For the participation and presentation of his paper titled “A Survey of SQL Injection Attacks, Their Methods, and Prevention Techniques” at the International Conference on Data Science and Intelligent Computing (ICDSIC 2022) which was held by College of Computer Science and Information Technology on 1-2 November 2022 at University of Kerbala
All the available reports on the issue of infertility confirmed the increase in this population problem worldwide. Although the accurate estimate of the number of infertile people is due to several reasons, including the discrepancy in the true definition of infertility (whether it extends for one, two or five years of failed pregnancy attempts), as well as the great discrepancy in the size of the selected population groups (large population sample size versus epidemiological studies) and defining the category that diagnosed included (individuals, women, or couples). The goal of today’s IVF program is to obtain high-quality embryos with high efficiency in development, which leads to an increase in live birth rates. Apoptosis of the ovarian follicles of infertile women is one of the factors that can determine the outcome of IVF. The follicular fluid is an important environment because it contains apoptosis and other factors that greatly affect oocyte growth. This study included 90 women undergoing IVF program ages range from 19 to 45 years, blood sample and Follicular Fluid was obtained from each, Blood samples were taken in CD2 immediately before oocyte separation and FF and the concentration of immune biomarkers was measured using Enzyme-linked immunosorbent assay (ELISA) technology. Patients were classified according to Polycystic ovary syndrome (PCOS) (N = 25), unexplained infertility (N = 20), tubal factors (N = 15) and compared with male factor infertility (N = 30) which was considered as a control group. The current finding shows there were non-significant (p > 0.05) differences in the levels of LH, FSH, PRL and TSH in serum CD2. While a significant (p < 0.05) increase was found in level of E2 at day of HCG in unexplained group. Highly significant differences were found in level of GDF15 in serum CD2 of PCOS group compared with the two groups (unexplained and tubal block) (p < 0.05). Moreover, a significant increase was found in the level of CD95/sFas in the serum of the PCOS group compared with all other groups (p < 0.05). There was a decrease in the level of APL IgM in PCOS and unexplained groups when compared to all studied groups (p < 0.05). Levels of immune markers in serum and FF at the day of ova pick up (OPU) revealed a significant increase in the level of GDF15 and CD95 in serum and FF of PCOS group compared with the other studied groups (p ≤ 0.001), in addition, level of APL IgG showed a significant increase only in FF of unexplained and tubal groups when compared between the all studied groups (p < 0.05). In conclusion, GDF15 is bio marker of oxidative stress and increase in PCOS group and CD95/ FAS biomarker of apoptosis and sFas Anti apoptosis increase in PCOS group. Keywords: Health, Infertile women, In-vitro
Humanities and Social Sciences Communications - Article Review Acknowledgement - 9 November 2022
ABSTRACT. An elementary and short proof of Fermat's Last Theorem, FLT, is presented, which is understandable even to a student. Perhaps this proof is precisely the lost proof, which could similar to own Fermat's proof. Restricting some coefficients of polynomials by value 0, except for the first term, allows to prove the Fermat's Last Theorem for domain Z, since in this case the canonical representation of p-adic numbers is limited to only one digit in the corresponding p-ary system. It was shown within the framework of elementary algebra, which corresponds to the Pythagorean theorem, PT, that the assumption of the existence of certain “Fermat’s triples”, FTs, as integer solutions of Fermat's Last Theorem, FLT, can not be possible in Z due to some fatal inconsistencies for the PT and found by means the PT. Some equations in Z_p were shown for n=3, 4 and 5. Key words: Fermat’s last theorem, Pythagorean theorem, p-adic integers, numbers.
The purpose of this study is to propose a novel, general, tractable, fully parametric class for hazard-based and odds-based models of survival regression for the analysis of censored lifetime data, named as the “Amoud class (AM)” of models. This generality was attained using a structure resembling the general class of hazard-based regression models, with the addition that the baseline odds function is multiplied by a link function. The class is broad enough to cover a number of widely used models, including the proportional hazard model, the general hazard model, the proportional odds model, the general odds model, the accelerated hazards model, the accelerated odds model, and the accelerated failure time model, as well as combinations of these. The proposed class incorporates the analysis of crossing survival curves. Based on a versatile parametric distribution (generalized loglogistic) for the baseline hazard, we introduced a technique for applying these various hazard-based and odds-based regression models. This distribution allows us to cover the most common hazard rate shapes in practice (decreasing, constant, increasing, unimodal, and reversible unimodal), and various common survival distributions (Weibull, Burr-XII, log-logistic, exponential) are its special cases. The proposed model has good inferential features, and it performs well when different information criteria and likelihood ratio tests are used to select hazard-based and odds-based regression models. The proposed model’s utility is demonstrated by an application to a right-censored lifetime dataset with crossing survival curves.
