Background: Acute and chronic heart or kidney failure affect each other in cardiorenal syndromes (CRS). In CRS, hemodynamic and non-hemodynamic changes occur, causing acute or progressive renal and cardiac failures. CRS is classified into five types based on the first organ failure and causes failure of the other organ. We believe that the current CRS classification is not the correct one that effectively describes the underlying cause of CRS. Hence, we consider it better to be classified into three categories (cardiorenal, renocardiac, and cardio-reno-cardiac syndrome) and then subdivided into acute and chronic types or types 1 and 2 (respectively, according to the onset of the underlying type of failure (i.e., acute or chronic). Other subtypes that occur inthe heart and dysfunction occur simultaneously are acute cardio-reno-cardiac syndrome (type 5) and Chronic cardio-reno-cardiac syndrome (type 6). Aim: In Part 1 of the review series, the pathophysiological mechanisms and clinical and therapeutic applications of all types of CRS will be narratively discussed and updated. Furthermore, we provide a comprehensive review of diagnostic biomarkers and their clinical significance in the identification, outcome prediction, and treatment of all CRS types. Method: An extensive search of PubMed, Google, EMBASE, Scopus, and Google Scholar was conducted for review articles, original articles, and commentaries published between Jan 2010 and Aug 2024 using different phrases, texts, and keywords, such as CRS, renocardiac syndrome, and CRS. The topics included secondary CRS, CRS pathogenesis, CRS therapy, SLGT inhibitor use in CRS, novel therapy in CRS types, and prevention of CRSs. Conclusion: Renal and cardiac failure in patients with CRS seem to have different pathophysiological mechanisms. Early detection and treatment can improve the outcomes of CRS. Clinical manifestations and therapy protocols vary according to pathophysiology. Hence, new guidelines and research on universal diagnostic and treatment techniques are urgently required. Moreover, the current nomenclature for CRS is confusing; therefore, we believe that a new nomenclature system should be introduced, reducing confusion and making differentiation between CRS types easier and less confusing.

Karishma

Effective crisis communication response through using the proper strategies is critical to cope with crises and to protect the reputation and existence of the involved parties. Usually, aviation accidents receive great attention from the media and the public. Malaysia Airlines Flight 17 (MH17) which was shot down over eastern Ukraine on 17 July 2014 during its scheduled flight from Amsterdam to Kuala Lumpur received global attention. This attention was due to the involvement of several countries either at the level of the countries of victims or the countries accused of the attack. Image repair theory proposed by William Benoit, the widely used in crisis communication response was implemented in this study. The Russian response to the international accusation, especially from the Western world on supporting the attackers of MH17 has been examined in this study. This study implemented both quantitative and qualitative content analysis to achieve its aims. A total of 306 news stories from the online New Straits Times newspaper Website from the years 2014 to 2019 were analysed. A total of 191 strategies were included in 123 news stories since some stories combined more than a strategy. Out of 191 strategies, 43.5% were simple denial, followed by shift the blame and attack accuser with 35.1% and 21.5% respectively. The results revealed that the image repair effort by Russia was effective and successful.

