bluuebunny/crossref_metadata_2025 huggingface dataset:
ÖRGÜTSEL SİNİZMİN İŞTEN AYRILMA NİYETİ ÜZERİNDEKİ ETKİSİNDE TÜKENMİŞLİĞİN ARACI ROLÜNÜN İNCELENMESİ
Authors: ÖZGEN Muhammed , COŞKUN Ahmet
Published: December 2022

Bu çalışmanın amacı örgütsel sinizmin işten ayrılma niyeti üzerindeki etkisinde tükenmişliğin aracı rolünün olup olmadığını ortaya koymaktadır. Elde edilen veriler anket yöntemi yardımıyla toplanmış ve daha sonra SPSS programı aracılığıyla analiz edilmiştir. Kayseri Organize Sanayi Bölgesinde faaliyet gösteren imalat işletmelerinde görev yapan çalışanlar araştırmanın evrenini, bu fabrikalarda çalışan ve rassal yöntemle seçilmiş 391 kişi ise araştırmanın örneklemini oluşturmaktadır. Araştırma sonucunda örgütsel sinizmin bilişsel, duygusal ve davranışsal alt boyutlarının hepsinin işten ayrılma niyeti üzerinde pozitif ve anlamlı etkisi olduğu ortaya konulmuştur. Yapılan aracılık etkisi analizinde ise örgütsel sinizmin bilişsel ve davranışsal alt boyutu, işten ayrılma niyetine etki ederken tükenmişliğin alt boyutları olan duygusal tükenme ve kişisel başarı hissinin kısmi olarak aracılık ettiği belirlenmiştir. Örgütsel sinizmin duygusal alt boyutu, işten ayrılma niyetine etki ederken tükenmişliğin sadece duygusal tükenme alt boyutunun kısmi aracılık görevi gördüğü ortaya çıkmıştır. Son olarak örgütsel sinizmin alt boyutları, işten ayrılma niyetine etki ederken tükenmişliğin duyarsızlaşma alt boyunun ise herhangi bir aracılık etkisinin olmadığı ortaya konulmuştur.
Characterization and biological activity of new 4-oxo-1,4-dihydrocinnoline-based inhibitors of the tyrosine phosphatase PTP1B and TCPTP
Authors: Derkach K.V. , Zakharova I.O. , Bakhtyukov A.A. , Sorokoumov V.N. , Kuznetsova V.S. , Shpakov A.O.
Published: December 2022

Functional disorders in obesity are largely due to a decrease in tissue sensitivity to insulin and leptin. One of the ways to restore it is inhibition of protein phosphotyrosine phosphatase 1B (PTP1B) and T-cell protein phosphotyrosine phosphatase (TCPTP), negative regulators of the insulin and leptin signaling. Despite progress in the development of inhibitors of these phosphatases, commercial preparations based on them have not been developed yet, and the mechanisms of action are poorly understood. The aim of the work was to study the effect of new derivatives of 4-oxo-1,4-dihydrocinnoline (PI04, PI06, PI07) on the activity of PTP1B and TCPTP, as well as to study the effect of their five-day administration (i.p., 10 mg/kg/day) to Wistar rats with diet-induced obesity on body weight and fat, metabolic and hormonal parameters, and gene expression of phosphatase and insulin and leptin receptors in the liver. It has been shown that PI04 is a mild, low selective inhibitor of both phosphatases (PTP1B, IC50=3.42(2.60–4.51) μM; TCPTP, IC50=4.16(3.49–4.95) μM), while PI06 and PI07 preferentially inhibit PTP1B (IC50=3.55 (2.63–4.78) μM) and TCPTP (IC50=1.45(1.18–1.78) μM), respectively. PI04 significantly reduced food intake, body weight and fat, attenuated hyperglycemia, normalized glucose tolerance, basal and glucose-stimulated levels of insulin and leptin, and insulin resistance index. Despite the anorexigenic effect, PI06 and PI07 were less effective, having little effect on glucose homeostasis and insulin sensitivity. PI04 significantly increased the expression of the PTP1B and TCPTP genes and decreased the expression of the insulin and leptin receptor genes. PI06 and PI07 had little effect on these indicators. Thus, PI04, the inhibitor of PTP1B and TCPTP phosphatases, restored metabolic and hormonal parameters in obese rats with greater efficiency than inhibitors of PTP1B (PI06) and TCPTP (PI07). This indicates the prospect of creating mixed PTP1B/TCPTP inhibitors for correction of metabolic disorders.
Lymphocytes enzymatic status and peripheral blood neutrophils oxygen-dependent metabolism in patients with renal cancer
Authors: Zukov R.A. , Slepov E.V. , Kurtasova L.M. , Inzhevatkin E.V.
Published: December 2022

