Beta-blockers is one of the main groups of drugs used in cardiology. Metoprolol belongs to the most famous drugs of this class, because has high selectivity to beta-adrenergic receptors and lipophilicity. By surveying the literature review of metoprolol, it was found that European Pharmacopeia (EP ) have monograph only for substance metoprolol tartare, but not for metoprolol in tablets. Many approaches have been reported for the detection of metoprolol by spectrophotometric and chromatographic methods. However, they have certain disadvantages and make it impossible to use these methods in laboratories where is no HPLC equipment or require the use of toxic solvents, which is negative from the point of view of the principles of «green» chemistry. There is a need for a simple, economic and ecofriendly spectrophotometric methods for the determination of metoprolol tartrate in tablets with less sophisticated equipment and budgets.

Coronavirus disease 2019 (COVID-19) is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic caused by the novel coronavirus. The propagation of the virus has been exponential; currently, COVID-19 cases are present worldwide in 213 countries, areas, or territories. Globally researchers are working and sharing their input on COVID-19 epidemiology, prevention, treatment, and clinical and diagnostic trends. This paper contains a brief historical and comparative overview of selected pandemics, particularly concerning the COVID-19 pandemic and its impact on the global economy. When new patients are diagnosed, the epidemiological information provided in the paper is subject to change and the status of current cases is updated on a regular basis.

CT-Scan imaging has been widely used in kidney diagnosis to estimate kidney size, shape, and position, provide information about kidney function, and help diagnose structural abnormalities like cysts, stones, and infection. However, the use of CT-Scan in kidney diagnosis is operator-dependent. The images may be interpreted differently depending on operators’ skills and experiences, variations in human perceptions of the images, and differences in features used in diagnosis. Chronic kidney disease diagnosis may be improved by implementing automated techniques and computer-aided diagnosis systems, but these have not been widely explored. Therefore, this study proposed that chronic kidney disease has been acquired using the Random Forest classifier with 96.33% accuracy among different Machine Learning classifiers. Overall, this study has shown promising results. Implementing these proposed algorithms into current chronic kidney disease diagnosis techniques may help improve current diagnosis accuracy while reducing human intervention and operator dependency.

Use of patent information to characterize innovation and trends lead to various recommendations and may help one to plan and innovate a research strategy. This research concerns the worldwide patent applications on biopolymers used in agriculture filed under the Patent Cooperation Treaty (PCT) global system. This study, in particular, gives a patentability analysis of biopolymers utilized in agriculture by introducing what has been invented and patented. In compliance with patent analysis criteria, it is established as a research planning tool. Furthermore, a detailed analysis is provided regarding publication years, applicants, jurisdictions, and patent classifications by using the Patentscope database.

The aim of the work was to develop and validate a spectrophotometric method for the determination of rosuvastatin in tablets based on the reaction with BPB.

Material and methods. Analytical equipment: two-beam UV-visible spectrophotometer Shimadzu model -UV 1800 (Japan), software UV-Probe 2.62, laboratory electronic balance RAD WAG AS 200/C. The following APIs, dosage forms, reagents and solvents were used in the work: pharmacopoeial standard sample (CRS) of rosuvastatin calcium (Sigma-Aldrich, (≥ 98%, HPLC)), BPB (Sigma-Aldrich, (≥ 98%, HPLC)), "Rosuvastatin" tablets 10 mg, methanol (Honeywell, (≥ 99.9 %, GC)), ethanol (Honeywell, (≥ 99.9 %, GC)), chloroform (Honeywell, (≥ 99.9 %, GC)), acetonitrile (Honeywell, (≥ 99.9 %, GC)), and ethyl acetate (Honeywell, (≥ 99.7 %, GC)).

Results and discussion. A spectrophotometric method for the determination of rosuvastatin by reaction with BPB in a acetonitrile solution using the absorption maximum at a wavelength of 595 nm has been developed. Stoichiometric ratios of reactive components were established, which were 1:1. The developed method for the quantitative determination of rosuvastatin was validated in accordance with the requirements of the SPhU. The analytical method was linear in the concentration range of 7.99-23.97 μmol/L. According to the «greenness» pictogram of the analytical method using the AGREE method, the score was 0.79 and indicates that the proposed spectrophotometric method for the determination of rosuvastatin was developed in compliance with the principles of «green» chemistry.

Conclusions. The proposed spectrophotometric method has a low negative impact on the environment and can be applied for the purposes of routine pharmaceutical analysis.