International Journal of Biomathematics - Article Review Acknowledgement - 25 October 2022
Palestine Journal of Mathematics - Article Review Acknowledgement - 22 October 2022
A medicine can be made used in different diseased conditions. It is common in practice to prescribe the same medicine for different pathologies and is seen to be useful. But no valid documents are available to date for standardizing the prescriptions based on the multi-indication effects of such medicines. This study gives a critical analysis of formulations of Vata-vyadhi cikitsa from various Ayurveda texts using Atidesa tantra-yukti. A cross sectional observational survey study was conducted on prescriptions for Grudhrasi among 270 Ayurveda practitioners. The intention of prescription has obtained by circulating a structured questionnaire among these subjects. Data were statistically interpreted with X 2 test for association and analyzed phi value for the strength of association. Results found that Sahacaradi kashaya, Rasnasaptakam kashaya, Sahacaradi taila, Mahanarayana taila and Gandharva hastadi kashaya are prescribed in Grdhrasi even if they are not directly indicated. The combination of Sahacaradi kashaya and Yogaraja guggulu is found to be common in prescriptions of Grdhrasi. Classical references of formulations in Vata-vyadhi prakarana showed the utilization of Bahuguna quality of drugs in formulating combinations and application of Atidesa tantra-yukti in mentioning multiple indications other than Vata-vyadhi.
This study aims to describe the experiences arising from the realization of an extension course offered to the academic community by the Center for Studies in Intelligence and Technology for Innovation (IGTI) of the Graduate Program in Engineering and Knowledge Management (PPGEGC) of the Federal University of Santa Catarina (UFSC). Design/Methodology/Approach: It is a qualitative work. Data collection took place through asynchronous structured interviews in which participants and course organizers were invited to report their experiences in the course. Results: The main result of the course was the generation of social value. The course presented basic theoretical and practical notions about entrepreneurship, innovation and sustainable development. Originality/Value: The experience report provides proactive feedback to improve the project for future editions of the course, in addition to instigating similar alternatives for the academic community, regarding the subjects covered in the course. Keywords: Entrepreneurship. Innovation. Sustainable development. Extension. Reporting of experiences.
Fits tractable fully parametric odds-based regression models for survival data, including proportional odds (PO), accelerated failure time (AFT), accelerated odds (AO), and General Odds (GO) models in overall survival frameworks. Given at least an R function specifying the survivor, hazard rate and cumulative distribution functions, any user-defined paramet-ric distribution can be fitted. We applied and evaluated a minimum of seventeen (17) various baseline distributions that can handle different failure rate shapes for each of the four different proposed odds-based regression models. For more information see Bennet et al., (1983) <doi:10.1002/sim.4780020223>, and Muse et al., (2022) <doi:10.1016/j.aej.2022.01.033>.
In this study, we consider a general, flexible, parametric hazard-based regression model for censored lifetime data with covariates and term it the “general hazard (GH)” regression model. Some well-known models, such as the accelerated failure time (AFT), and the proportional hazard (PH) models, as well as the accelerated hazard (AH) model accounting for crossed survival curves, are sub-classes of this general hazard model. In the proposed class of hazard-based regression models, a covariate’s effect is identified as having two distinct components, namely a relative hazard ratio and a time-scale change on hazard progression. The new approach is more adaptive to modelling lifetime data and could give more accurate survival forecasts. The nested structure that includes the AFT, AH, and PH models in the general hazard model may offer a numerical tool for identifying which of them is most appropriate for a certain dataset. In this study, we propose a method for applying these various parametric hazard-based regression models that is based on a tractable parametric distribution for the baseline hazard, known as the generalized log-logistic (GLL) distribution. This distribution is closed under all the PH, AH, and AFT frameworks and can incorporate all of the basic hazard rate shapes of interest in practice, such as decreasing, constant, increasing, V-shaped, unimodal, and J-shaped hazard rates. The Bayesian and frequentist approaches were used to estimate the model parameters. Comprehensive simulation studies were used to evaluate the performance of the proposed model’s estimators and its nested structure. A right-censored cancer dataset is used to illustrate the application of the proposed approach. The proposed model performs well on both real and simulation datasets, demonstrating the importance of developing a flexible parametric general class of hazard-based regression models with both time-independent and time-dependent covariates for evaluating the hazard function and hazard ratio over time.
