Pneumonia is an acute pulmonary infection that can be caused by bacteria, viruses, or fungi. It infects the lungs, causing inflammation of the air sacs and pleural effusion: a condition in which the lung is filled with fluid. The diagnosis of pneumonia is tasking as it requires a review of Chest X-ray (CXR) by specialists, laboratory tests, vital signs, and clinical history. Utilizing CXR is an important pneumonia diagnostic method for the evaluation of the airways, pulmonary parenchyma, and vessels, chest walls among others. It can also be used to show changes in the lungs caused by pneumonia. This study aims to employ transfer learning, and ensemble approach to help in the detection of viral pneumonia in chest radiographs. The transfer learning model used was Inception network, ResNet-50, and InceptionResNetv2. With the help of our research, we were able to show how well the ensemble technique, which uses InceptionResNetv2 and the utilization of the Non-local Means Denoising algorithm, works. By utilizing these techniques, we have significantly increased the accuracy of pneumonia classification, opening the door for better diagnostic abilities and patient care. For objective labeling, we obtained a selection of patient chest X-ray images. In this work, the model was assessed using state-of-the-art metrics such as accuracy, sensitivity, and specificity. From the statistical analysis and scikit learn python analysis, the accuracy of the ResNet-50 model was 84%, the accuracy of the inception model was 91% and lastly, the accuracy of the InceptionResNetv2 model was 96%.

Dr. chandrashekhar uppin

In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths world wide were attributable to exposure to particulate matter 2.5 μm (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The averagePWELs for annual PM2.5 for 2000, 2008, and 2013 were 22 μg m-3, 18 μg m-3 and 24 μg m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM2.5 of 10 μg m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 % CI: 3347–12,791), COPD was between 164 and 957 (95 % CI: 95–1411), lung cancer was between 109 and 307 (95 % CI: 63–437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2–394) and stroke was between 6 and 155 deaths, ac-cording to age groups (95 % CI: 3–261). An increase in estimated health endpoints was associated with increased estimated PWEL PM2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM2.5 level to the Malaysian AirQuality Standard IT-2 would reduce the national health endpoints mortality

Mohamad iqbal mazeli

India's hotel and hospitality industry occupancy decreased significantly in the first quarter of 2020, as the outbreak of COVID-19 affects different segments of the market. The outbreak of the novel coronavirus (COVID-19) has inflicted a blow on industries around the world, but maybe none as devastating as hospitality and travel. Depending on the length of the pandemic, companies across the industry adjusted growth forecasts for 2020, estimated profits to be conservatively 40-50 percent lower than expected before the outbreak. The effect on hospitality demand is greater than many other sectors, but even among hotels, air and cruise ships, and restaurants it is varied. Hotels and airlines operate at half capacity, with both business and leisure travelers canceling scheduled trips and not arranging any for the near future.The present article aims to study some novel practices for the survival of hospitality industries once the lockdown is over.

Ketan chande

The current study seeks to develop and validate a high-performance liquid chromatography method for atorvastatin diastereomer separation and analysis. In particular, we wish to identify the many diastereomers in atorvastatin, which can help us to better understand their pharmacological properties and provide significant information for pharmaceutical applications. Atorvastatin was chromatographed on a Chiralcel® OD-RH column and n-hexan-2-propanol (95:05 v/v) as the mobile phase, with an injection volume of 10 µL. The solution was pumped at a continuous flow rate of 1 mL/min, with a detection wavelength of 260 nm. The investigation found two peaks with retention times of 3.23 and 3.85 min, respectively. The resolution, capacity, and selectivity factors obtained were Rs = 1.2, k′1 = 3.50, k′2 = 4.37, and α = 1.24.

