension might be like a cyborg. In this short story, concepts and details about the eleventh dimension, the nature of the creatures living there, and the morphology, character, and power of the character Achyuth, who is a cyborg, are explained. M theory and string theory rank as nominal theories. In this short story, concepts and details about the eleventh dimension, the nature of the creatures living there, and the characters are explored. The power of the character Achyut, who is a cyborg, is explained. M theory and string theory rank as nominal theories. Mythical characters inherit concepts of birth and death, and concepts of female space are also seen. The short story is an analogy that takes science and combines it with traditional ideas

Relationship between caries status (caries and caries free group), salivary flow rate, buffering capacity, salivary mutans streptococcus count and sugar intake among 3-5 year old preschool children

INTRODUCTION : In a period marked by brilliant achievements in the prevention and treatment of disease, dental caries still remains one of the most widespread affliction in modern man. Dental caries is a slowly progressing disease that manifests as a result of mineral imbalance between the tooth and the environment. It is something of a paradox that teeth can be destroyed relatively rapidly in vivo and are almost indestructible postmortem. While it is true that diseases of teeth do not normally kill humans, they certainly affect the person’s efficiency and they can, if neglected, provoke serious conditions elsewhere in the body. Their contribution to the general fund of human misery is legendary. The disease progression can be stopped if the factors responsible are nullified in the initial stage. It is thus important to identify high caries risk markers as well as individuals to implement preventive and interceptive procedures. Dental caries is a multifactorial disease in which there is interplay of three principle factors; the host (primarily the saliva and teeth), the microflora, and the substrate or diet. In evaluating the caries risk of a patient a number of factors must be taken into consideration. Salivary counts of mutants streptococcus combined with the measurement of salivary flow rate and buffer effect and sugar consumption are frequently used for diagnostic and predictive purpose in cariology. AIMS AND OBJECTIVES : 1. To study the relation between caries status, salivary flow rate, salivary buffering capacity, mutans streptococcus count, and sugar intake among 3-5 year old pre school children. 2. To correlate the frequency of sugar intake with caries experience of the individual. 3. To determine the relation between salivary flow rate and salivary buffering capacity with caries experience. 4. To compare the levels of s.mutans with the caries experience of the individual. 5. To evaluate the relationship, if any between microbial parameter and sugar index. 6. To evaluate the relationship, if any between microbial parameter and salivary parameters. 7. To identify the caries risk group and to implement preventive strategies on the primary dentition so as to prevent the transmission of an infection from the primary to permanent dentition, subsequently interfering with or delaying the occurrence of decay. MATERIALS & METHODOLOGY : The present study comprised of 100 healthy children in the age group of 3-5 years from local nursery schools in Chennai. All children were in the primary dentition stage. A proforma was prepared to record the data. Children with the history of antibiotic consumption within last 3 months or were receiving any other antimicrobial agents concurrent with this study period, fluoride use or living in fluoridated area, any prior dental treatment were not included in the study. This was possible to study the natural occurrence of dental decay that was unclouded by the effects of treatment and preventive measures 7. MATERIALS : Materials used for the study were given below. Interview : Questionnaires in English. Oral examination : 1. Hand gloves. 2. Mouth mask. 3. Mouth mirror. 4. Explorer or Ash’s number 54 probe. 5. 2x2 gauze piece. Biochemical study 1. Sugarless chewing gums. 2. Sterile disposable saliva collecting cups. 3. Pipette. 4. Stop watch. 5. pH indicator paper strips with colour coded chart. Microbiological study : 1. Inoculating loops. 2. Pipette. 3. Conical flasks. 4. Sterilizer. 5. Distilled water. 6. Sterile Petri dish. 7. Refrigerator. 8. Incubator. 9. Candle jar. 10. Hand magnifying lens. 11. Microscope. 12. Microscopic glass slide. Chemicals and solutions : 1. Mitis salivarius bacitracin agar medium. 2. Saline. 3. Gention violet 4. Gram’s iodine. 5. Absolute alcohol. 6. Dilute carbon fusion 7. Sorbitol. 8. Mannitol. 9. Starch. RESULTS : The present study was carried out to evaluate the relation between caries experience and sugar intake, salivary flow rate, salivary buffering capacity, salivary mutans streptococcus count and the possible inter relationship between these variables in 50 caries and 50 caries free, 3 – 5 years old preschool children. CONCLUSION : The present study was undertaken in the local nursery schools of Chennai among 3 – 5 year old preschool children to evaluate the sugar intake, the microbial and nonmicrobial parameters and its relation with the caries experience and if any interrelationship between these variables. The following conclusion were drawn from the study: 1. There was a highly significant relation between frequency of sugar consumption and caries experience. (P < 0.001) 2. There was a inverse relation between salivary parameters (salivary flow rate, buffering capacity) and the caries experience. (P < 0.001) 3. There was a direct relation between microbial parameter (salivary mutans streptococcus count) and the caries experience. (P < 0.001) 4. There was a strong relation between salivary parameters (salivary flow rate, buffering capacity) and the streptococcus mutans count. (P < 0.001) 5. There was a weak relation between frequency of sugar consumption and the streptococcus mutans count. (P = 0.07) 6. There was a direct relation between salivary flow rate and salivary buffering capacity. (P < 0.001) The need to search for risk indicators for dental caries in order to target risk groups has been one of the subjects of a recent conference on the assessment of risk group in dentistry. These parameters evaluated in the current study could be used to discriminate highly infected subjects from non infected subjects and therefore may be indicators of an increased or reduced risk for dental decay. After an initial diagnosis of risk indicators, the high risk groups are identified and therapy should be directed to preventive strategies such as the use of fluorides, sealants and other antimicrobial supplements. Further research is needed to identify the other possible risk indicators and its relation with the caries experience