This article deals with the problem of calculating the comparative uncertainty of the main variable in the model of the studied physical phenomenon, which depends on a qualitative and quantitative set of variables. The choice of variables is determined by preliminary information available to the observer and dependent on his knowledge, experience and intuition. The finite value of the amount of information available to the researcher leads to the inevitable aberration of the observed object. This causes the existence of an unre-movable and intractable processing by any statistical methods, a comparative (respectively, relative) uncertainty of the model. The goal is to present a theoretical justification for the existence of this uncertainty and proposes a procedure for its calculation. The practical application of the informational method for choosing the preferred model for the Einstein formula and for calculating the speed of sound is demonstrated.
International Journal of Nonlinear Analysis and Applications - Article Review Acknowledgement - 10 October 2022
As companies around the world adapt to Industry 4.0, the discussion about Industry 5.0 has already begun. It is a visionary concept that considers sustainability, human-centricity, organizational resilience and human-machine collaboration as a trend for the future of the industry. As it is a new topic, there is little consensus on how to define it. The present study, therefore, aiming to fill this gap, investigated and reviewed the current state of knowledge about Industry 5.0. The scope review was used to analyze publications collected from Scopus, Scielo, Spell and Web of Science databases and from management and business journals in the country and Anais do Enanpad, in the latter two cases to portray the Brazilian context. The results point to a new stage of the industry that still considers technology as a enabler of this new reality, although it aims to detach itself from a technocentric perspective, characteristic of Industry 4.0. Industry 5.0 starts from the premise that the previous paradigm neglects issues related to sustainability, cyber security and human centrality. Finally, it is hoped that this research will serve as a reflection and provocation for further studies on Brazilian Industry.
O projeto Perspectivas em Engenharia, Mídias e Gestão do Conhecimento visa consolidar e disseminar as pesquisas acadêmicas de pós-graduação do PPGEGC/UFSC, assim como de outras instituições de Ensino Superior do país. O primeiro e segundo volume do livro Perspectivas em Engenharia, Mídias e Gestão do Conhecimento reuniu 52 pesquisadores entre professores e pós-graduandos do PPGEGC e outros programas da UFSC. Para este volume foram sugeridos temas que são tendências na Academia. Se sua pesquisa está na lista sugerida ou pertence a algumas das áreas de concentração do PPGEGC, envie seu artigo!
Humanities and Social Sciences Communications - Article Review Acknowledgement - 2 October 2022
Thirty years after being mentioned for the first time, the metaverse starts to gain notoriety, when Facebook changes its name to Meta, heralding a new era of social interaction, made possible by technology. This context refers to the need to deepen research on the metaverse. In this sense, the present study addresses this topic, from the perspective of potential users, in different sectors of human activity, seeking to identify their perception of this technology and the potential of its adoption as an opportunity for new business, considering the relationship between the metaverse and the environment. dilemma of innovation and the possibilities of knowledge. In the data collection phase, three techniques were used, successively and triangulated. For data analysis, Mayring's qualitative content analysis technique was used. From the results, it was possible to characterize the metaverse as a virtual space (environment or platform), which will provide the creation of a parallel reality, impacting and transforming the current world. It is a place where people can meet, interact and live in a different reality from the real world, in an immersive way. This immersion is not limited only to a virtual space, graphic or world of stories, but also to social immersion and with it the stimulus to interaction and content production. The metaverse and all the apparatus needed to sustain it will bring about a revolution in the way people will be able to relate, learn, trade, and other aspects of everyday life. Some challenges will deserve attention from users and managers in the metaverse as legal, moral and behavioral issues. Added to these challenges are those of technological adequacy. The metaverse needs to be able to provide users with a more realistic experience and rich activities, demanding more advanced technologies to support the construction of this new environment/universe and user-centric exploration, from a personalization perspective. The current technological stage, especially in the Brazilian context, may not be adequate to what is necessary to have the fullness of the experiences provided by the metaverse. However, the final considerations of this study show that, compared to the first metaverse initiatives, the new metaverse is more natural and offers greater immersion than the previous one; offers high recognition performance and a natural generation model due to the development of Deep Learning; uses mobile devices to increase accessibility and continuity; uses security technologies such as blockchain and virtual currencies and the stability of metaverse services has improved. Finally, it can be said that the metaverse will be vital in various sectors of human activity, including education, entertainment, medicine, industry, commerce, service provision, in general, in organizations, among others, in which social interactions may be facilitated by immersion and virtual reality.
