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A Chatbot is a software application that replaces a live human agent to conduct a conversation via text or text to speech. It is designed to behave like a human would behave in that conversation. In this system, we demonstrate a chatbot that uses Artificial Intelligence to produce dynamic responses to online client enquiries. This web-based platform provides a vast intelligent base that can help humans to solve problems. The chatbot recognises the user's context, which prompts an intended response. Because this is a dynamic response, the user's desired response will be generated. This also uses a machine-learning algorithm to learn the chatbot by experiencing various requests and responses. Chatbots come to use in numerous fields of our daily life. Because AI enhances the human touch in every communication, chatbots are becoming increasingly robust.. It triggers accurate responses after understanding a user's query. Its objective is to reduce human dependency in every organisation and reduce the need for different systems for different processes.

Regardless of many extensive studies, hormonal-based breast cancer is the most common cause of cancer-related mortality of females worldwide. Indeed, estrogen receptor-positive (ER +) is the communal subtype in breast cancer. To treat this, three types of medications are typically used: selective estrogen receptor modulators (SERMs), selective estrogen receptor down modulators (SERDMs), and aromatase inhibitors (AIs), all of which directly interact with the activation of the estrogen signaling pathway and its formation. Despite their effectiveness, the development of new treatments is required since clinical efficacy is restricted owing to resistance. As a result, in silico studies for drug discovery are booming over the decades because of their affordability and less time-consuming features. Here, 25 deketene curcumin derivatives have been selected for docking studies through MVD software over the positive type of breast cancer through both the treatment hosts Erα + receptor and aromatase. DKC compounds are used because they have several pharmacological uses, including anti-cancer, anti-diabetic, anti-viral, anti-fungal, and anti-bacterial properties. Moreover, an ADME study was carried out for DKC derivatives that reveal the optimum drug-likeness profile. From 25 derivatives, the results showed a better MolDock score, hydrogen bonding, and steric interaction between compounds DKC-10, DKC-20, and DKC-21 with Erα + and aromatase. Although the study was done on both the treatable path hosts, better results were obtained with Erα + as an antagonist. Therefore, it is proposed that three selected DKC derivatives would be better therapeutic agents against breast cancer. Supplementary information The online version contains supplementary material available at 10.1007/s11224-021-01871-2.

In Experiment 1 of this project, we found that, contrary to our predictions, participants in the no-breaks condition performed significantly better on the lecture quiz than those in the open-ended break(s) conditions. In addition, we found that participants in the single long open-ended break condition performed significantly better on the lecture quiz than those in the multiple short open-ended breaks condition. Interestingly, we found that participants who took at least one open-ended break during the lecture reported having engaged in media multitasking significantly more than those who took no lecture breaks. The proposed Experiment 2 of this project will build in a replication condition from and follow-up conditions to Experiment 1, as we suspect that the type of lecture break activity affects the effectiveness of lecture breaks on learning. We aim to test the hypotheses that (1) stretching breaks would be more beneficial than no breaks because they may help mitigate the depletion of cognitive resources and avoid cognitive overload; and (2) social media breaks would be more detrimental than no breaks because they may activate secondary goals, unrelated to the lecture content, that promote media multitasking and compete for cognitive resources. In Experiment 2, undergraduate research participants watch a pre-recorded video lecture from a first-year introductory psychology course. Depending on the condition the participants are in, they will either take no breaks (control; replication condition), open-ended breaks (replication condition), stretching breaks, or social media breaks. We will be using attention probes as our main measure of attention and post-lecture quizzes (immediate and delayed) as measures of learning.

Due to the growing population and rapid urbanization, fresh water is becoming increasingly scarce. Apart from drinking, clean water is essential in a variety of applications such as batteries, pharmaceuticals, vehicles, and many research and development labs. Due to the unfeasible deficiency of the groundwater reserves, we must understand the importance of judicious usage and proper supervision of the groundwater resources. For the removal of various harmful substances in the groundwater such as arsenic, fluorides, and chlorides, we take the help of groundwater distillation. With the increase in environmental pollutions caused due to the use of injudicious usage of natural resources, we should look for an alternative for groundwater distillation techniques using renewable energy such as solar power. Groundwater is widely acknowledged as a major supply of water for drinking, agriculture, and a variety of other uses. Researchers have also employed solar distillation to transform groundwater into drinkable water. Hence, the main aim of the review paper is that we use solar power for groundwater distillation as solar energy is both a pressing necessity and a vital supply for all living things. Solar energy utilization is essential due to increased global warming and pollution, and it is being replaced by the traditional use of fuels in the globe today. We majorly focus on the removal of harmful compounds such as arsenic and fluoride from the groundwater with the help of solar-powered distillation techniques. The role of renewable energy technology in the sustainability of future water systems with a growing demanding share of groundwater distillation is presented in this paper.