The immune system, one of the most important homeostatic organism systems, is actively involved in the protection against malignant tumors. The earliest sighs of immune homeostasis disorders should be invetigated at the cellular level, because of cell functional manifestations depend on the state of intracellular metabolic reactions. The study of lymphocyte NAD(P)-dependent dehydrogenases activity and peripheral blood neutrophils oxygen-dependent metabolism in patients with renal cellular carcinoma (RCC) showed a decrease in the intensity of ribose-5-phosphate and NADH-dependent synthetic processes, inhibition of terminal reactions of glycolysis. Altered activities of the studied enzymes favor an increase in outflow of intermediates of the Krebs cycle on the reaction of amino acid metabolism in peripheral blood lymphocytes. Radical nephrectomy was accompanied by increased activity of glycolysis. The basal level chemiluminescent of peripheral neutrophils of RCC patients response was higher both before and after operations. Stimulation of neutrophils by opsonized zymosan in vitro leads to increase in oxidative metabolism activity, most in 14 days after surgery period. Before and 30 days after surgery, adaptive metabolic capabilities of neutrophilic granulocytes decreased.
Breast Cancer Screening
Authors: P. Priyadarshini, , S. Sarathi, , V. Hemavathy,
Published: December 2022

Breast cancer is the most frequent cancer in women, impacting one out of every eight women at some point in their lives. Despite the fact that it is more frequent in older women, breast cancer seldom strikes women under the age of 45. Women under the age of 45 account for around 9% of all new cases of breast cancer in the United States. The most important methods for preventing breast cancer deaths are early detection and cutting-edge cancer treatment. Breast cancer that is detected early, when it is little and hasn’t spread, is easier to treat. The most accurate method for identifying breast cancer early is through frequent screening examinations. According to the American Cancer Society, screening is recommended for both women who are at medium risk of breast cancer and those who are at high risk. Breast cancer screening tests are used to detect the disease before symptoms such as a palpable lump appear. Screening tests and exams are used to identify illness in persons who do not exhibit symptoms. Clinical and self-breast examinations, mammography, genetic screening, ultrasound, and magnetic resonance imaging have all been used as screening treatments.
Effectiveness Of Structured Teaching Programme On Knowledge And Practice Regarding Isometric Exercise Among Patients With Osteoarthritis
Authors: R. Ramania, , Dr.V. Hemavathy,
Published: December 2022

The Impact of a Structured Teaching Program on Patients With Osteoarthritis’ Isometric Exercise Knowledge and Practice Osteoarthritis is a degenerative joint disease that is very expensive for our health-care system. The most prevalent site of osteoarthritis is the lower extremities, notably the knee joint. 1.to assess the knowledge and practise of isometric exercise among osteoarthritis patients. 2.to determine the efficacy of a systematic isometric exercise training programme in osteoarthritis patients 3.to investigate the relationship between osteoarthritis patients’ knowledge and practise of isometric exercises. 4.to establish a link between the demographic variable and the knowledge and practise of isometric exercise among patients with osteoarthritis. The efficacy of a systematic training programme on isometric exercise was evaluated using a quasi-experimental research method. In an orthopaedic hospital, there are (100) patients with osteoarthritis. Sampling is a simple sampling method. Conclusions and Findings During the pretest, 54 percent of the 100 samples had insufficient knowledge, whereas 46 percent had adequate knowledge. 52 percent had moderately adequate knowledge and 48 percent had adequate knowledge at the pottest level. In the pretest, 73 percent of the 100 samples had poor practise, 27% had acceptable practise, and 60% had good practise. Knowledge pre- and post-testing The value of the ‘t’ test is 11.67, whereas it is actually 23.36. At the p0.001 level, the ‘t’ value was compared to the tabulated table value.Patients with osteoarthritis experienced a statistically significant increase in knowledge (p0.001). In terms of the utility of organised teaching programmes, there was a significant improvement in knowledge and practise of isometric exercise when osteoarthritis patients were admitted to structured teaching programmes.
Mean Platelet Volume a Risk Indicator in Acute Coronary Syndrome
Authors: K.M. Devi, , V. Padma, , S.T. Sathyapriya, , S. Saketh,
Published: December 2022

INTRODUCTION: Coronary artery disease is the disease manifested mainly the process of atherosclerosis and their complications. Platelets have a major part in the atherosclerosis process initiation and the formation of thrombus in the coronary vessels. Larger the size of the platelet , higher the risk of thrombosis as it is metabolically and in enzymatic way more active compared to smaller platelets.1 Since MPV gives the measurement of average size of the platelets, MPV measurement predicts the risk of developing Acute coronary syndrome. METHOD: All patients who come to Emergency Department and Out patient Department of Sree Balaji Medical College and Hospital with chest pain who are not a known case of Acute Coronary Syndrome, and fulfilling the inclusion and exclusion criteria will be taken for our study. As soon as patient got admitted , informed consent was obtained from patients and attenders. Initial evaluation involves thorough clinical history and examination, Electrocardiography and Troponin I (biomarker). Venous samples for troponin I and MPV will be taken at the time of arrival and before the treatment initiation and the platelet volume indices are assessed and the correlation between ACS (STEMI, NSTEMI) and Non ACS patients with MPV values are assessed and also among STEMI and NSTEMI patients. RESULTS: Mean platelet volume (MPV) was assessed in our study and we have found it higher in ACS patients (9.716 ± 0.829) compared to the control group (8.730 ± 0.840) , which was significant , P wave of less than 0.05. It was also determined that high MPV values were there among patients who are diagnosed with STEMI as compared with NSTEMI with values of 9.98 ±0.675 and 9.412 ±0.896 , significant statistically (P less than 0.05). CONCLUSION: In our study, MPV values assessed were obtained to be high in ACS diagnosed patients than with Control group and similarly MPV values were high in the patients with STEMI patients more than in NSTEMI and also proved it to be significant . Hence it could be useful as a simple test with other biomarkers in the prediction of ACS earlier. Large platelets are usually metabolically active more , they carry the higher risk of developing coronary thrombosis leading to the Acute coronary syndrome. As this test could be done in routine analysis and could help in ACS early detection.
A Novel Deep Learningbased Model for the Efficient Classification of Electrocardiogram Signals
Authors: S. Mehata, , R.A. Bhongade, , R. Rangaswamy,
Published: December 2022