Journal of Mathematics and Applications - Article Review Acknowledgement - 12 September 2022
International Journal of Biomathematics - Article Review Acknowledgement - 9 September 2022
Certificate of Excellence in Reviewing, Asian Research Journal of Mathematics, 3 September 2022
Int. J. of Dynamical Systems and Differential Equations - Article Review Acknowledgement - 31 August 2022
Abstract Objective: To evaluate the pattern of lipid and lipoproteins profile in patients with type 2 diabetes (T2D). Methods: In this prospective study, which was carried out in Basrah, Southern Iraq, serum concentrations of glucose “fasting blood sugar” (FBS), total cholesterol (TC), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), triglyceride (TG) and very low density lipoprotein-cholesterol (VLDL-C) were measured in 92 patients (43 males and 49 females) with T2D and 120 control subjects (35 males and 85 females). Results: Patients with T2D have significantly higher serum concentrations of TC, LDL-C, TG, VLDL-C and LDL-C/HDL-C ratio and significantly lower HDL-C serum concentration (P< 0.001) compared to control subjects. Male patients with T2D showed significantly higher TC, LDL-C serum concentrations and LDL-C/HDL-C ratio in comparison to control subjects (P< 0.001), while serum HDL-C concentration was significantly lower among T2D patients compared to controls (P< 0.001). No significant differences seen in serum TG and VLDL-C concentrations among male patients and control subjects (P> 0.05). In females, serum levels of TC, LDL-C, TG, VLDL-C, LDL-C/HDL-C ratio were significantly higher (P< 0.001), and serum HDL-C level was significantly lower (P< 0.05) in patients with T2D than in control subjects. Conclusion: T2D has marked effects on lipid and lipoprotein profile causing a diversity of dyslipidemia, that might lead to atherosclerosis, and hence, increasing the risk of coronary heart disease.
Objective: The aim of this study is to evaluate the oxidant and antioxidant level in cancer patients in Basrah during the period from the first of October 2002 till the end of April of the 2003. Material and methods:A total of 64 patients were investigated, who were admitted to the Basrah General Hospital, Teaching Hospital and Basrah Hospital for Maternity and Pediatric in Basrah City. 125 sex and age-matched persons without malignancy served as controls. They were 64 persons as control for leukemic patients (32 male and 32 female). The parameters measured were glutathione (GSH) level, uric acid, malondialdehyde (MDA) and phagocytic functional activity. The leukemic patients were sub classified into two groups according to their age (30 patients ≤16 years and 16 patients >16 years). Results: The biochemical investigation showed a high significant depletion in GSH levels in leukemic patients (P<0.001). The phagocytic activity was high significantly decreased in all leukemic patients (P<0.001). There was no significant difference between male and female leukemic patients in phagocytic activity. The MDA level was highly significantly increased in 16 years old leukemic patients (P<0.01) and extremely high significant in >16 years old leukemic patients (P<0.001). The investigation of uric acid concentration shows extremely high significant increase in all leukemic patients (P<0.001). Conclusion: cancer patients suffer a high degree of ROS formation causing considerable oxidative stress which associated with decrease glutathione level and significant degree of lipid peroxidation.