Aim of this work is to improve the bond between a strain sensor and a device on which the strain shall be determined. As strain sensor, a CMOS-integrated chip featuring piezoresistive sensor elements was used which is capable of wireless energy and data transmission. The sensor chip was mounted on a standardized tensile test specimen of stainless steel by a bonding process using reactive multilayer systems (RMS). RMS provide a well-defined amount of heat within a very short reaction time of a few milliseconds and are placed in-between two bonding partners. RMS were combined with layers of solder which melt during the bonding process. Epoxy adhesive films were used as a reference bonding process. Under mechanical tensile loading, the sensor bonded with RMS shows a linear strain sensitivity in the whole range of tested forces whereas the adhesive-bonded sensor has slightly nonlinear behavior for low forces. Compared to the adhesive-bonded chips, the sensitivity of the reactively bonded chips is increased by a factor of about 2.5. This indicates a stronger mechanical coupling by reactive bonding as compared to adhesive bonding.

Background Tumor lysis syndrome (TLS) is a life‐threatening oncologic emergency associated with fatal complications including arrhythmia. The epidemiology and mortality outcomes of arrhythmia in TLS are scarcely studied in the literature. Methods We used the National Inpatient Sample (NIS) to study the prevalence and outcome of arrhythmia in patients hospitalized with TLS (ICD‐9 code 277.88) from 2009 to 2014. Baseline characteristics, burden of arrhythmia, and pertinent outcomes were analyzed. Multivariable regression analysis was performed to identify the impact of underlying malignancy in predicting TLS‐related mortality. Results A total of 9034 cases of arrhythmia among 37 861 TLS patients were identified. More than half of the arrhythmia cases (67%) were found among white old (>65) males admitted to large bed size and urban teaching hospitals. Arrhythmic cohort showed higher frequency of comorbidities such as fluid‐electrolyte disturbances, hypertension, congestive heart failure, renal failure, dyslipidemia, diabetes, pulmonary circulatory disorders, chronic pulmonary disease, coagulopathy, and deficiency anemia. The most common malignancies were leukemia, lymphoma, metastatic tumor, and solid tumor without metastasis. We found significantly higher odds of in‐hospital mortality among patients with TLS compared to general inpatient population on unadjusted (OR 9.69, 95% CI: 9.27‐10.13, P, A total of 23.9% of (n = 9034) encounters with arrhythmia were identified, out of 37 861 TLS‐related hospitalizations. The trends in the prevalence of arrhythmia were stable with rates ranging from 19.8% to 25.8%, with the highest frequency recorded in 2014 (25.8%) (Figure 1A). Atrial fibrillation (13.6%) was the most common arrhythmia followed by ventricular tachycardia in 2.6% of patients (Figure 1B).

To analyze the sex-based differences in the prevalence of cardiovascular disease risk factors and outcomes in older patients with prediabetes using demographically matched national cohorts of hospitalized patients aged ≥65 years.We queried the 2007-2014 National Inpatient Database to identify older patients (65 years) admitted with prediabetes using ICD-9 Clinical Modification codes. The older patients were then subcategorized based on sex. Comparative analyses of their baseline characteristics, the prevalence of cardiovascular(CV) disease comorbidities, hospitalization outcomes, and mortality rates were performed on propensity-matched cohorts for demographics.A total of 1,197,978 older patients with prediabetes (599,223 males; mean age 75years and 598,755 females; mean age 76years) were identified. Higher admission rates were found commonly among older white males (84.1%) and females (81.7%). Prediabetic older males showed a higher frequency of cardiovascular comorbidities compared to females. Prediabetic older males had higher all-cause in-hospital mortality (4.2% vs. 3.6%, p0.001), acute myocardial infarction (7.0% vs. 4.7%, p0.001), arrhythmia (36.3% vs. 30.5%, p0.001), stroke (4.8% vs. 4.6%, p0.001), venous thromboembolism (3.3% vs. 3.0%, p0.001) and percutaneous coronary intervention (3.1% vs. 1.5%, p0.001) compared to females.Our analysis revealed that among older patients hospitalized with prediabetes, males suffered worse in-hospital CV outcomes and survival rates compared to females.