To manage healthcare, an electrocardiogram, often known as an “EKG” or “ECG”, is a measurement of the electrical activity of the organ “heart”. Deep Learning (DL) or Deep Neural Networks have recently attracted the attention of researchers in many other sectors, including healthcare and medicine. There has been a frequent rise in the number of researchers developing the model to classify and detect several diseases, out of which cardiac complications are the keen focus due to the mortality associated with it. Therefore, the objective of the present research is to develop a classification model for efficient and accurate classification of signals received from ECG. The present study uses a “deep neural network” for the classification of the ECG signal into a total of five criteria including Normal ECG, QRS Widening, ST Elevation, ST Depression, and Sinus Rhythm. The developed classification method is tested and evaluated with the “MITBIH arrhythmia database” which revealed significant matrices for all parameters such as “precision”, “accuracy”, “recall”, and “F-1 score”. In addition to that, the proposed model demonstrated competent results which further highlights the practical applicability of the model to implementation and adoption in the healthcare sector.
Molecular Docking Study of Cox-2 Target Protein with Terminic acid and its Role for Myocardial Infarction
Authors: D. Chauhan, , S. Sahoo, , N. Ahmad,
Published: December 2022

Myocardial infarction occurs when the oxygen supply to the heart muscle is insufficient in one or more places. Its management becomes costly in the developing world cause of expensive medicine. Apart from that, the side effects of the treatment used to treat myocardial infarction are also unintended side effects which further stress the need to explore alternative medicine. Therefore, this research aims to find the putative inhibitor from a botanical source against the target protein of myocardial infarction. To conduct the research, computer analysis was used to undertake a docking procedure between the target structure, the Cox-2, and the chosen phytocompound, Terminic acid. Following the determination of the affinity, the complex was visualized to examine the interaction and assess its potential for usage as a Myocardial Infarction preventative. The initial posture of the protein, as well as the ligand combination, showed binding energy of -7.79 kcal/mol which may further open the way for its application in the treatment Myocardial Infarction of in the future. To determine its drug-likeliness, however, more study, such as in-vitro investigations and bigger trials, is required.
In-Silico Docking Studies of Angiotensin Converting Enzyme Using Natural Inhibitor
Authors: V. Laxmi, , P. Chakraborty, , K. Mishra,
Published: December 2022

Lowering blood pressure (BP) using antihypertensive medicines lowers the risk of target organ failure as well as the occurrence of cardiovascular disease. The most common modifiable risk factor for death and disability is hypertension, which is associated with strokes, increased coronary and systemic atherosclerosis, heart problems, and chronic kidney diseases (CKD). The majority of deaths and disabilities globally now result from cardiovascular diseases (CVDs), mainly in low- and middle-income nations. Numerous genetic, behavioral, and environmental risk factors all contribute to hypertension, a significant component in the advancement of CVD. Given the significance of protein-ligand interactions in structure-based therapy development, we molecularly docked nifedipine to the cardiovascular target protein to determine the drug’s binding affinity. The Angiotensin Converting Enzyme (Target hypertension Protein) three-dimensional (3D) structure was docked using the Autodock tool, which was retrieved from the Protein Data Bank (PDB). Our analysis indicates that nifedipine is an effective choice for treating hypertension and reducing the symptoms of angina (chest pain).
Pathological Analysis of Brain Tumor in MRI Images Using CAR-UNET Model Architecture
Authors: R.R. Ayalapogu, , S. Pabboju, , R.R. Ramisetty,
Published: December 2022

The most dangerous type of organ failure in humans is a brain tumor. A brain tumor’s incorrect segmentation and classification are critical for treatment and early diagnosis. Several Deep neural network-based architectures have recently been developed to improve brain tumor classification performance. However, brain tumor classification performance must be improved, which is a difficult area of research. The goal of this study is to analyze different types of brain tumors and how to classify them to increase the survival rate of people with brain tumors. The CAR-U-Net (Concatenation and Residual) image classification method is proposed in this paper to help with brain tumor segmentation and classification research. The baseline U-Net architecture employs concatenation and residual connections. The changes in the network help in discovering varied features by expanding the specific receptive field. We consider two factors for a better diagnosis system: finding missing feature maps and eliminating unfeatured feature maps. The residual connection can solve the over learn or Null feature map problem, while the concatenation connection can solve the missing feature maps problems. This model has been tested on the BraTS2017 Challenge datasets. The network’s concatenation and residual connections, which are used for better deep supervision and tumor differentiation, are accurate. The accuracy, sensitivity, specificity, and dice score were used to compare the performance quantitatively. The proposed system achieved 94.12% Accuracy and 97.16% sensitivity which is higher than the existing systems such as U-net, Residual U-net and, Bayesian SVNN. Also, the proposed system got the dice score coefficient of 90.32. which is higher compared to conventional U-net and Residual U-net. The proposed CAR-UNET model outperformed current best-practice techniques. The high-performance capacity of this model can help bioinformatics, medicine, and early diagnosis researchers.
Effectiveness of knowledge on self care compliances among patients undergoing hemodialysis at selected hospitals, Salem
Authors: J. Dhanalakshmi, , S. Malathi,
Published: December 2022