Mohammed fadel arandas

Introduction: The prevalence of oral hygiene behaviors (OHB) is very low among school children in Ethiopia. However, the determinants of student's readiness/intention to perform those behaviors have been remained unstudied. Objective: This study aimed to identify the determinants of oral hygiene behavioral intention (OHBI) among preparatory school students based on the theory of planned behavior (TPB). Methods and materials: An institution-based cross-sectional study was conducted among 393 students. A 98-item self-administered questionnaire was used to evaluate oral hygiene knowledge (OHK), oral hygiene behavior (OHB), and OHBI based on TPB variables [attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC)]. Descriptive statistics and structural equation modeling analysis (SEM) were employed to confirm relationships and associations among study variables. A p-value of less than 0.05 and a 95% confidence interval were used to declare statistical significance. Results: A total of 393 students were participated with a response rate of 97.5%. The mean age of the participants (54% females) was 18 (± 1.3) with an age range of 16 to 24. The TPB model was well fitted to the data and explained 66% of the variance in intention. ATT (β = 0.38; 95% CI, (0.21, 0.64)), SN (β = 0.33; 95% CI, (0.05, 0.83)) and PBC (β = 0.29; 95% CI, (0.13, 0.64)) were significant predictors of OHBI, where ATT was the strongest predictor of OHBI. Conclusion: The TPB model explained a large variance in the intention of students to improve their OHB. All TPB variables were significantly and positively linked to stronger intent, as the theory suggests. Furthermore, these results suggest that the model could provide a framework for oral hygiene promotion interventions in the study area. Indeed, these interventions should focus on changing the attitudes of students towards OHB, creation of positive social pressure, and enabling students to control OHB barriers.

Kegnie shitu

Coronaviruses are closely related virus causing several types of respiratory tract infections ranging from common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and severe acute respiratory syndrome (SARS). There are many other ways in which Covid-19 will impact the existing public health issues. With the rising number of covid19 cases, it has been reported that people with the weaker immune system are at higher risk. We identified the mechanism of action of cyclophosphamide and its impact on the lung. Pulmonary side effects associated with cyclophosphamide are rare and dose-related. They manifest as early-onset pneumonitis, in patients with symptoms especially like cough and dyspnea. Acrolein in cyclophosphamide is the main component linked with the toxic effect. We hypothesize that use of cyclophosphamide, an antineoplastic agent and immunosuppressive agent used in treating many cancers and autoimmune disorders (like rheumatoid arthritis and ANCA vasculitis), induces severe lung toxicity which can be one of the contributing factors for the increased risk of COVID 19 complication. These factors are to be recognized to improve prevention and control of the disease.

Ankul singh

The study identified the pragmatic competence level of the second language (L2) learners through Written Discourse Completion Test (WDCT) administered to purposively selected 40 first-year education students. A modified questionnaire based on Survey for Academic English Language Exposure (SAELE) was used to determine the effectiveness of academic English language exposure on the pragmatic competence development of the respondents. The study employed the descriptive-correlational method, while various statistical tools were utilized to analyze and interpret the data. Weighted mean was used to determine the respondents’ pragmatic competence level and the effectiveness of academic English language exposure on the pragmatic competence development of the respondents. Moreover, Pearson Product Moment Correlation (PPMC) was employed to determine the significant relationship between the two variables. Results in WDCT showed that the average scores in the pre-test and post-test results fall under the competent level. Meanwhile, the effectiveness of academic English language exposure on the pragmatic competence development of the respondents was 0.207, which is ineffective. Lastly, the statistical correlation of the two variables showed no significant relationship between them (r=0.046, p>0.05). Based on the study’s results, pedagogical implications for pragmatic and L2 teaching and learning were conceptualized.

Darrel ocampo

In the last decade, we have observed the usage of artificial intelligence algorithms and machine learning models in industry, education, healthcare, entertainment, and several other areas. In this paper, we focus on using machine learning algorithms in the loan approval process of financial institutions. First, we briefly review some prior research papers that dealt with loan approval predictions using machine learning models. Next, we analyze the loan approval prediction dataset we downloaded from Kaggle, which was used in this paper to compare several machine learning classification models. During this analysis, we observed that credit scores and loan terms are the attributes that probably most affect the result. Next, we divided the dataset into a training set (80%) and a test set (20%). We trained 27 various machine learning models in MATLAB. Three models were optimized with Bayesian optimization to find the best hyperparameters with minimum error. We used 5-fold cross-validation for the validations to prevent overfitting during the training. In the following step, we used the test set on trained models to measure the models’ accuracy on unseen data. The result showed that the best accuracy both on validation and test data, more than 98%, was reached with neural networks and ensemble classification models.

