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Today, it is well known that Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has four types of proteins within its structure, between them the spike protein (S). The infection mechanism is carried out by the entry of the virus into the human host cell through the S protein, which strongly interacts with the human cell receptor angiotensin-converting enzyme 2 (ACE2). In this work, we propose an atomic model of the Receptor Binding Domain (RBD) of the S spike protein of the wild-type SARS-CoV-2 virus. The molecular structure of the model was composed of 50 amino acids that were chemically bonded, starting with Leucine and ending with one amino acid Tyrosine. The novelty of our work lies in the importance of knowing the sites and zones of maximum reactivity of the RBD from the fundamental levels of quantum mechanics considering the atomic structure of matter. For this, the local and global reactivity indices of the RBD were calculated, such as frontier orbitals, Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO), Fukui indices, chemical potential, chemical hardness, electrophilicity index; with this, it will be possible to know what type of molecules are more likely to interact with the RBD structure, and in this way, new knowledge will be generated at the quantum, atomic and molecular level to inhibit the virulent effects of wild-type SARS-CoV-2. Finally, in order to identify the functional groups within the most stable structure and thereby verify the future reactions that can be carried out between the RBD structure and biomolecules, the Infrared (IR) absorption spectrum was calculated. For this work, we used Material Studio v6.0 which uses the density functional theory (DFT) implemented in its DMol3 computational code. The IR spectrum was obtained using the Spartan ‘94 computer code. One novelty would be that we found nine amino acids more that could make the RBD and ACE2 binding further the already known. Thus, the Mulliken charge distribution indicates that the highest concentrations of positive and negative charge are found in the zones 477S, 478T, 484E, and 501N amino acids letting ionic or Van der Waals possible interactions with other structures.

Aim: A descriptive-analytical study was done to assess the proportion of the risk of stroke among male patients attending the outpatient department of a tertiary care hospital, in Ernakulam District, Kerala. Objectives: The objectives of the study were to assess the proportion of the risk of stroke among male patients attending outpatient departments and to determine the association of stroke risk level with socio-personal variables. Methods: The research approach of the study is a quantitative approach. The research design selected for the study is a descriptive-analytical design. The convenience sampling method was used for sample selection. The study was done in MOSC Medical College Hospital, Kolenchery among 288 male patients who met the inclusion criteria. Data collection was done using socio-personal proforma and stroke risk scorecards. Results: Collected data were analysed by using descriptive and inferential statistics presented in tables and pie diagrams. The study findings revealed that out of 288 subjects, 43.4% have low stroke risk, 13.9% are in caution and 42.7% have high stroke risk. The findings also revealed that there is a significant association of stroke risk level with age, education, occupation, BMI and place of residence. Statement of the problem: Proportion of risk of stroke among male patients attending outpatient department of a tertiary care hospital, Ernakulam district, Kerala. Proportion of risk of stroke among male patients attending outpatient department of a tertiary care hospital, Ernakulam district, Kerala.

Objective: To identify risk factors among pregnant with COVID-19 for adverse outcomes related to disease severity, maternal mortality, and morbidity.Materials and methods: In this retrospective study, 45 pregnant patients with COVID-19 pneumonia were confirmed by RT-PCR. The inclusion criteria were pregnant patients diagnosed with COVID-19 confirmed by RT-PCR and hospitalized in the gynecology-obstetrics and intensive care unit. Exclusion criteria were non-pregnant patients and pneumonia cases with unconfirmed COVID-19 causes. The study used SPSS software to analyze the data. Results: Our study recorded 45 cases of SARS-CoV-2 infection in pregnant women over 2.5 years. The age group most affected was 20-35 years, with 75% of cases. 57% of patients had no known comorbidities. 88.8% of patients were symptomatic at diagnosis. Almost 30% of patients required admission to the ICU, with 60% requiring oxygen supplementation. The study recorded 36 live births (80%), of which 26 cases (72.2%) required no further care and had a favorable outcome.Conclusion: Pregnant women with medical conditions are at higher risk of severe COVID-19, which can cause respiratory distress syndrome and impact delivery and neonatal outcomes. Preventive measures are important.

Methyl Jasmonate (MeJA) can be used as a signal molecule to regulate the expression of resistance genes in the resistance to abiotic stress, thus improving the salt tolerance of wild jujube. Among the resistance genes combined with methyl jasmonate, transcription factors play an important role in response to salt stress. However, the interaction of transcription factors in different tissues under salt stress and the regulation of transcription factors by MeJA remain unclear. In this study, the effects of MeJA on transcription factor expression in wild jujube under salt stress were investigated, and the differences in transcription factor expression among different tissues were compared. It was found that MeJA could increase the type and quantity of transcription factors responding to salt stress. The types of transcription factors responding to salt stress were roughly the same among different tissues, but the quantity and expression of the transcription factors were significantly different. The results of transcription factor co-expression analysis showed that transcription factors play synergistic roles in the face of abiotic stress, which can provide preferable genes for subsequent transgenic work.