Mediterranean journal of pharmacy and pharmaceutical sciences

Medicinal plants are the gift of nature and play an important role as a part of our diet to maintain health. They also serve as a versatile weapon to combat several diseases. Every civilization has its own experience and knowledge of the therapeutic uses of plants. The belief and observations regarding traditionally used medicinal plants increase people's interest in using them against urolithiasis. Urolithiasis is a common problem that has been afflicted for centuries and has a high recurrence. Of the world's population, about 12% suffer from urolithiasis. All over the world, in different countries and cultures, people use plants to prevent and cure kidney stones according to their ethnopharmacological information. These formulations are very effective. That's why they have been used for hundreds of years. This review covers the eighty (80) medicinal plants of the most cited family Asteraceae against urolithiasis and their historical antiurolithiatc background shared in well-known books of Dioscorides, Pliny the Elder, Al Razi and Ibn Sina. This information was extracted to compose antiurolithiatic plants with their parts and formulations used in 21 countries such as Algeria, America, Australia, China, India, Iran, Italy, Jordan, Jordan, Kyrgyzstan, Lebanon, Libya, Mexico, Morocco, Pakistan, Palestine, Philippine, Spain, Tunisia, Turkey and Uzbekistan. Scientifically proven pharmacological activities of the same part of the plant have direct (litholytic) and direct pharmacological effects like analgesic, anti-inflammatory, antioxidant, astringent, demulcent, diuretic, litholytic, lithotriptic, antiurolithiatic, antispasmodic, ACE inhibition and Phospholipase A2 inhibition also shared as a plausible mechanism of action. The route of administration is oral in all cases. Hopefully, this book will be useful for the general public and attract the scientific world for antiurolithiatic drug discovery. This valuable ethnopharmacological information will provide opportunities for the future research and development of new natural antiurolithiatic compounds.

Dr. salman ahmed

Antimicrobial resistance poses a critical threat to global health, exacerbated by inappropriate antibiotic usage. This study evaluates antibiotic consumption at Hospital 199, a public security hospital in Vietnam, using the defined daily dose per 100 bed-days and the World Health Organization AWaRe classification framework. Data were collected retrospectively from inpatient departments over 2022, analyzing prescribing trends to assess stewardship effectiveness and identify areas for improvement. The findings reveal a total antibiotic usage rate of 60.8 defined daily dose per 100 bed-days, predominantly driven by watch antibiotics (63.8%), followed by access antibiotics (36.2%), and minimal use of reserve antibiotics (0.0003%). Critical care departments, such as anesthesiology and intensive care, reported the highest consumption (190.54 DDD/100 bed-days), which may reflect the complexity of care provided and potential empirical prescribing practices, or an elevated infectious burden. β-lactam antibiotics accounted for 59.4% of total use, with third-generation cephalosporins representing the largest subgroup at 40.2% of defined daily doses. While adherence to stewardship principles was evident in the limited use of reserve antibiotics, the reliance on broad-spectrum agents highlighted systemic challenges, including empirical prescribing practices and limited diagnostic capacity. This study highlights the need for targeted interventions to promote access to antibiotics, reduce over-reliance on watch agents, and enhance diagnostic support. By aligning local practices with World Health Organization guidelines, Hospital 199 demonstrates its potential to combat antimicrobial resistance effectively. These findings offer insights for similar low- and middle-income settings, contributing to global efforts to mitigate resistance and optimize antibiotic stewardship.

Mediterranean journal of pharmacy and pharmaceutical sciences

Abstract Higher education in India is always a socio-political way and a powerful engine of social mobility. It adds to the benefits to society as more people earning Higher Education credentials. It is proven that college graduates earn more. They are less likely to be unemployed. They are more likely to vote, more likely to volunteer, and more likely to maintain good health. India as a Globalised and developing nation has been little systematically progressing on the educational front since its independence. The government is making progress in reaching out to all the classes of its society. The improvement in the country’s economic front has resulted in the upscaling of communication technology. The advent of the internet, have vastly leveraged the promotion of education across all verticals. But at the same time, the idea of Equity and Equality needs to be redefined in the present context of the newly established notion of ‘Inclusivity’. This paper deliberates on the various ideas and approaches of Higher Education in India on ‘Inclusivity’ in general and Equity and Equality in particular.