Background Studies have suggested that atrial fibrillation (AF) in patients with rheumatic diseases (RD) may be due to inflammation. Aim To determine the highest association of AF among hospitalized RD patients and to determine morbidity and mortality associated with AF in hospitalized patients with RD. Methods The National inpatient sample database from October 2015 to December 2017 was analyzed to identify hospitalized patients with RD with and without AF. A subgroup analysis was performed comparing outcomes of AF among different RD. Results The prevalence of AF was 23.9% among all patients with RD (n = 3949203). Among the RD subgroup, the prevalence of AF was highest in polymyalgia rheumatica (33.2%), gout (30.2%), and pseudogout (27.1%). After adjusting for comorbidities, the odds of having AF were increased with gout (1.25), vasculitis (1.19), polymyalgia rheumatica (1.15), dermatopolymyositis (1.14), psoriatic arthropathy (1.12), lupus (1.09), rheumatoid arthritis (1.05) and pseudogout (1.04). In contrast, enteropathic arthropathy (0.44), scleroderma (0.96), ankylosing spondylitis (0.96), and Sjorgen's syndrome (0.94) had a decreased association of AF. The mortality, length of stay, and hospitalization costs were higher in patients with RD having AF vs without AF. Among the RD subgroup, the highest mortality was found with scleroderma (4.8%), followed by vasculitis (4%) and dermatopolymyositis (3.5%). Conclusion A highest association of AF was found with gout followed by vasculitis, and polymyalgia rheumatica when compared to other RD. Mortality was two-fold higher in patients with RD with AF.

Introduction: COVID-19 has been linked to cardiac damage and life-threatening pericardial complication on which data are trivial which incited us to perform this review of published case reports. Methods: PubMed/Medline, Web of Science and SCOPUS were searched until June 2020 for case reports on COVID-19-associated pericarditis, cardiac tamponade or pericardial effusion. Results: We identified 8 articles reporting 11 COVID-19 positive cases [mean age: 51.4±14.3 (34-78 yrs) 5 male/6 female)] with pericardial complications. All (100%) cases were COVID-19 positive at the presentation with ~80% having dyspnea, chest pain and cough. Time interval from first symptom to pericardial effusion was 7±8 (1-26) days. Five patients reported heart failure with reduced EF on echocardiography with mean LVEF 36.25%±8.54%. All patients showed nearly normal Troponin-I without angiographically significant stenosis except one. Out of 8 cases on echocardiography 4 cases reported with diffuse hypokinesia, 2 reported inferior and inferolateral walls hypokinesia and 2 reported signs of pericardial tamponade. Out of 11 patients, cardiovascular risk factors in the form of diabetes or hypertension or obesity were present in 5 patients. Cardiovascular comorbidities such as heart failure with low ejection fraction, non-ischemic cardiomyopathy and prior myocarditis were present in 3 patients. ST-segment elevation in 3, sinus tachycardia in 2, T wave inversion in 1 case were noted. Four patients developed cardiac tamponade, 1 developed takotsubo syndrome and 3 patients died. Conclusions: COVID-19 patients had signs of a high burden of cardiac injury. Pericardial complications (pericardial effusion and cardiac tamponade) remain infrequent complications which may require prompt care to avoid mortality.

Introduction: Literature reported cardiac tamponade in patients with influenza virus infection, which incited us to understand patient-level demographics, courses and outcomes. Methods: Systematic literature search was performed until May 2020 to review post-influenza cardiac tamponade cases. Results: Twenty five publications reported 28 patients (M:F::12:15, age range: 4-69 yrs, 9 pediatric) who had post-influenza cardiac tamponade as shown in Table 1 . Nine (32.1%) patients had dyspnea and 7 (25%) had chest pain. Onset of tamponade after flu ranged from 1 day-6 weeks. 22 (78.5%) and 3 (10.7%) were infected with Influenza A and B strains respectively. Troponin-T (n=7) ranged from 0.03 ng/dL-10.50 ng/dL. Twelve (42.8%) patients were treated with influenza therapy; 8 (28.5%) with Pseltamivir, 2 (7.1%) with Oseltamivir followed by Peramivir, 1 (3.5%) with Zanamivir, 1 (3.5%) with Zanamivir followed by Peramivir. Pericardiocentesis was done in 25 (89.2%) patients. Seventeen (57.1%) patients required mechanical circulatory/respiratory support: 13 intubations, 3 ECMO, 2 CPR, 1 external defibrillation and 1 noninvasive ventilation. Twenty-three (82.1%) patients recovered while 4 (14.2%) patients died. Conclusion: This systematic review of patient-level data showed high recovery rate with early diagnosis and timely pericardiocentesis and nearly 14% of mortality rate.

Introduction: Tumor lysis syndrome (TLS) is a life-threatening oncologic emergency. Epidemiology and mortality outcomes of arrhythmia in TLS are scarcely studied in the literature. Methods: We used the National Inpatient Sample (NIS) to study the prevalence and outcome of arrhythmia in patients hospitalized with TLS (ICD-9 code 277.88) from 2009-2014. Multivariable regression was performed to analyze TLS-related mortality. Results: A total of 9034 cases of arrhythmia among 37,861 TLS patients were identified. The trends in the prevalence of arrhythmia were stable with rates ranging from 19.8% to 25.8%, with the highest frequency recorded in 2014 (25.8%) (Fig. 1A). Atrial fibrillation (13.6%) was the most common arrhythmia followed by ventricular tachycardia in 2.6% of the patients (Fig. 1B). Sixty-seven percent of arrhythmias were among white old (>65) males. Arrhythmic cohort showed a higher frequency of comorbidities like fluid-electrolyte disturbances, congestive heart failure, renal failure, pulmonary circulatory disorders, deficiency anemias, etc. The most common malignancies were leukemia and lymphoma. Overall in-hospital mortality (32% vs 21.3%), the median length of stay (11 vs. 9 days) and hospital charges were higher among arrhythmic TLS patients. Conclusions: In this population-based analysis, arrhythmia in TLS was associated with higher odds of mortality and increased resource utilization. Strategies to improve the management of TLS to prevent arrhythmia is of utmost importance.