Diabetic Retinopathy (DR) is the most familiar complication of diabetes. It exists in patients with diabetes and affects the human eyes. DR patients have damaged blood veins in their retina, the hypersensitive layer in the back of the eyes. Initially, DR may not cause indications or only cause mild vision problems, but if left untreated, it might cause blindness. This research compares texture analysis-based retinal classification and different stages of DR, namely mild, moderate, non-proliferative, proliferative, and regular human eye. DR stages show misconception in its physical appearance. So, it is difficult for the physician to diagnose the stage of DR a patient is going through. This research introduces the automated framework that diagnoses and classifies the DR stages using the image processing (IP) and machine learning (ML) approaches. The m has been generated for texture analysis by applying a data fusion approach. An ML classifier has been employed (using cross-validation 10) on a multi-feature dataset to build the model. The multi-layer perceptron (MLP) has shown considerably high classification accuracy, 98.53%, respectively.

This research aimed to explore the critical issues and challenges of implementing the agile process with Scrum. Agile means improving our life. It helps release the product faster, better, and with less memory. The minimum risk involved compared to the traditional It provides the facility to Pakistan software industry to improve the quality of products delivered in time. So, the Scrum process is a future software development method for managing projects instead of what is accomplished. Software Companies need some help with communication and lack of cost. Now domains are needed for growing the Pakistan industry. The agile manifesto defined the 12 principal of agile customer collaborations necessary. Trust is a central element of productive team build in projects team then people are distributed in a different locations. So identified that 65% using agile techniques rapidly growing industry compared to the traditional development acceptability increase in Pakistan software markets due to static and dynamic testing. Scrum framework is used for agile methods to manage the overall project's in-depth studies. The class management projects are fully integrated with the scrum method to determine the traditional challenges. Data were collected through an email survey, software houses teams, observation, and semi-structured face-to-face interviews. In the first round, almost 85% of people through Scrum achieve their business goals. In the second round of collecting, data analysis of the final stage was completed through the statistical tool. It used SPSS to determine the complexity, communication gap between team members, and team experience in agile and traditional models with Scrum methods.

Lung cancer is one of the most precarious dysfunctions to humankind species and amongst the leading causes of human life expiration, especially in developing countries. Mycobacterium Tuberculosis bacterium is a causative agent of lung cancer. The highly aerobic physiology of M. tuberculosis requires suitable oxygen for survival, which is why Lung is its habitat. Lung cancer is fatal because its detection is challenging, especially in smokers. This study presents a machine vision-based approach for lung cancer detection through CT (computerized tomography) scan images. The study aims to ensure reliable, precise, and accurate detection of lung cancer through texture features extracted from CT scan images (acquired from Bahawal Victoria hospital Bahawalpur, Pakistan). Pre-processing techniques (grayscale conversion, filtration, etc.) played an influential role in removing noise, which might reduce accuracy. Mazda tool has been used for feature extraction and identification of 30 optimized features using three techniques F (Fisher) + PA (probability of error + average correlation) +MI (mutual information). The data mining tool Weka has deployed different classification algorithms with ten cross-validation folds. Artificial Neural Network (ANN: n class) showed comparatively better and probably best accuracy of 95.66 %, respectively.

Preparing in front of the mirror in the morning takes time. This Smart Mirror can solve several business issues simultaneously. This voice service system analyzes customer inquiries and instructions using "ALEXA". Smart Mirror, based on the Raspberry Pi 4, is the newest design to replace our mirrors with high-tech and inventive applications. We have all seen various things that help the country and world thrive in this modern era. Multitasking is required since it is hard to fit everything into a day. The challenge is controlling everything that might impact a person to prepare for each day and accomplish all the critical chores in front of the mirror more efficiently.
This project aims to construct a smart mirror that provides general information like news, time, weather, and other valuable data to the general public. This mirror collects this information throughout morning preparation to make it easier. Our items can incorporate music, control techniques, and other entertainment to make this mirror more fascinating. Smart glass can improve a modern lifestyle. Face recognition will enhance mirror use.

Polymeric nanoparticles (NPs) are colloidal systems within the size range from 1 to 1000 nm where active agents are entrapped, dissolved, encapsulated or adsorbed onto the constituent polymeric matrix. These materials are important for biomedical applications and are frequently used as drug delivery systems (DDSs). Polymeric-based NPs could be used in cancer therapy, among others. This review will discuss the use of different polymeric NPs for various cancer treatments.