Intelligent Intrusion Detection System using Enhanced Arithmetic Optimization Algorithm with Deep Learning Model

The widespread use of interoperability and interconnectivity of computing systems is becoming indispensable for enhancing our day-to-day actions. The susceptibilities deem cyber-security systems necessary for assuming communication interchanges. Secure transmission needs security measures for combating the threats and required developments to security measures that counter evolving security risks. Though firewalls were devised to secure networks, in real-time they cannot detect intrusions. Hence, destructive cyber-attacks put forward severe security complexities, requiring reliable and adaptable intrusion detection systems (IDS) that could monitor unauthorized access, policy violations, and malicious activity practically. Conventional machine learning (ML) techniques were revealed for identifying data patterns and detecting cyber-attacks IDSs successfully. Currently, deep learning (DL) methods are useful for designing accurate and effective IDS methods. In this aspect, this study develops an intelligent IDS using enhanced arithmetic optimization algorithm with deep learning (IIDS-EAOADL) method. The presented IIDS-EAOADL model performs data standardization process to normalize the input data. Besides, equilibrium optimizer based feature selection (EOFS) approach is developed to elect an optimal subset of features. For intrusion detection, deep wavelet autoencoder (DWAE) classifier is applied. Since the proper tuning of parameters of the DWNN is highly important, EAOA algorithm is used to tune them. For assuring the simulation results of the IIDS-EAOADL technique, a widespread simulation analysis takes place using a benchmark dataset. The experimentation outcomes demonstrate the improvements of the IIDS-EAOADL model over other existing technique

Data Privacy and Security in Cloud Computing Environments

The globe has adopted the cloud computing environment, which organizes data and manages space for data storage, processing, and access. This technical development has brought up questions regarding data security and privacy in cloud computing environments, though. The purpose of this abstract is to offer a thorough review of the issues, solutions, and future developments related to data privacy and security in cloud computing. Keeping data private and secure while it is being processed and stored in outside data centres is the main difficulty in cloud computing systems. The abstract discusses the dangers of insider threats, data breaches, and illegal access to sensitive information. It digs further into the legal and compliance criteria that businesses must follow in order to protect user data in the cloud. In result, data privacy and security in cloud computing environments remain critical concerns for organizations and individuals alike. In the survey the overview of how to use cloud storage globally and its challenges, solution and future innovation is well explained. It underscores the importance of robust encryption, access controls, user awareness, and emerging technologies in safeguarding data in the cloud. By addressing these concerns, organizations can leverage the power of cloud computing while maintaining the confidentiality, integrity, and availability of their data

Masses of Multiquark Droplets

The mass formulae for finite lumps of strange quark matter with $u$, $d$ and $s$ quarks, and non-strange quark matter consisting of $u$ and $d$ quarks are derived in a non-relativistic potential model. The finite-size effects comprising the surface, curvature and even, the Gauss curvature were consistently obtained, which shows a converging trend. It is found that there is a possibility for the formation of metastable strangelets of large mass. The model predicts low charge to mass ratio as the characteristic signature of strange matter in agreement with the relativistic studies. This study also yields an independent estimate for the bag energy density $B$, which is in agreement with the M.I.T bag model value.Comment: 24pages + 5 figures available upon request,Latex,IP/BBSR/93-3