Chronic Renal Failure is a worldwide public health problem with an increasing incidence and prevalence, poor outcomes and high costs. The health teaching regarding hemodialysis and self care is important to improve the health and wellbeing for patients with chronic renal failure. The aim of the study was to evaluate the effectiveness of Self care compliances among patients undergoing hemodialysis at selected hospital. Research design used for the study was quasi experimental research design. 20 samples were selected by non probability purposive sampling technique. After self introduction and explanation, collected the demographic and clinical variables, assessed self care compliances with 5 point rating scale. After pretest interventions given regarding self care compliances. Posttest has been done after 4 weeks. The result revealed that the mean score during pretest in experimental group was 43.20 ± 6.79 whereas in control group was 41.70 ± 6.42 with the mean difference 1.5 and the calculated independent ‘t’ test value found to be t = -44.886. It shows highly significant difference (P<0.05) between experimental and control group respectively. The mean score of posttest level of self-care compliances in experimental group was 155.00 ± 4.78 whereas in control group was 44.400 ± 6.397 with the mean difference 110.6 and the calculated independent ‘t’ test value found to be t =-9.000. Statistically it shows highly significant difference (P<0.05) in level of self care compliances between experimental and control group among patients undergoing hemodialysis. The finding revealed that there is a significant improvement in self care compliances after intervention.
Transcatheter closure of secundum atrial septal defects in Egyptian centers: immediate and short-term outcomes
Authors: M.N. Moawed, , N.M. Mahmoud, , M.A. Abdelbasset, , A. M. El-Sisi, , H.M. Ali, , A.A. Meabed,
Published: December 2022

Considered is the Atrial Septal Defect (ASD), with secundum ASDs being the most frequent. As known, in comparison to surgical approach, device closure of secundum ASD is less invasive, has few post-procedural complications, reduced anaesthesia risks, and has early hospital discharge. The present observational study discusses the outcome of the transcatheter closure of secundum ASD in Egyptian cardiac centres. The outcome included immediate and short-term results (up to one-year of intervention date).
The state of the cardiovascular system in female students after use of different doses of caffeine
Authors: V.A. Anzorov, , S.V. Moryakina,
Published: December 2022

Our article is devoted to the study of the state of the cardiovascular system in female students after the use of different doses of caffeine. Drinking 200 mg of coffee leads to a significant increase in heart rhythm and diastolic blood pressure in girls. The maximum values of heart rate (HR) and blood pressure are reached 1 hour after caffeine intake. Thus, in this case, reported is an increase in the heart rhythm by 12.7% (P ˂ 0.05), a rise in the high blood pressure by 8.8% and that in the low blood pressure level by 12.0% (P ˂ 0.05), as compared to the respective initial values thereof. After drinking 100 mg of coffee, there are no significant changes in the indicators of the cardiovascular system performance recorded: an increase in the heart rate after 1 hour has been reported to be 9.5%, a rise in the systolic blood pressure (BPs) has reached 5.0% and that in the diastolic one (BPd) 6.4%, as compared with the values of the reference group. The use of different doses of caffeine does not lead to significant changes in the duration of the waves and segments on the electrocardiogram. 3 and 6 hours after drinking coffee, the indicators of the cardiovascular system are gradually decreasing, approaching their respective initial values.
A Case of Acute Aortic Dissection Mimicking Myocardial Ischemia
Authors: N.D.V. Sainadh, , M. Periyasamy, , M.C. Vinatha,
Published: December 2022

Acute aortic syndrome is a severe and potentially fatal aortic condition. Aortic dissection is due to the tear of the intimal layer, either circumferential or transverse. Primary intimal rip or a medial haemorrhage that dissects into the intima may be the initiating event. Peak incidence occurs in the sixth to seventh decades. Pain that appears out of nowhere. Among its many manifestations, acute aortic syndrome can look like myocardial ischemia. The patient presented to the E.R with complaints of chest pain which is of sudden onset and ECG reveals ST segment elevation which can be difficult to differentiate from MI and acute aortic dissection. In this case report, we will be presenting a case with chest pain who was initially suspected to have had a myocardial infarction instead of an AAD.
A Case Series on Myocarditis after COVID-19 Vaccination
Authors: J.S. Renuka, , B. Indrani, , K. Arminder,
Published: December 2022

Many efforts have been undertaken to develop a successful vaccine to contain the catastrophe since the COVID-19 outbreak. Early in December 2020, the SARS-CoV-2 vaccine program was initiated, and it significantly reduced transmission and mortality. However, there are cases of cardiac complications like myocarditis that have been encountered in several individuals after administrating the COVID-19 vaccine. Therefore, this present work aims to describe four cases of Myocarditis in the existing literature review. A literature search was carried out using Scopus, Science Direct, PubMed, and other renowned databases for high-quality recent individualized case reports of individuals having myocarditis after receiving the vaccine, research papers, case series, and review articles with no language restriction. The findings from the four cases and rigorous literature review revealed that myocarditis is one of the adverse reactions after COVID-19 vaccination which comes with initial symptoms of chest pain and fever which can further execrate if ignored. However, the use of symptomatic relief and anti-inflammatory non-steroidal drugs have4 been noted to be effective in managing myocarditis induced by COVID-19 Vaccinations.
In-Silico Study of Chicoric acid as an Adjunct Therapy Targeting Caspase-3 for Effective Management of Heart Failure
Authors: J. Sahoo, , N. Ahmad, , A. Singh,
Published: December 2022