Dr. preeti oza

The presented mathematical model is used to form machine cells, optimize costs of exceptional elements and design the shop floor layout for various demands of components. The complete similarity measure algorithm forms machine cells and part families in a refined form. Later, exceptional elements are eliminated in linear programming optimization model by using machine duplication and part subcontract. Then the shop floor layout is designed to have optimized material movements between cells and within a cell. The performance evaluation of cell formation algorithm is done on case studies of various batch sizes to give the process capability compared with other similar methods. The result from a linear programming optimization model is cost savings, machines duplicated, parts subcontracted, inter intra cellular movements. Finally, the output of inbound facility design is the floor layout which has machine cell clusters with optimized floor area.

S ramesh

In the direction of computer globalization and digitization, India is rapidly developing education and information technology. People are taught how to invest in deposits, postal investments, government bonds, gold systems and bonds, and the private sector. The world in which we now live has been completely transformed by technology. The study indicates that there are more than 4 billion active Internet users worldwide, or nearly half of the world's population. Our lives are now faster, easier to manage, and more enjoyable thanks to modern technology. This paper focuses in experiencing and developing a stock application using PHP, React JS, NodeJS and CSS . All the stock data is stored in a MYSQL database. On the other side for developing machine language application python code is used to convert the data into csv format for machine learning algorithms. The investor is presented with a login screen in the python environment where they must enter their user name and password. The stock dashboard shows the investor's current stock holdings, as well as online stocks' their current price, percentage change in stocks, sensex, nifty, bonus, rights, IPO's, annual report etc. statistical methods are used as software modules for the investor, and with a single click of a button, they can compare and contrast their own stocks with online stocks, as well as the trend in the stock market position in order to decide whether to buy, hold, or sell the stocks. Data visualization component is used for comparison of various stocks, and by clicking of a button, stock prediction are displayed whether to hold, buy or sell in future according to the market trend. The trader must log in using their user name and password. The trader will browse the client current market price of all stocks, buying and selling stocks, contract note, client margin, e-off market transactions, ledgers, journals, commission of buying and selling stocks, and so on. In future strategy the stock application programming is converted by a portable mobile application by using python packages like Kivy, PyQt, or even Beeware's Toga library.

Dr.n.r.ananthanarayanan

Marketing refers to the actions that elevate customer value by motivating them to purchase the organisation's products or services (Kusumadewi, 2019). An organisation with strong capabilities must exhibit strong marketing capacities to effectively introduce its offerings to new markets (Lee and Falahat, 2019). Marketing strategies are part of an organisation's corporate strategy, which refers to the set of choices an organisation makes to develop and capture value across its business over time. As corporate strategy essentially drives financial performance (Sull et al., 2018), effective marketing strategies must be selected to ensure the organisation's attainment of objectives and long-term success.

Zamzam abdelazim

Shell and tube heat exchanger is the most common type of heat exchanger, widely used in oil refinery and other large chemical process. The energy present in the exit stream of many energy conversion devices such as I. C engines, Gas turbines etc. goes as waste, if not utilized properly. For example, the heat energy stored in the engine coolant can be utilized in a better way by recovering the heat for heating purposes inside the cabin. It is comparatively economical than the existing heating arrangements, which employ conventional heating coils. So, the present work has been carried out with a view to predicting the performance of a shell and tube heat exchanger in the field of waste heat recovery application. The objective of this project is to design a shell and tube heat exchanger and study the flow and temperature field inside the shell and tubes using ANSYS Fluent R14.5. An attempt has been made to calculate the performance of the above heat exchanger with and without baffles for parallel flow configurations, and the results so obtained have been compared.