Phosphoproteomics of retinoblastoma:A pilot study identifies aberrant kinases

Retinoblastoma is a malignant tumour of the retina which most often occurs in children. Earlier studies on retinoblastoma have concentrated on the identification of key players in the disease and have not provided information on activated/inhibited signalling pathways. The dysregulation of protein phosphorylation in cancer provides clues about the affected signalling cascades in cancer. Phosphoproteomics is an ideal tool for the study of phosphorylation changes in proteins. Hence, global phosphoproteomics of retinoblastoma (RB) was carried out to identify signalling events associated with this cancer. Over 350 proteins showed differential phosphorylation in RB compared to control retina. Our study identified stress response proteins to be hyperphosphorylated in RB which included H2A histone family member X (H2AFX) and sirtuin 1. In particular, Ser140 of H2AFX also known as gamma-H2AX was found to be hyperphosphorylated in retinoblastoma, which indicated the activation of DNA damage response pathways. We also observed the activation of anti-apoptosis in retinoblastoma compared to control. These observations showed the activation of survival pathways in retinoblastoma. The identification of hyperphosphorylated protein kinases including Bromodomain containing 4 (BRD4), Lysine deficient protein kinase 1 (WNK1), and Cyclin-dependent kinase 1 (CDK1) in RB opens new avenues for the treatment of RB. These kinases can be considered as probable therapeutic targets for RB, as small-molecule inhibitors for some of these kinases are already in clinical trials for the treatment other cancers

Transverse momentum dependence of directed particle flow at 160 AGeV

The transverse momentum ($p_t$) dependence of hadron flow at SPS energies is studied. In particular, the nucleon and pion flow in S+S and Pb+Pb collisions at 160 AGeV is investigated. For simulations the microscopic quark-gluon string model (QGSM) is applied. It is found that the directed flow of pions $v_1(y, \Delta p_t)$ changes sign from a negative slope in the low-$p_t$ region to a positive slope at $p_t \geq 0.6$ GeV/c as recently also observed experimentally. The change of the flow behaviour can be explained by early emission times for high-$p_t$ pions. We further found that a substantial amount of high-$p_t$ pions are produced in the very first primary NN collisions at the surface region of the touching nuclei. Thus, at SPS energies high-$p_t$ nucleons seem to be a better probe for the hot and dense early phase of nuclear collisions than high-$p_t$ pions. Both, in the light and in the heavy system the pion directed flow $v_1(p_t, \Delta y)$ exhibits large negative values when the transverse momentum approaches zero, as also seen experimentally in Pb+Pb collisions. It is found that this effect is caused by nuclear shadowing. The proton flow, in contrary, shows the typical linear increase with rising $p_t$.Comment: REVTEX, 20 pages incl. 6 figures, revised and extended versio

Pair-Hopping Mechanism for Layered Superconductors

We propose a possible charge fluctuation effect expected in layered superconducting materials. In the multireference density functional theory, relevant fluctuation channels for the Josephson coupling between superconducting layers include the interlayer pair hopping derived from the Coulomb repulsion. When interlayer single-electron tunneling processes are irrelevant in the Kohn-Sham electronic band structure calculation, the two-body effective interactions stabilize a superconducting phase. This state is also regarded as a valence-bond solid in a bulk electronic state. The hidden order parameters coexist with the superconducting order parameter when the charging effect of a layer is comparable to the pair hopping. Relevant materials structures favorable for the pair-hopping mechanism are discussed.Comment: 24 pages, 2 figures, to be published in J. Phys. Soc. Jpn. (2009

Dilepton production in heavy ion collisions at intermediate energies

We present a unified description of the vector meson and dilepton production in elementary and in heavy ion reactions. The production of vector mesons ($\rho,\omega$) is described via the excitation of nuclear resonances ($R$). The theoretical framework is an extended vector meson dominance model (eVMD). The treatment of the resonance decays $R\longmapsto NV$ with arbitrary spin is covariant and kinematically complete. The eVMD includes thereby excited vector meson states in the transition form factors. This ensures correct asymptotics and provides a unified description of photonic and mesonic decays. The resonance model is successfully applied to the $\omega$ production in $p+p$ reactions. The same model is applied to the dilepton production in elementary reactions ($p+p, p+d$). Corresponding data are well reproduced. However, when the model is applied to heavy ion reactions in the BEVALAC/SIS energy range the experimental dilepton spectra measured by the DLS Collaboration are significantly underestimated at small invariant masses. As a possible solution of this problem the destruction of quantum interference in a dense medium is discussed. A decoherent emission through vector mesons decays enhances the corresponding dilepton yield in heavy ion reactions. In the vicinity of the $\rho/\omega$-peak the reproduction of the data requires further a substantial collisional broadening of the $\rho$ and in particular of the $\omega$ meson.Comment: 32 pages revtex, 19 figures, to appear in PR