Worldwide, statistical data of people infected by COVID-19 has been taken until March 29, 2023, which, when correlated, showed a predictive logistic  model. The purpose was to determine the predictive model, which was acceptable, in such a way that the proportionality constant and the correlation and determination coefficients are of great importance to estimating epidemiological and pandemic data; coinciding with what was reported by other authors. Bearing in mind that a mathematical model is a mathematical description through a function or equation of a phenomenon in the real world; whose purpose is to understand infections and make predictions for the future. The stages were: to model the number of people infected as a function of time, formulate, and choose the logistic model, determine the model and obtain mathematical conclusions, and make predictions (estimates) about the number of people infected by COVID-19 worldwide. The logistic model was derived to predict the speed of people infected by COVID-19 and the critical time (tc = 733 days) for which the speed was maximum (1694,7209 infected/day). The Pearson correlation coefficient for the time elapsed (t) and the number of people infected (N) worldwide, based on 32 cases, was r = -0.88; the relationship between time and those infected is real, there is a “very strong correlation” between the time elapsed (t) and the number of people infected (N) and 77.03% of the variance in N is explained by t. 

What is time? Is it a physical quantity, illusion, or dimension? Defining time is challenging and fascinating. We often consider time as a dimension to help us understand the concept of space-time. Time undeniably exists, but we can only sense its presence through its effects. For instance, if we take two apples, one bought months ago and the other just a day ago, we can tell that one apple was bought a long time ago because it had rotted. We express time as the effect caused by it. If there were no effects of time on this universe, then the concept of time would not exist [1,2].

Strep throat, a common affliction known for its hallmark symptom of a severe and sudden sore throat, is caused by the bacterium Streptococcus pyogenes, classified under Group-A Streptococcus (GAS) [1]. This condition not only impacts millions globally but also carries the risk of severe complications if left untreated [2]. Understanding strep throat goes beyond recognizing its symptoms; it entails an appreciation of its transmission dynamics, potential complications, and the evolving landscape of treatment and prevention strategies [3].

Neurodegenerative disorders (NDDs) pose a significant global health challenge, impacting millions with a gradual decline in neurons and cognitive abilities. Presently, available NDD therapies focus on symptom management rather than altering the disease trajectory. This underscores the critical necessity for groundbreaking treatments capable of addressing the root causes of neurodegeneration, offering both neuroprotection and neuro-restoration. This in-depth review delves into the forefront of emerging NDD therapies, encompassing gene therapy, stem cell therapy, immunotherapy, and neurotrophic factors. It sheds light on their potential advantages, hurdles, and recent advancements gleaned from both preclinical and clinical studies. Additionally, the document outlines existing NDD treatments, spanning pharmacological and non-pharmacological interventions, along with their inherent limitations. The overarching conclusion emphasizes the immense potential of emerging therapies in NDD treatment, yet underscores the imperative for continued research and optimization to ensure their safety, efficacy, and specificity.

Oral Cancer (OC) or squamous cell carcinoma of the oral cavity accounts for approximately 3% of all cancers worldwide, with increased incidence in developing countries. The use of tobacco is directly associated with approximately 80% of oral cancers, especially in older men over 40 years of age. As nearly one-third of the Indian population over 15 years consume smokeless tobacco in one or the other forms, a recent increase has been observed in OC incidence among women and young adults. Lately, the sexual behaviors of young & homosexuals have resulted in the emergence of oropharyngeal cancers due to infection with HPV 16. About 60% of oral cancer cases in India have a five-year survival rate, and this can be improved to 70% to 90% by mere early detection in stages I and II and with various treatment modalities. Despite the well-known benefits of oral cancer screening for the whole population in developing countries remains controversial. It is imperative to address the cultural barriers and societal norms, which limit the acceptability and participation in screening programs in India and many developing countries. This unique challenge of increasing OC morbidity in India and developing countries requires horizontal integration of the health systems with new services focused on cancer control, which gives the best chance for long-term survival, improved outcomes, and affordable care!This article is based on the author’s experience of overseeing 1 case of early detection and 2 cases of delayed diagnosis, outcomes and relevant literature review, and current guidelines for the management of OC.

Purpose: The role of healthcare workers in cervical cancer prevention is pivotal because healthcare workers’ recommendations have been reported to be a key motivational factor for cervical cancer screening among women in Nigeria. Assessing their knowledge, attitudes, and practices on cervical cancer prevention is necessary.Patients and methods: This is a cross-sectional survey involving healthcare workers in Ekiti State, Nigeria. A questionnaire designed for the study was used to obtain data about the knowledge, attitudes, and practices of the healthcare workers. Logistic regression was used to assess the determinants of practice and a p - value of less than 0.05 was taken as statistically significant.Results: Out of 188 participants that completed the study, 165(90.7%) had good knowledge about the prevention of cervical cancer while 24(13.2%) had good practice concerning the prevention of cervical cancer. positive attitude (Odds ratio 1.24, 95% CI 1.14 - 1.35, p < 0.001) increased the odds of good practice.Conclusion: There was no association between the knowledge of cervical cancer prevention and the practice of the healthcare workers. Further research is required to explore the incongruence between knowledge and practice of cervical cancer prevention and its practice.