Boopathy govindarajan

Le discours du nouveau Président algérien, Monsieur Abdelmadjid Tebboune, se caractérise par une rhétorique différente de celle de ses prédécesseurs. Notre entreprise, dans le présent article, vise à rendre compte de cette spécificité discursive en interrogeant trois expressions ponctuant souvent son discours. Notre analyse se propose d’examiner des segments de discours collationnés à partir des différents entretiens périodiques accordés aux médias nationaux et internationaux ainsi que des allocutions du président lors des travaux réunissant le gouvernement et les walis. En guise de conclusion, nous déterminerons les motivations du choix de ces formules dans le discours présidentiel.

Assanvo

Background: Quality of life (QOL) is an important determinant in assessing the health status. It includes physical, psychological, and social well being. The aim of this research was to identify the intrinsic and extrinsic factors of QOL; and the association of QOL with socio-demographic, anthropometric variables and lifestyle variables. Methods: This cross sectional study was conducted in Tamil Nadu among 327 adults during July 2020 through online using standardized WHOQOL-BREF tool to assess the quality of life along with socio-demographic variables, anthropometric variables and lifestyle variables. Principal component analysis method was used to identify the factors which influence the QOL of adults. The association between socio-demographic variables, anthropometric variables and lifestyle variables with quality of life was also assessed. Among the selected samples 165 were female and 162 were male. The structured questionnaire included Section A- socio-demographic variables such as age, gender, occupation, educational qualification, place of residence, marital status; Section B - anthropometric variables such as height, weight and BMI; Section C lifestyle variables such as type of diet and physical activity pattern; and Section D -consisted of Standardized WHO-BREF tool to assess the quality of life. Results: The identified intrinsic factors include Life style approach, Emotional stability and Health status; Safety & accomplishment, Financial support with societal information were identified as extrinsic factors. These factors played an influential role in QOL of the adults during pandemic crisis. The association between the type of residence (p=0.001), occupation (p=0.000) and marital status (p=0.022) with QOL was highly significant at 1 % and 5 % respectively. Conclusion: The identified factors during covid-19 pandemic had influenced the quality of life domains namely physical health, psychological, social relationship and environment. Intrinsic factors were dependent on individual’s perception towards accepting the new normal during the pandemic. Whereas, extrinsic factors were greatly influenced by the environment and society in which the study participants were exposed. One of the identified extrinsic factors (residence), showed high significant association with QOL.

Athina deepa prasanna

Artificial Intelligence (AI) is rapidly transforming the landscape of supply chain management, offering unprecedented opportunities for optimization, efficiency, and innovation. This white paper explores the various applications of AI in supply chain operations, highlighting its potential to revolutionize the way businesses manage inventory, logistics, demand forecasting, and more. Through real-world examples and case studies, we demonstrate how AI-driven technologies are reshaping traditional supply chain practices and driving competitive advantage in today's dynamic marketplace.

Kalpak

This article explores how telemedicine, especially with the help of artificial intelligence (AI), is transforming healthcare. It covers its applications in monitoring patients, managing chronic diseases like diabetes, and improving cardiovascular care. The importance of wearable devices and non-invasive blood glucose monitoring is highlighted. The article emphasizes how AI-driven remote patient monitoring can enhance healthcare by providing early intervention, reducing hospitalizations, and offering personalized care.

Dhruvitkumar talati

Background: Oral submucous fibrosis (OSF) is a persistent oral mucosal condition that carries an elevated risk of undergoing malignant transformation. Our objective was to elucidate the involvement of epithelial-tomesenchymal transition (EMT) in OSF and its progression to malignancy by studying a panel of EMT markers, thereby understanding the molecular mechanisms. Methods: An immunohistochemical analysis was done to detect the presence of E-cadherin, N-cadherin, pancytokeratin (PanCK), vimentin, α-SMA (alpha-smooth muscle actin), and CD44 in a total of 100 tissue samples. These samples comprised 40 cases of OSF, 20 cases of oral squamous cell carcinoma associated with OSF (OSFSCC), and 40 cases of oral squamous cell carcinoma (OSCC). A whole transcriptomic analysis was performed on a group of seven matched samples encompassing NOM, OSF, OSFSCC, and OSCC. Results: We observed significantly decreased expression of E-cadherin and PanCK, while N-cadherin, vimentin, α-SMA, and CD44 showed significantly higher expression in OSFSCC and OSCC as compared to OSF, both at protein and RNA levels. CD44 expression was noticeably higher in OSFSCC (p < 0.001) than in OSCC. Conclusion: Downregulation of epithelial markers with concomitant upregulation of mesenchymal and stem cell markers suggests the potential role of EMT and stemness in accelerating the pathogenesis and malignant transformation of OSF. The high levels of CD44 expression seen in OSFSCC indicate a high propensity for aggressiveness and acquisition of stem-like characteristics by the cells undergoing EMT.