Ladislav végh

Dengue is an acute infection disease caused by a flavi virus (species Dengue virus of the genus Flavi virus), transmitted by female mosquito aedes mosquito, infection has globally become a major public health concern since the incidence of the dengue fever has increased more than 30-fold over the last decades. The dengue fever has been a most important public health problems since many years and the various outbreak of the dengue cases has been seen time to time. One of the reasons for the increasing and time to time outbreak of the dengue may be the reason of climate change, global warming, lack of knowledge about signs, symptoms, transmission, preventive measure and lack of ignorance or lack of the preventive practice of the dengue fever. Method: Descriptive, cross-sectional study on 192 head of household's was study population residing in Kanchan RM, Rupandehi Respondent was selected using Non probability judgmental sampling techniques by face-to-face interview was used. Result shows 58.3% good knowledge and 62% good practice. Knowledge was found to be associated with Age, Types of family, Size of family, educational level and Family suffered from dengue. Preventive practice was found to be associated with the Ever heard from health professional. Study will contribute towards development of appropriate policy strategies at local level that will tackle the problem associated with the knowledge and preventive practice of DF and provide a basis for future research on this area. Inferential analysis shows that there is significant association between the level of knowledge with age, types of family, size of family, educational level and family suffered from dengue and the level of preventive practice was associated with the ever heard from health professional.

Raju khanal

Background: As Bangladesh has gained the reputation of improving the health sectors, much health related sites still require improvements. Community clinic services (CCS) may contribute to this sector with its foremost importance. So this study was conducted to investigate the utilization and health services provision by community clinics (CCs) in rural area. Methods: A descriptive longitudinal study was conducted among three community clinics of Jashore and a structured questionnaire was developed on which most of the questions were developed to find out the contributions of these community clinics. Here for data analysis we used SPSS version 25.0 software. Results: Here we analyzed health service related data from three randomly selected community clinics (CCs). We found an average of 15 patients got antenatal care every month by the Komlapur CC throughout the year. About 140 patients received health services per month from Dogachiya CC. About 634 children were benefited by Saziyali CC throughout the year. By this study we came to know that average 67-75 patients were provided iron supplementations each month by Saziyali CC. All of the CCs had active referral system and online reporting system. Conclusion: From our study we came to know that majority % of rural people are now dependent on community health care services. But most of the community clinics have many limitations regarding infrastructure, training, medicines, financial etc. So the government should take necessary steps regarding this.

Arafat hassan razon

The phrase, "The world is ageing, but India has youth on her side," has been a soothing phrase. The average age of the Indian population will be 29 at the conclusion of this decade. As a result of this "demographic dividend," India is expected to account for a quarter of the world's additional increase in working population by 2040. There are 430 million people in our current workforce (ages 15 to 64). India will add 480 million people to its current workforce of 430 million in the next 20 years. Education is the most important tool for converting this demographic dividend into a sustainable economic resource and unlocking human capital's hidden potential. The suggested article attempts to identify gaps and loopholes in the education system utilising the basics of the Capability Approach as a comprehensive mechanism of evaluation and strategies to solve the aforementioned problems, allowing us to take advantage of our country's large demographic dividend.

Dr. amarjeet singh

The study of molluscan animals is called Malacology and the study of molluscan shell is called as conchology. The scaling of metabolic rates with body mass is one of the best known and most studied characteristics of aquatic animals. We studied here how body size is related to rate of oxygen consumption, ammonia excretion and O: N ratio in Freshwater Bivalve Mollusc Lamellidens marginalis species in an attempt to know how body size specific changes affect their metabolism. The freshwater bivalve molluscs with specific body size i.e. small (76-79 mm in shell-length) and large (90-94 mm in shell-length) were chosen for experimental work from Bhima River at Siddhatek on April and May during summer. The adult bivalve molluscs with small body size reported high value in rate of oxygen consumption and O: N ratio but rate of ammonia excretion was low value in small body sized bivalves compared to large ones. The results are discussed in the flush of metabolic processes in fresh-water bivalve molluscs.