Heart failure is a significant public health problem and it is one of the most prevalent reasons for being admitted to the hospital. It mostly affects the elderly, and with rising life expectancy and better management of chronic medical diseases, the patient population with heart failure is predicted to rise. As there are many side effects of existing drug interventions that are being used to manage the heart failure issue, the surge to explore alternative traditional medicine has regained all interest. Therefore, this study aims to identify a potential inhibitor of a novel target for heart failure “caspase-3” which plays an important role in the failing of the heart using a computational approach of molecular docking. The study explores the targeting ability of chicoric acid which is one of the phytocompound presented in various botanical sources having cardioprotective nature. The results of the study revealed a negative binding affinity of -15.46Kcal/mol which is promising for the development of alternative treatment or an adjunct for effective heart failure management.
Machine Learning-based Model for Early Prediction of Coronary Artery Disease
Authors: A. Nabeel, , S.S. Yadav, , A.K. Moharana,
Published: December 2022

The global healthcare industry manages millions of individuals and generates enormous amounts of data. Machine learning-based algorithms are analysing complex medical information and produce superior insights. “Coronary artery disease (CAD)”, the most prevalent form of cardiac disease is getting the greatest interest in the development of predictive models due to its large number of modifiable risk factors. This research study aims at comparing five algorithms of supervised machine learning for the CAD prediction. The research utilizes the Cleveland dataset from the UCI repository for training and testing the algorithms. The results of the comparison revealed that KNN is the best algorithm with significant performance measures which can be effective in predicting CAD accurately. Therefore, it can be suggested that these predictive models, which were developed using machine learning (ML) algorithms, can help doctors identify CAD early and may lead to better results that would help to avoid adverse clinical outcomes.
Impact of COVID-19 on Agri Supply Chain in Nashik District
Authors: T.R. Dhage, , V. Bhat,
Published: December 2022

India has faced many pandemic diseases like plague, swine flu, cholera, pneumonia, bird flu, etc., affecting the Indian economy. But COVID-19 is adversely affecting the country. To be specific Agriculture sector is most vulnerable to losses everywhere. Indian agriculture has not been very progressive as compared to other industries. Farmers don’t get a reasonable price for their produce. Farmers here are illiterate and trick by money lenders, middle-man, traders, etc. Most of the margin of farmers taken by middle-men results in loss of farmers and customers getting the product at a high price. Also, there are fewer storage facilities, so they have to sell their produce immediately after harvesting. Considering the research region, i.e., Nasik District, where most of the farm produce like grapes, cereals and vegetables have harvesting season in this period. Due to lockdown in the country, as COVID hit here, there have been more significant losses to grapes and other farms produce like cereals and vegetables. Nasik, which is the region of my research, has around 6 lakh farmers, wherein I have taken a sample survey of 100 farmers, which comprise small, marginal, medium, and large farmers. There is a need for change in agricultural practices wherein farmers should adopt concepts like proper supply chain management, cold storage, processing in a farm of whichever produce is possible, Direct marketing, Private wholesale market, organized retailing. Cold storage and cooperative storage facilities can play a significant role in such a critical situation. The need for change in agricultural marketing and coping with such issues as COVID is of utmost importance. New innovative ideas can help to sustain farmers in such severe problems.
Prospects of Digital Currency in India- A Way Forward
Authors: V. Bhat, , J. Nagarkar, , A. Singh,
Published: December 2022

The era of information and communication technologies has created many opportunities in every aspect. The field that has been benefitted the most from these recent developments in the financial and business sector. The scope and speed of evolution in technology, customer perception, and wide acceptance indicate that these technologies and disruptions will transform the finance and banking sector as we know it, providing both opportunities and challenges to financial institutions. Systems that have traditionally been used for savings, investments are not well suited given the scale and agility required for the digital age. Keeping in mind this array, financial institutions are responding with new digitization and innovation initiatives, using analytics, cloud technologies, and other new alternatives to respond to customer expectations. In a country like India, with a large economy and a despotic regime, the country shows decent economic growth even after having a complex system of arbitrary rules and regulations. Amidst all the growth, there is a huge scope of transforming the investment and lending patterns, with the help of technologies becoming more customer-centric and efficient. So, the technologies like blockchain are looking to drive innovation across various industries in India. In the era of blockchain, cryptocurrencies are the main part of it. They are said to be the most disruptive technologies in this area. This paper is an attempt to find the future of digital currency in India from the international experience.
The Effects of the Stakeholders Relationship Management during Pandemic
Authors: M.S. Aslami, , A. Uppal,
Published: December 2022