A study on Artavavaha Srotas with special reference to Analysis of Deha Prakriti In Infertility
Boletim da Sociedade Paranaense de Matemática - Article Review Acknowledgement - 20 August 2022
Certificate of acceptance for the manuscript (sustainability-1758486) titled: Provably Secure with Efficient Data Sharing Scheme for Fifth-generation (5G)-enabled Vehicular Networks Without Road-side Unit (RSU) Authored by: Mahmood A. Al-Shareeda; Selvakumar Manickam; Badiea Abdulkarem Mohammed; Zeyad Ghaleb Al-Mekhlafi; Amjad Qtaish; Abdullah J. Alzahrani; Gharbi Alshammari; Amer Sallam; KHALIL ALMEKHLAFI has been accepted in Sustainability (ISSN 2071-1050) on 08 August 2022
Digital Transformation - TD is a process driven by digital technologies and the changes triggered and their impacts affect the mechanisms of creation, strategy and organizational value structure (VIAL, 2019). In this disruptive context, there is also a concern growing with the environment whose awareness of people in relation to the impact of man's actions on nature becomes clearer. That it triggers a reflection on the influence that society imposes on this process (VAN BELLEN, 2004). There is a consensus that themes on Digital Transformation have a significant number of investigations, but more comprehensive studies to understand the impacts of this transformation in sustainability still requires more attention from researchers (FEROZ, ZO, CHIRAVURI, 2021; VERHOEF, 2019 VIAL, 2019; BEIER, 2020). In this scope, the study seeks to answer, through an integrative literature review, the following research question: what are the impacts of digital transformation (DT) for sustainability?
Bibliometric studies have the particularity of analyzing the performance of a research field/area. The present study, following this premise, will map the works of a Postgraduate program at a Brazilian Federal University. For this purpose, text mining and clustering techniques are used to analyze 609 works, including theses and dissertations. The use of text mining techniques and visualization of similarities provided the indication of groupings of knowledge areas. The similarity analysis indicates the little interaction between the fields of knowledge, characterizing the existence of “conceptual islands”. This result may have been impacted by the way the data was extracted in the similarity analysis. The analysis also made it possible to verify which themes arouse greater interest in the program in relation to the research being carried out.
Volatility, uncertainty, complexity and ambiguity are aspects of the current corporate environment. In this context, organizations that are not adapted will be doomed to failure and will run serious risks of survival. Leadership as a process driver of these organizations, needs to be adequate to deal with these new challenges. The purpose of this article was to analyze the competencies needed by the leader in the VUCA context. For this purpose, the scope review was used, in which the essential competencies for leaders and leadership in a VUCA environment, among main: agility, team alignment, ability to learn, ability to decide, ability to innovate, resilience and self-knowledge. As a suggestion for future research if advises the carrying out of empirical work to attest whether the skills listed are the suitable for the context of volatility, uncertainty, complexity and ambiguity.
Abstract Background: Dyslipidaemia is frequently associated with type 2 diabetes mellitus and it is the major contributor to cardiovascular diseases among type 2 diabetic patients. Despite the fact that several researches have proven the association between glycemic control and dylipidemia in type 2 diabetic patients, the results are rather varied. Objectives: The aim of the study is to investigate the clinical relevance of lipid profile as predictive biochemical model for glycemic control in type 2 diabetic patients. Methods: A cross-sectional study including 329 type 2 diabetic patients was done in Al-Sadr Teaching Hospital, Basrah, Iraq. Brief history, clinical examination, and investigations including fasting plasma glucose, lipid profile, and glycosylated hemoglobin were done. HbA1c >7% was considered as poor glycemic control. Receiver operator characteristics (ROC) analysis and logistic regression analysis were used to evaluate the association between lipid profile and HbA1c level. Results: Out of 329 diabetic patients, 278 (84.5%) showed poor glycemic control. The univariate analysis showed a significant association between lipid parameters and poor glycemic control. ROC and logistic regression analyses found that TC/HDL (OR: 4.94; 95% CI: 2.35-10.41; P<0.001) and LDL/HDL (OR: 4.63; 95% CI: 1.96-10.98; P<0.001) were the only significant independent predictors of glycemic control, while non-HDL cholesterol was a weak predictor of glycemic control despite its significant association (P=0.02). Conclusion: LDL/HDL and TC/HDL ratios reveal promising indicators for predicting glycemic control in type 2 diabetic patients.
http://www.socionauki.ru/book/files/evolution_3/249-256.pdf Abstract For the first time, the growth rate of minimal animal genome size is shown to slow down in the course of evolution from prokaryotic forms to mammals after the Cambrian explosion. There is proposed an original mathematical model which takes into account a multiphase character of development and importance of multidirectional trends in the evolution. The authors explain from the biological point the exponential change of minimal genome size in the beginning of the evolutionary process, slowing down after the period of the Cambrian explosion as well as reveal certain parameters of the evolutionary processes as a result of the model application. According to the proposed model, the S-shaped curve with distinct inflexion point adequately describes the increase of minimal genome size. Keywords: evolution equations, mathematical modeling, genome size, Cambrian explosion.