Mohit sharma

Carpal tunnel syndrome (CTS) is caused by the shortening of the median nerves in the wrist, resulting in hand pain and paralysis necessitating surgical operation for relief. Conventional open carpal tunnel release (CTR) procedures, involving long incisions, often lead to complications, delaying patients' recovery for weeks or months. Therefore, mini-incision surgery has emerged as a preferred option, offering reduced pain, smaller wounds, and improved appearance. This study aimed to compare the outcomes of modified mini-incision surgery for CTS before and after the operation. It was a retrospective study involving 80 patients, with data collected from medical records pre-and post-operation, specifically at the 2 nd week, 3 rd month, 6 th month, 12 th month, and 24 th month intervals. Variables included operation time, incision length, pinch strength, gripping strength, two-point discrimination (2-PD), visual analogue scale (VAS), Levine score, quick disabilities of the arm, shoulder and hand (Quick-DASH), wound pain, and pillar pain. Data were analyzed using descriptive statistics and logistic regression, with a significant level of 0.05. The mean incision length was 11.54 mm. At the 2-week post-operative mark, the pinch strength was 5.43, gripping strength was 14.96, 2-PD was 5.84, the VAS score was 2.86, the Levine symptom was 3.84, and the DASH score was 69.43. There was a relationship (p-value<0.05) between preoperative and postoperative measures for pinch strength, gripping strength, 2-PD, and Levine symptom condition. The study on 80 patients who underwent modified mini-incision surgery for CTS at Naresuan University Hospital in Phitsanulok, Thailand, found that these parameters showed significant improvement postoperatively. Patients demonstrated good recovery and condition 2 weeks after the mini-incision surgery for CTS.

Saran malisorn

We reported a case of cyclophosphamide (CYP)-induced posterior reversible encephalopathy syndrome (PRES) in a 26-year-old previously healthy male patient who was presented to the emergency department with a history of fever, shortness of breath, and hemoptysis. After extensive investigations, including bronchoscopy and autoimmune screening, he was diagnosed with renalpulmonary syndrome. The diagnosis of CYP-related PRES was based on the development of neurological clinical picture supported by magnetic resonance imaging findings. The dose of CYP was decreased to 75 mg/day, and the patient’s symptoms improved after 3 days.

Karishma

Current research investigates the nuanced impact of the COVID-19 pandemic on consumption patterns in rural Maharashtra, India. Our research has two main goals. First, we want to understand how factors like age, gender, job, education, and family size have affected how people in rural Maharashtra spent money during the pandemic. Second, we want to find out which of these factors had the biggest impact on spending in different parts of the state. Since rural areas have their own unique economic situations, we know it's important to look at how the pandemic affected these communities specifically. We're using math and tables to analyze the information and provide a detailed look at how the pandemic immediately changed spending habits and what it might mean for the future in rural households. This research is not only timely but also essential for informing policy decisions aimed at supporting rural communities in the aftermath of the pandemic. By unraveling the intricate dynamics of consumption in rural Maharashtra, we contribute to a deeper understanding of the economic challenges faced by these communities and provide insights that can guide targeted interventions to foster resilience and recovery.

Nandini jagannarayan

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