Partner management, partner relationship management examines have a significant spot in writing. We looked for their effect on organization performance through the Employee and Social parts of Company Evaluation interceding factors in Covid-19. Laborers were chosen to accomplish the objectives of the examination. Employees hold and as they are the internal stakeholders. Thus, it becomes necessary to explore their effect in stakeholder relationship management on organizational efficiency, which is highly competitive. The staff was essential to cover the organization’s accomplishments. If they functioned as a gathering, the impact might be exceptional. The organization’s management would comprehend the workers’ prerequisites and aspirations, and a management style of advanced organization systems was resolved. It was found from the investigation that inside partner relationship management framework is organizational performance. Via the eyes of European multinational organizations, the thesis examines the relationship between corporate social responsibility (CSR) and organizational success. Furthermore, the study investigates the role of corporate reputation as a moderator in the CSR-organizational performance linkages. The final data set included 340 responses from senior executives/managers at European multinational corporations.
A comparative analysis of using Moving Average Convergence Divergence indicator in the forex market with risk-free investment strategies
Authors: K. Sejwar, , M. Sethi,
Published: December 2022

Technical analysis has been widely studied in academic literature. It so is the Moving average convergence divergence (MACD) indicator in stock and forex markets. The research on MACD indicator mostly shows negative or mixed results when applied to the forex market. However, past studies do not take the fixed risk for every trade, have a very high value of risk employed for every trade that a trader will not mostly undertake, fixed stop loss, or a combination of these. This study analyses MACD indicator’s profitability and a strategy of using MACD indicator with an exponential moving average as a filter for getting into trades, on hourly data for EUR-USD, GBP-USD, USD-JPY from 1st January 2019 to 31st December 2019. It then compares it with risk-free investment strategies using US T-bills for the same period. Fixed and minimal risk of 1% of the initial account balance is employed for every trade. The findings suggest that the strategies fail to give profits more than any of the risk-free strategies for the currencies tested in this paper. In five out of six cases, three currency pairs for MACD strategy and the same three pairs for the MACD with exponential moving average (MACD-EMA) strategy do not generate profit. Only MACD-EMA (where EMA is used as a filter) strategy when applied to EUR-USD gives profit, which is also less than any riskfree investment strategy.
What is in a Meme: Analysing the Perception of Gen Z to Memes and Virality in Modern Marketing
Authors: I. Kala, , S. Pawar,
Published: December 2022

As the world of marketing has progressed into the age of the Internet, new challenges and opportunities have emerged. The online world has become a forum for social networking sites where knowledge spreads like wildfire. This form of spread is also referred to as viral because it is distributed from person to person rapidly. Companies have already started to pick up on this trend and have recognized the opportunity behind it; however, there is not enough research exploring what makes viral distribution happen and how marketers should leverage or manipulate this idea. This research is focused on a methodological analysis of an exploratory type with an antecedent theoretical context. By collating insights and evidence from published works on the themes of virality and memes, the paper seeks to build on current ideas and address them in the sense of the contemporary online climate. The paper identifies the rising Generation Z as a new disruptive player in the arena of purchase decisions that marketers must acknowledge and keep in mind when formulating and executing their marketing efforts online. The conclusion of this analysis indicates that although the theoretical framework of what we know memes and social media marketing is still relevant, it needs to be applied further, in a constantly adapting and up to date with the changing social and political landscape of society. However, a longer quantitative analysis with a substantial sample size representative of Gen Z candidates can result in a deeper understanding of memes, viral content, and how companies can utilize them to moderate profitable consumer activity within the online community.
Corporate Social Responsibility: A Legislative Gateway
Authors: P. Swarnim, , D. Hake,
Published: December 2022

India a country of as much diversity as is a hotspot for numerous contradictions. On the one hand, after much hardship, the country has emerged as one of the surging economies and a very important player in the new global order. In contrast, on the other hand, it is still combating issues related to impoverishment, starvation, and rights of undernourished children, societal welfare, and the like. The Indian economy sometimes rides a wave of boon and sometimes that of bane, which is because of an uneven, unseemly distribution of wealth throughout, which only increases social unrest; this uneven development and growth spread across the nation has targeted companies and corporate organizations for their contributions to the society. The scrutiny has only been increasing with the rising awareness of the gaps between the haves and the have-nots, which has further led to an outpouring in society’s expectations from the corporate giants. To this, the government has responded proactively, taking most of the corporate houses in its stride to provide for the society without commercial success and hence developing the nation getting in the way. The concept of Corporate Social Responsibility (CSR), a practice where companies realize profits and fulfill philanthropic, societal expectations, has taken ground since times immemorial only to become mandatory later. In the background of such a premise, CSR has time and again presented itself as a wonderful opportunity, the need of every hour and also as a serious challenge to be overcome, with its implications on almost every sector. Ever since it became a legal mandate in the year 2014, India has been a thriving “hotbed for innovative CSR scenarios,” in the words of D S Rawa, Former Secretary-General of ASSOCHAM. This paper seeks to trace the advent and growth of Corporate Social Responsibility in India through the eyes of the law, having undergone multiple legislative changes ever since the inception of the Companies Act, 2013. The paper also analyses the legislative amendments that are already afoot and awaiting enforcement. The researcher has tried to suggest the best possible ideological way forward in light of these multifarious changes, illuminating CSR’s import and primacy as a practice in the wake of the same.
Railway Stations Redevelopment Programme under PPP model in India: a Study of Consumer Perception towards Proposed Facilities
Authors: S. Sinha, , K. Chopra,
Published: December 2022