Dr. pritesh ramanlal gugale

Community acquired pneumonia is a prevalent disease in the Emergency Department (ED). The literature reveals that clinical practice could not be related with guidelines recommendations. The aim of this study is to determine the impact of the implementation of the recommendations of the Spanish society of Emergency Medicine in the Hospital Clínico Universitario Lozano Blesa (Zaragoza) ED in the management of community acquired pneumonia. Use of Pneumonia Severity Index (PSI) estimation was used to assess the adherence. This study was carried out from December, 2014 to February, 2015. Data was compared with the previous two months. The indicators management (discharge or admission decision, adequacy and anti-biotherapy) as well as the incidence of PSI estimation before and after the intervention in these parameters were evaluated. 209 patients were included, 97 before the intervention and 112 after the intervention. No significant differences were observed in the calculation of PSI. A significant decrease of admissions was observed after the intervention in the patients in whom the PSI was calculated (68.8% vs. 45.0%, p < 0.05). A greater use of the Observation Room was aimed at those patients in whom the PSI was calculated (06.3% vs. 17.5%, p < 0.05). PSI calculation significantly increased antibiotic prescription adherence (88.9% vs. 75.2%, p < 0.05). There were no modifications in the prescription after the intervention. In conclusion, PSI is a useful and effective measure to achieve a greater adherence to the recommendations. However, despite the positive trend in the use of the PSI and its interpretation, a low-intensity intervention is not sufficient to generalize its use.

Mediterranean journal of pharmacy and pharmaceutical sciences

Background: The deliberate postponement of significant academic assignments with due dates is known as academic procrastination. The undesirable habit known as procrastination is the inability to start or finish a task within the allotted time, which results in detrimental effects on students' future employment, as well as stress, guilt, poor academic achievement, and low self-esteem. Method: Descriptive Research design was adopted for a study to assess the Variables influencing Nursing students' Academic Procrastination at selected Nursing college of Bhopal, M.P. Sample size 60 B.Sc. Nursing students. Result: Result revealed that majority of students were females, 27 out of 60 were in age group of 20-21yeras, 25 (41.6%) were studying in B.Sc. N 3rd year. Most of students resided in Rural area (36), 54 out of 60 belong to nuclear family and 35 mothers of students were educated as compared to 51 fathers. The mean score and SD of influencing variables of academic procrastination were as follows Personal variable was 2.6 ± 0.48, Environmental 2.26 ± 0.71, and Academic was 1.78 ± 0.41. Majority of nursing students 39 (65%) were moderately affected by Personal variables, Environmental variables affected 23 (38%) students moderately and academic variables affected 17 (28%) students moderately. Only Personal factor had more effect on 5 students as compared to none in other two variables. Conclusion: The study concluded that Environmental and personal factor had more effect on Academic procrastination as compared to academic variables.

Dr k c yadav

For a long time, cardiovascular diseases have been the leading cause of death worldwide. Machine learning has found significant usage in the medical field as it can find patterns in data. Classification models can help cardiologists to diagnose heart diseases and minimize misdiagnosis accurately. In this paper, we explored a dataset related to heart disease and compared the accuracy of 43 machine learning classification models. The dataset for this research was downloaded from Kaggle; it contained 1190 observations, 11 features (age, sex, chest pain type, resting blood pressure, serum cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise induced angina, oldpeak, the slope of the peak exercise ST segment) and a binary target variable (no heart disease or observed cardiovascular disease). For data exploration, preprocessing, training, testing, and predictor importance analysis, we used MATLAB R2004a software and the Classification Learner app included in this software. Before training machine learning classification models, we divided the dataset into a training set (90% of observations) and a test set (10% of observations). To prevent overfitting during the training of classification models, 10-fold cross-validation was used. The result showed that the best accuracy was reached with an optimized ensemble classification model (validation accuracy: 0.9262 and test accuracy: 0.9580). After calculating the permutation importance of each feature, we observed that the most important feature among all 11 features was the slope of the peak exercise ST segment.