World Health Organization (WHO) reveals total number of coronavirus cases are 5,684,802 and 352,225 deaths till today worldwide. Coronavirus instances are nevertheless surging due to its speedy spreading through infected patients. Therefore, in order to find potent vaccine almost every researcher is doing hard work to find it. However, until today there is not any availability of effective vaccine or drug for the treatment of COVID-19. In this case, the computational approach is the good choice to identify effective drugs and could be very useful due to its low cost, less error and less time consumption. Here, Deketene curcumin has taken for docking study because of its lots of biological applications such as antiviral, antimicrobial, anti-inflammatory, antioxidant, antibiotic, and to a name of few, it is a derivative of curcumin. In this study, five main protease crystallized COVID-19 structures (PDB ID: 6LU7, 5R7Z, 5R7Y, 5R80, 5R81) have been taken for simulation against deketene curcumin. Required procedure for this in silico study done through Molegro virtual docker (MVD) and Molegro Molecular Viewer (MMV) used for visualization. The results showed H-bonding and steric interaction between Deketene Curcumin with COVID-19 (PDB ID: 6LU7, 5R7Z, 5R7Y, 5R80, 5R81). Moldock scores of Deketene Curcumin Observed -134.198 kcal/mol, -151.972 kcal/mol, -109.224 kcal/mol, -140.741 kcal/mol and -126.562 kcal/mol with PDB Id 6LU7, 5R7Z, 5R7Y, 5R80 and 5R81 respectively. As per our results, it can be say that Deketene Curcumin has effective as a lead compound to find new antiviral drug candidates against COVID-19 for possible medicinal agent.

In recent years blockchain technology has become mainstream research topic because of its decentralized, peer to peer transaction and anonymity properties. There are several applications of blockchain which are secure and easy as compare to the current techniques. One of the applications is a smart contract. Smart contracts are lines of code which are stored on a blockchain and automatically executed when the conditions defined by the it (developer) are met. This smart contract with the addition of blockchain technology can do task fast and with high security. In this paper we have developed a smart contract for a generalized notary application on solidity, Ethereum and the application is tested using the truffle suite. Furthermore, applications and their methodology for notary applications are also mentioned.

ST-elevation myocardial infarction (STEMI) and heart failure (HF) are common, big-budget, debilitating and expanding diseases. Cardiovascular diseases, especially STEMI and heart failure have been known to cause 17.3 million deaths worldwide annually. Hyponatremia, delineated as a serum sodium (sNa) concentration 65 years, published within the last 10 years, written in English, performed on human subjects and of studies such as reviews and randomized controlled trials (RCTs), especially for heart failure MeSH words. By applying this inclusion criterion, we found out 40 relevant articles which included 26 cohort studies, four clinical trials, four review articles, and six RCTs. In the analysis of 7,06,899 patients with STEMI/heart failure, hyponatremia was significantly linked to causing all-cause mortality, both short and long term (hazard ratio [HR] as continuous variable: 1.06; 95% confidence interval [CI]: 1.01-1.11; P = 0.026; HR as categorical variable: 1.71; 95% CI: 1.06-2.75; P = 0.028). The rates of rehospitalization were also higher (odds ratio, 1.68; 95% confidence interval, 1.32-2.14) along with prolonged hospital stays as well as a greater cost burden as compared to patients with normal serum sodium. It was existent not only in patients with reduced ejection fraction (HFrEF) but also in subjects with preserved ejection fraction (HFpEF) (HR 1.40, 95% CI 1.12 to 1.75, P = 0.004). Rise of first follow-up and discharge sodium does seem to have positive linkage on survival as well (hazard ratio [HR] 0.429, 95% CI 0.191-0.960, P = 0.04). Hyponatremia is the most frequently encountered electrolyte abnormality in clinical practice and has a poor prognosis in both STEMI and heart failure patients. It exacerbates both short and long term mortality, rehospitalization rates, as well as the average length of stay in the hospital. Although it is still a mystery whether hyponatremia is just a marker of iller patients or the core of poor prognosis in patients with STEMI and HF, one thing is certain: timely recognition of patients at risk for developing hyponatremia could help to commence early treatment.