Public sector transport, especially Railways, solves an important mobility issue for people in India due to its long stretched network and potential to cater to every individual. Funding constraints, however, make it difficult to achieve service level and offerings at par with private players. Potential of Indian Railways has been underutilized for ages due to a lack of initiatives and a tight budget. PPP worldwide has set examples towards progressiveness of public assets. India has now proceeded on similar lines by launching world’s biggest transit-oriented development in public transport sector through Indian Railways. Railway Station Redevelopment program incorporating PPP model is believed to keep customer value at center. Main purpose of this study aims at analyzing which factors under this new Government initiative will play an important role in enhancing satisfaction level and experience of consumers after transformation and an attempt to fill research gap on perception of existing customers of Indian Railways on new offerings against what they are used to experiencing has been made. Exploratory factor analysis using a survey method on 250 respondents has been used to achieve results.
Fintech In Indian Capital Markets
Authors: H. Maurya, , P. Kulkarni,
Published: December 2022

The advent of advanced digital technologies has already caused disruptions across many industries. The financial services sector is also collaborating with Fintech to transform digitally. Post- demonetization, the Indian government created a favorable environment for Fintech. Many new financial products are brought in by new start-ups. Fintech has created a paradigm shift in availingof Financial Services. The primarily data-driven capital markets have been positively affected by Fintech. However, the technology implementation is still at a very nascent stage, and there are impediments and challenges along the way. This paper studies the application of advanced digital technologies in Indian capital markets through secondary research. It analyses gaps addressed by advanced digital technologies. It opens new avenues for potential breakthroughs and the impediments and challenges for implementing the technology. Fintech is an abbreviation for financial technology, which offers alternative technologies for banking and non-banking finance services. Fintech is a new term in the finance sector. The primary goal of this paper is to examine the opportunities and problems in the fintech sector. It describes the fintech industry’s evolution and the current financial technology (Fintech) in the Indian finance market. Fintech makes transfers safer for consumers by digitizing them. The advantages of Fintech platforms include lowering operating costs and a user-friendly interface. Indian Fintech services have the maximum growth in the country. Its services will alter the habits and behavior of Indian financial institutions.
Perceived Popularity of TikTok among Gen-Z
Authors: P. Jain, , J. Arakkal,
Published: December 2022

With web-based media, there developed huge open doors for individuals to develop their thoughts, interests, business, brands, or just themselves. Different applications cleared the way; however, just a couple of them were acknowledged by the crowd to endure and remain in the evolving scene. In such a domain, video content utilization and creation kept developing and growing with included highlights and channels, which brought forth the short-structure video creation application TikTok in 2016, hailing from Beijing. TikTok is a free short video-making application that is accessible on both AppStore and Google Play. It is difficult to look here and there to watch different recordings, remake, download, and share, make duets, and utilize various channels and sounds. The application broke the web due to its intriguing outcomes through the least endeavors. Fifteen seconds of name, fame, and achievement – TikTok is the main objective for short-structure versatile video. It is principally famous in pre-adolescents and teenagers; numerous youths are getting well known; however, at this stage. There are numerous major parts in the video stage like YouTube, Facebook, Instagram, Snapchat, etc. TikTok has its clients in millions everywhere over the world, including India. TikTok turned into another subculture that is arbitrary, chaotic, and addictive for the teenagers of the world. The application was a significant hit for Gen Z, as it involved the greater part of the dynamic clients and substance makers. TikTok optimizes content based on user-centric theory, user experience theory, UGC, and suggested algorithms, increasing consumer loyalty towards the app. This paper centers on building up and understanding the purpose for the enormous fame and development of Gen Z’s application as of late through a research paper.
Heart Disease Prediction Using Random Forest Algorithm
Authors: R. Vasanthi, , J. Tamilselvi,
Published: December 2022

Heart disease is one of the complex diseases and globally many of us suffer from this disease. On time and efficient identification of cardiovascular disease plays a key role in healthcare, particularly within the field of cardiology. An efficient and accurate system to diagnose cardiovascular disease and the system is predicated on machine learning techniques. The system is developed by classification algorithms using Random Forest, Naïve Bayes and Support Vector Machine while standard features selection techniques are used like univerate, feature importance , and correlation matrix for removing irrelevant and redundant features. The features selection are used for feature to extend the classification accuracy and reduce the execution time of the arrangement. The way that aims at finding significant features by applying machine learning techniques leading to improving the accuracy within the prediction of disorder. The heart disease prediction that Random Forest achieved good accuracy as compared to other algorithms.
LITHIUM EFFECT ON AUTOPHAGY AND CELL DEATH IN SKIN MELANOMA
Authors: Yu.S. Taskaeva, , I.S. Gogaeva, , A.Yu. Shatruk, , N.P. Bgatova,
Published: December 2022

Melanomas are a group of tumors produced by malignant melanocytes, and despite the fact that the recent advances in molecular therapy and immunotherapy of skin melanoma significantly help improve the outcome of the disease, nevertheless, spontaneous mutations and dysregulation of various signaling pathways contribute to the tumor aggressiveness and the development of the drug resistance. Autophagy is a conservative intracellular mechanism that maintains cell homeostasis by processing damaged organelles.
PLASMONIC PHOTOTHERMAL THERAPY IN EXPERIMENTAL ONCOLOGY: PROBLEMS AND PROSPECTS
Authors: A.B. Bucharskaya, , G.N. Maslyakova, , N.A. Navolokin, , D.A. Mudrak, , N.G. Khlebtsov, , B.N. Khlebtsov, , V.D. Genin, , E.A. Genina, , V.V. Tuchin,
Published: December 2022