Discontinuity, Nonlinearity and Complexity - Article Review Acknowledgement - 25 July 2022
Back pain is a devastating lifestyle disease that affects a large proportion of the world's population at some point in their life. Absence from work due to this has a huge economic impact on the patient, their employer, and the healthcare providers who seek support for their recovery. Unfortunately, back pain is often resistant to treatment and intervention; therefore, alternate therapies such as Yoga are being explored. Within the literature, certain Yoga postures were identified to be associated with reduced back pain in patients suffering from chronic lower back pain. This study has revealed the interrelationship between the anatomical structure of the back and the effect of yoga postures. Index Terms-Yoga, Anatomy, Back pain ________________________________________________________________________________________________________ INTRODUCTION When Yoga is practiced as a science of health and healing, its techniques, and methods, which are meant for spiritual experiences, are automatically geared to do the job for the promotion of health and for bringing the healing touch to the body and mind suffering from illnesses. Yoga postures involve the increased awareness of various physical and physiological processes influenced by controlled stretching, contraction, and relaxation of various muscles, their coordination in balancing and during maintenance of posture, etc. The skeletal system and the muscular system are the principal systems of the Human body responsible for the movements of the body. Muscular tissue is specialized for contraction and is, therefore, able to move. Muscle cells are called muscle fibers and each muscle is a bundle of lengthwise small thread-like fibers known as myofibrils. Each of the myofibrils has three main qualities, it can contract and shorten its length when stimulated. It can get lengthy whenever required and it has the elasticity to come back to its original shape system etc when no action. This contractibility, extensibility, and elasticity bestow the muscles its unique function. Movement, which is a function of voluntary muscle, is caused due to specific contraction, and relaxation of muscles. Contraction could be of two types isotonic and isometric. Isotonic contraction results when the muscle fiber shortens and causes the joints to move through some range of motion against constant resistance Low back pain is one of the most frequent medical causes of absence from work, and disability arising from chronic back pain is now major welfare and economic problem. Of course, back pain can be referred to as a convenient excuse for malingering, but there can be little doubt that many people have real and severe problems. Mechanical influences must be important because specific types of mechanical loading constitute the greatest known risk factors for acute disc prolapse and low back pain in general. However, there is growing evidence that back pain is a phenomenon that affects both the mind and body.
Mathematical Methods in the Applied Sciences - Article Review Acknowledgement - 19 July 2022
Background Acupuncture is an ancient form of traditional Chinese medicine. It works on the principle of stimulating points in the body to correct imbalances in the flow of energy (Qi) through channels known as meridians. This belief is based on the interaction of the five elements (wood, fire, earth, metal, and water) and having profound effects on internal organs, which are either yin or yang. Value Mental health disorders are medical conditions that affect a person’s feeling, thinking, mood, ability to interact with others and normal daily functioning. Perhaps it is a sign of the times, and the fast-paced and stressful modern world people live in, but mental health issues appear to be increasingly common, affecting up to a third of adults at some point in their lives. Objective This study was aimed to review scientific literature related to acupuncture techniques for mental health. Methodology This study was a literature-based study which was done using articles published in scopus, web of science and science citation indexed journals. For the study, uses of acupuncture and acu points for psychiatric ailments were studied and effective acupoints and effective diseases were identified. Findings It is revealed that Acupuncture can detect energetic changes that occur in the body and relieve symptoms of mental disorders by restoring equilibrium. Conclusion Most literature findings from indexed publications provided strong evidence that acupuncture is highly beneficial in management of psychiatric ailments. Key words Acupuncture, Mental Health, Yin, Yang
Ayurveda has described eleven Indriya’s, five Gyanendriya, five Karmendriya and one Ubhyendri, among them eye comes under Gyanendriya and in modern literatures it comes under sense organs. It is one of most important sense organ which is very much essential for social and intellectual development of a person. Many diseases of eye may occur due to defective life style changes particularly in busy modern life. As per the WHO statistics global blindness due to eye diseases is 37 million, due to refractive errors it is 8 million. Ayurveda found to describe vividly about ocular health, especially in Sushruta Samhita a wide description is available regarding eye diseases and its management. Acharya Sushruta has given much importance to eye as it is evident from the fact that the Uttara tantra of Sushruta Samhita starts with description of eye disorders and out of which intial 19 chapters are devoted only to eye diseases and their management. Hence to keep eye free from illness various aspects described in Ayurveda like Concept of Ritucharya, Dincharya, Anjana (collyrium), Aschyotan (eye drop), Snana(bath), Padabhyanga (foot massage with oil), Nasya (nasal application of drugs), Abhyanga (oil massage), various eye exercises and different yogic kriyas, rasayana etc. can be very helpful in this perspective. KEYWORDS: Eye, Dincharya, Ritucharya, Chakshushya, Rasayana, yoga.