Ladislav végh

Background: Cancer is burden for almost all societies in the world. It is estimated that approximately 20 million persons are suffering with cancer and every year 10 million die due to cancer. Methods: A descriptive and comparative survey from January 2024 to June 2024 with a quantitative research approach was used. The non-probability convenient sampling technique was used, and 60 nurses (30 each from Cancer Hospital; and General Hospital) had given consent for participation in the study. The tools used for data collection were personal profile, structured knowledge questionnaire, modified Likert-type attitude scale, and opinionnaire for utility of SIM. Results: The study found that 83.35% of General Hospital and Cancer Hospital nurses had strong knowledge, while 10% and 6.66% had low knowledge. All nurses from both institutions have mildly positive to extremely positive thoughts about how oral cancer affects oral hygiene and nutrition. Mean knowledge scores of nurses from General and Cancer hospitals were 14.73 and 16.33, and mean attitude scores were 149.80 and 150.20. Cancer hospital nurses' expertise and attitude correlated significantly. The results show that 86.67% of nurses believe SIM is a valuable source of information and content to assist them better manage oral cancer patients' oral hygiene and nutrition. Conclusions: The study found that cancer hospital nurses had a higher mean knowledge score than general hospital nurses. Thus, knowledge and attitude are linked, and nurses with higher knowledge have a more positive attitude.

Dr k c yadav

Most of mosquito-repellent products and devices are made up of synthetic materials presenting market which causes various harmful effects on human beings. The resistance can be developed by the mosquito due to continuous exposure at high doses. Hence, the present research work represents the development and evaluation of mosquito repellent sticks with the help of various herbal products such as starch powder, wood powder, charcoal powder, eucalyptus oil, coconut oil, lavender oil, lemongrass and cinnamon oil, peppermint and citronella, neem oil making them ozone-friendly, financial effective, non-harmful.

Archana mehrotra

One of the unique features of Indian society is prevalence of caste system which was originated thousands of years back to demarcate the people engaged in different occupation or jobs. Initially it was not much rigid but gradually people belonging to upper castes for their own selfish means to maintain their monopoly made this arrangement hereditary and started treating people of lower castes disgracefully. For preservation of this system, people started controlling their women to prevent inter-caste marriages and the concept of endogamy came up. This robbed away many types of freedom from women. For women belonging to lower castes, this situation is worse as they are doubly subjugated on the basis on caste as well as gender. Men belonging to their own caste treat them as secondary beings. This paper throws light on this intersection. How intersection of these two kinds of inequalities place them at the lowest position in Indian society. Dr. B.R. Ambedkar rises as their leader who all his life worked for empowerment of downtrodden section of society. He argues that education is the primary tool for evading these differences among people. He further emphasizes to adopt the concept of exogamy to break the backbone of Indian caste system and to immediately leave a religion or culture which legitimizes such system of inequality among people of the same land.