Despite great advances in the treatment of cancer, the effectiveness of standard chemotherapy and radiation therapy for some malignant neoplasms remains insufficient. Plasmonic photothermal therapy (PPT) with plasmon resonance gold nanoparticles has been an intensively researched area in therapy in recent years [1, 2]. Successful PPT with nanoparticles for tumor treatment requires solving a number of problems associated with the potential toxicity and the bio-distribution of nanoparticles, including the development of the most efficient method of nanoparticle delivery, as well as optimization of their therapeutic protocol.
INNOVATIVE APPROACHES TO DEVELOPMENT OF GEROPROTECTORS-PHYTOADAPTOGENS FOR PREVENTIVE ONCOLOGY AND AGE-RELATED PATHOLOGIES
Authors: O.A. Bocharova, , R.V. Karpova, , E.V. Bocharov, , A.A. Aksenov, , S.V. Chulkova, , V.G. Kucheryanu, , I.V. Kazeev, , A.V. Revischin, , G.P. Pavlova, , V.E. Shevchenko, , O.P. Sheichenko, , N.S. Ionov, , V.S. Kosorukov, , V.V. Poroikov, , V.B. Matveev, , I.S. Stilidi,
Published: December 2022

At the present stage, the problems of preventive oncology are becoming more and more important, especially, at the stages of blastomogenesis, recurrence and metastasizing of tumors. Preventive measures can also be aimed at regulating the stress syndrome, improving the efficiency and safety of chemoradiotherapy, and improving the quality of life and rehabilitation processes for cancer patients. Promising in this aspect are approaches, which take into account the unique capabilities of natural antitumor geroprotectors: phytoadaptogens (PhA).
XENON-OXYGEN THERAPY AS A FACTOR OF NORMALIZATION OF ADAPTIVE AND PSYCHO-EMOTIONAL STATUS IN PATIENTS DIAGNOSED WITH CERVICAL CANCER AT THE SURGICAL STAGE OF ANTITUMOR TREATMENT
Authors: N.N. Popova, , A.I. Shikhlyarova, , D.A. Rozenko, , S.V. Tumanyan, , A.V. Shepelenko, , A.A. Korobov, , N.V. Netyvchenko, , E.Yu. Sugak, , A.Y. Ardzha,
Published: December 2022

Introduction. Radical surgical treatment of cervical cancer (CC) involves the removal of the uterus with suspected metastatic foci in the regional lymphatic collectors and the ovaries. In this case, total ovarian suppression in patients of reproductive age is accompanied by polysystemic functional disorders in the form of postovariectomy syndrome (POES), which is manifested by changes in homeostasis, neuroendocrine and cardiovascular insufficiency, pronounced disorders in the psychoemotional sphere with the formation of a persistent stress situation and the development of psychological dysfunction.
CIRCULATING DISIALOGANGLIOSIDE GD2 IN NEUROBLASTOMA DIAGNOSIS
Authors: M.D. Mollaev, , N.S. Ivanov, , E.A. Litvin, , V.V. Kara, , R.V. Kholodenko, , M.A. Maschan, , D.Yu. Kachanov, , T.V. Shamanskaya, , S.S. Larin,
Published: December 2022

Neuroblastoma is one of the most common solid tumors in children, characterized by high clinical heterogeneity and low predictability of the progression course. To assess the prognosis and response to therapy, protein tumor markers are often used, such as neuron-specific enolase, lactate dehydrogenase, ferritin as well as catecholamine metabolites: homovanillic acid, vanillylmandelic acid, 3-methoxytyramine, meta- and normetanephrine. Immunocytochemical studies have shown that many neuroblastomas are characterized by high surface expression of disialogangliaside GD2.
PRODUCTION AND LARGE-SCALE EXPANSION OF FUNCTIONALLY ACTIVE NK CELLS SUITABLE FOR USE IN IMMUNOTHERAPY OF HEMATOLOGICAL AND SOLID TUMORS
Authors: M.I. Lukashina, , P.N. Vikhreva, , A.V. Kibardin, , M.A. Maschan, , S.S. Larin,
Published: December 2022

Natural killer cells (NK) are part of the innate immune system of the body and play an important role in the immune surveillance of foreign cells and the body’s own altered cells, including the transformed ones. The NK cells, without prior stimulation, can eliminate target cells which do not express their own MHC class I molecules or express stress-induced molecules. These basic, natural functions of the NK cells as a tool in the fight against malignant tumors have attracted particular attention. For this purpose, various approaches are used to increase the number and/or enhance the functional activity of the NK cells. One approach uses cytokines to selectively increase both the number and effectiveness of the NK cell antitumor function. Another approach focuses on checkpoint inhibitors targeting the NK cell receptor. Bispecific and trispecific activators have been developed to enhance the specific immune response by cross-linking specific tumor antigens with effector cells. In addition, methods of adoptive transfer of the NK cells have shown promising results, however, a fairly large volume of cell mass is required there.