In several experiments of survival analysis, the cause of death or failure of any subject may be characterized by more than one cause. Since the cause of failure may be dependent or independent, in this work, we discuss the competing risk lifetime model under progressive type-II censored where the removal follows a binomial distribution. We consider the Akshaya lifetime failure model under independent causes and the number of subjects removed at every failure time when the removal follows the binomial distribution with known parameters. e classical and Bayesian approaches are used to account for the point and interval estimation procedures for parameters and parametric functions. e Bayes estimate is obtained by using the Markov Chain Monte Carlo (MCMC) method under symmetric and asymmetric loss functions. We apply the Metropolis-Hasting algorithm to generate MCMC samples from the posterior density function. A simulated data set is applied to diagnose the performance of the two techniques applied here. e data represented the survival times of mice kept in a conventional germ-free environment, all of which were exposed to a fixed dose of radiation at the age of 5 to 6 weeks, which was used as a practice for the model discussed. ere are 3 causes of death. In group 1, we considered thymic lymphoma to be the first cause and other causes to be the second. On the base of mice data, the survival mean time (cumulative incidence function) of mice of the second cause is higher than the first cause.
Typically, the parametric proportional hazard (PH) model is used to examine data on mortality occurrences. Competing risks are prevalent in health information, making it difficult to manage time to event data in clinical investigations. A Bayesian framework is being developed for managing conflicting risk occurrences in clinical data. The objective of this study is to identify the variables that affect patients' odds of surviving peripheral blood stem-cell transplantation, a therapy option for life-threatening blood disorders. In addition, we want to implement a Bayesian model capable of analysing time-to-event data in the context of competing risk. In this research, we analyse failure reasons in the setting of competing risk models using the generalised log-logistic with right-censored scheme. We present competing risks models for censored survival data in the presence of explanatory variables, where each system contains more than one component in series. We assume that each component's survival time follows a generalized log-logistic distribution. We obtain Bayesian estimates of the component's lifetime distribution parameters and regression coefficients. We present a comprehensive Markov chain Monte Carlo (McMC) method to evaluate the estimators' convergence diagnostics. A real-survival data set dealing with stem-cell transplants demonstrated the model's flexibility and advantages.
This paper explored the strengths and weaknesses of China's public diplomacy in the face of the West's conservative engagement in DRC. After discussion and analysis, this paper finds that its [China's public diplomacy in DRC] strengths lie more in the economic-financial dimension, the characteristics of Chinese actions, achievements and works, and the large and growing number of people-to-people contacts and exchanges between China and the DRC. And finally, its [China's public diplomacy in DRC] weaknesses are more related to the dimension of cultural deals inherited from colonization, favorable to the Western world, certain positions of the Chinese government, the repetitive errors of secondary actors: individuals and companies, communication problems and the dimension of political deals. Thus, it is imperative for China to engage more in the dimension of the new public diplomacy - a holistic [Comprehensive] strategic vision of public diplomacy should enable China to overcome, escape and contain the banner skins of the conservative strategies of the Western world in DRC.
International Jounal of Nonlinear Analysis and Applications - Article Review Acknowledgement - 6 July 2022
International Jounal of Biomathematics - Article Review Acknowledgement - 27 June 2022
The purpose of this article is to identify the relationship between the network of collaboration and production innovation in companies. Through an integrative review using the databases in the Scopus and Scielo it was possible to relate the negative and positive influence of the collaborative network on the companies' innovation processes, whether internally or externally, shared with other companies. The study concluded that collaborative networks have greater positive influence on the process of innovation in enterprises, also highlights the growth of the participating companies regarding the sharing of experiences and knowledge absorption that these networks provide, which may lead the company to increase earnings financial, change in its management process and formation of partnerships.
A simplified method for calculating polynomials coefficients without explicit application of power for p for representation of fractions is proposed.
Mathematical Methods in the Applied Sciences - Article Review Acknowledgement - 21 June 2022