Swati sharma

Metabolic dysfunction-associated fatty liver disease (MAFLD) and type 2 diabetes (T2D) are interconnected metabolic disorders with significant health implications. However, a comprehensive understanding of the extent of their co-occurrence in Africa is lacking. The aim of this review was to determine the prevalence of MAFLD and its association with glycemic control (HbA1c) in persons with T2D in Africa. A systematic search was conducted on PubMed, Medline, Embase, Scopus, Global Health, and Web of Science from their inception to December 6, 2023. Data on MAFLD prevalence and correlation coefficients regarding its association with glycemic control were pooled through random effect meta-analyses. Potential sources of heterogeneity were investigated using subgroup analysis and meta-regression. A total of 10 studies were included in the meta-analysis of MAFLD prevalence, while 2 were incorporated in the analysis of the association between MAFLD and glycemic control. The pooled prevalence of MAFLD in persons with T2D was 48.1% (95% CI: 36.1–60.3). The subgroup analysis revealed regional variations in MAFLD prevalence, with rates of 44.7% (95% CI: 28.7–62.0) in sub-Saharan Africa and 55.3% (95% CI: 36.2–73.0) in Northern Africa. Additionally, we observed an increasing trend in MAFLD prevalence, recording 55.1% (95% CI: 43.6–66.1) in the recent five years. There was a weak positive correlation between MAFLD and HbA1c (r = 0.33, 95% CI: 0.18–0.47). The findings of this study highlight a high prevalence of MAFLD in persons with T2D in Africa, with a suggested link between MAFLD and suboptimal glycemic control. Therefore, healthcare providers should prioritize the screening and management of MAFLD in individuals with T2D to enhance their metabolic health.

Emmanuel ekpor

Urolithiasis is a common worldwide problem with high recurrence. This review covers thirteen (13) antiurolithiatic plants of the family Boraginaceae, twenty (20) from Brassicaceae, twenty-three (23) from Malvaceae and twenty-four (24) from Poaceae used globally in different countries. Hopefully, this review will be helpful for the general public and attract the scientific world for antiurolithiatic drug discovery.

Dr. salman ahmed

How great would it be if you never forgot anything or never lost the ability to think and be creative? And just imagine how much more great it would be if your brain can be reconstructed so that it can stay young forever and be used to create wonders even after your death? It would be a great leap in the field of science if the brains of great minds like Steve Jobs or Albert Einstein can be recreated. That is exactly what the blue brain does. The blue brain project is an attempt to reconstruct the brain piece by piece and building a virtual brain in a supercomputer. It began in 2005 with an agreement between the EPFL and IBM, which supplied the Blue Gene/L supercomputer acquired by EPFL to build the virtual brain. The computing power needed is considerable. Each simulated neuron requires the equivalent of a laptop computer. A model of the whole brain would have billions. Supercomputing technology is rapidly approaching a level where simulating the whole brain becomes a concrete possibility. The main aim is to update the brain into a computer. As a first step, the project succeeded in simulating a rat cortical column. Efforts are now being made to simulate the human brain. In five years of work, Henry Mark ram’s team has perfected a facility that can create realistic models of one of the brains essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. This modeling will expand to all the areas of the brain and if successful, shed light on the relationships between genetic, molecular and cognitive functions of the brain. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.

Dr h shaheen

Biological information processing networks rely on allosteric protein switches that dynamically interconvert biological signals. Construction of their artificial analogues is a central goal of synthetic biology and bioengineering. Receptor domain insertion is one of the leading methods for constructing chimeric protein switches. Here we present an in vitro expression-based platform for the analysis of chimeric protein libraries for which traditional cell survival or cytometric high throughput assays are not applicable. We utilise this platform to screen a focused library of chimeras between PQQ-glucose dehydrogenase and calmodulin. Using this approach, we identified 50 chimeras (approximately 23% of the library) that were activated by calmodulin-binding peptides. We analysed performance parameters of the active chimeras and demonstrated that their dynamic range and response times are anticorrelated, pointing to the existence of an inherent thermodynamic trade-off. We show that the structure of the ligand peptide affects both the response and activation kinetics of the biosensors suggesting that the structure of a ligand:receptor complex can influence the chimera's activation pathway. In order to understand the extent of structural changes in the reporter protein induced by the receptor domains, we have analysed one of the chimeric molecules by CD spectroscopy and hydrogen-deuterium exchange mass spectrometry. We concluded that subtle ligand-induced changes in the receptor domain propagated into the GDH domain and affected residues important for substrate and cofactor binding. Finally, we used one of the identified chimeras to construct a two-component rapamycin biosensor and demonstrated that core switch optimisation translated into improved biosensor performance.

Cagla ergun ayva