High-Performance Liquid Chromatography (HPLC) is a frequently utilized analytical method that has numerous characteristics, including high selectivity, sensitivity, and a reduced time requirement. Upon using this fabulous technique, the limit of detection is reduced, and the accuracy, precision, reliability, and specificity can be expanded. This technique plays a crucial role in both qualitative and quantitative analysis throughout the various stages of drug production, from the initial discovery of the drug to its excretion from the body. The role of High-Performance Liquid Chromatography (HPLC) in pharmaceutical analysis during various stages of drug discovery, production, and clinical use, including drug pharmacokinetics, is reviewed and discussed in detail. This provides an overview of the benefits of High-Performance Liquid Chromatography from the chemical, pharmaceutical, and clinical perspectives.

Mediterranean journal of pharmacy and pharmaceutical sciences

This paper attempts to review the status of law in the context of the UK. The critical areas reviewed in the study included the nature of the legal systems within the UK, focusing on the role played by law within the community and the sources of law. In the second task, the connection between law and the business world is established, trying to ascertain the role of company law, employment laws, the law of contract, and the intellectual property to the businesses. Task three assessed the existing laws regarding the different types of business organizations created in the country, concentrating on the legal requirements for establishing the same. The last task focused on the recommendation that the study makes in conclusion regarding the dispute resolution processes available in the current business world.

Zamzam abdelazim

This journal article investigates the evolving landscape of healthcare monitoring systems empowered by Artificial Intelligence (AI). Through an in-depth analysis of recent developments, methodologies, and case studies, the article elucidates the pivotal role of AI in revolutionizing patient care, diagnostics, and overall clinical outcomes.

Dhruvitkumar talati

Mobile Ad-hoc Network (MANET) owing to their very open characteristics are being very attractive and adaptive. With the openness comes security issues to be dealt. The most usual attack in mobile ad-hoc network is the black-hole attack. It advertises false path as shortest and newest to the destined node. On gathering packets containing data will drop them and does not send it to the destination. This paper proposes an algorithm to overcome such an attack under Ad-hoc On-demand Distance Vector (AODV) routing protocol in MANETs. The proposal aims to detect and avoid black-hole attack by using the parameters of AODV routing protocol in its enhanced form of route recovery. The proposed algorithm has two different scenarios, where first comes the detection then the avoidance. The simulation results are obtained from NS -2 to authenticate the effectiveness of proposed technique in comparison with the existing protocols in the existence of black-hole attack with respect to change in simulation end time and active number of attackers. The implementation is assessed based on delay, delivery ratio, drop, overhead, throughput and packet forwarding ratio. The results obtained from network simulator are mapped to form a dataset, which is then validated on a modelled fuzzy inference system using MatLab software.

Fahmina taranum

The objective of the paper is to predict corporate bankruptcy of selected telecom service sector companies. The study ranges for a period of ten years from 2006-2007 to 2015-2016 for three selected telecom service sector. By applying Altman's Z-score model the study analyze the financial position of the companies and suggests the financial components to be concentrated to improve the financial health. Further the study suggests that the companies should regularly estimate Z-score for making strategies to improve their financial position.

Dr. jeyalakshmi p

This proposed work is used to optimize the costs of exceptional elements of machine cells for a variety of components in changing environments to have reduced material movements in cell layout. The exceptional ele¬ments are eliminated in the optimization model by doing machine duplication and part subcontract. Then the shop floor layout is designed to have optimized material movements between cells and within a cell. The result of a linear programming optimization model is cost savings, machines duplicated, parts subcon¬tracted, inter intracellular movements. Finally, the output of the inbound facility design is the floor layout which has machine cell clusters with optimized floor areas. The optimization model is provided with budg¬etary constraints for duplication and the economic tradeoff between machine duplication and part subcontract. Cell layout is prepared to reveal the saving in floor area and material movement lengths than in process layout with the help of distance matrix and dimensions of cells.

S ramesh

The wind tunnel experimental study has been carried out on a double delta wing of different geometrical configurations such as 80°/45°, 75°/45° and 70°/45° sweep angles given as Model I, Model II and Model III with various freestream velocities from 10 to 40 m/s with a step of 10 m/s in Hindustan Institute of Technology and Science, Chennai, Low Speed Wind tunnel (HITSLSWT). The experiment is conducted for the measurement of lift and drag forces using single component force balance. The investigation was done to look into the effects of changing the double delta wing's leading edge sweep angles. Three differentmodels have been tested at various angles of attack ranging from0° to +16° and 0° to −16° with 4° and four different freestream velocities based on the delta wing’s chord. It is observed that the influence of variation of leading edge sweep angles affects the performance of aerodynamic characteristics of themodel. The increase in angle in attack with increased velocity gives better aerodynamic performance. This paper provides good insight into the aerodynamic force measurement of double delta wing and the low-speed performance of the models.

Boopathy govindarajan

A focus group is an investigative tool for social research based on a structured and focused discussion with a small group of people, run by a facilitator (moderator) to generate qualitative data through a set of open-ended questions. The focus group technique is a qualitative research methodology popularly used in social research in a wide range of sectors. A researcher uses a set of open-ended questions on a specific topic to generate qualitative data. The focus group is an efficient way of gathering data about particular opinions or attitudes by covering a large number of people in the same group. This entry explores the methodology and processes of focus groups as well as the analysis of data from focus group research.

Mukhles m. al-ababneh

The formation of social sciences in general, and sociology in particular, often includes foundational courses such as Introduction to Sociology as part of its curriculum. Many of these courses traditionally place the teacher at the center of teaching, with learners acting as passive recipients of knowledge. This approach limits learners' initiative in seeking knowledge and expressing their own perspectives on social issues, thus excluding them from the knowledge production process. This contradicts modern educational principles that emphasize learner participation in the educational process. Therefore, adopting a constructivist perspective of teaching necessitates the use of new teaching methods, with the Photovoice method being one of the essential tools due to its emphasis on participatory learning. Participatory learning involves students actively engaging with and redefining the knowledge presented in the classroom, rather than passively receiving it. This paper describes our experience using the Photovoice method in the Introduction to Sociology course at Ho Chi Minh City Open University, Vietnam, during the first semester of the 2023-2024 school year. Additionally, the paper presents survey results reflecting students' opinions on the Photovoice method after completing the course. The survey data indicates that Photovoice is an effective pedagogical tool.

Le minh tien

Objective: This study was conducted to investigate traditional beliefs and practices of women regarding care of the mother and the infant during pregnancy, in childbirth, and in the postpartum period. Methods: This was a descriptive, cross-sectional study conducted at a public hospital in Istanbul. The data collected consisted of socio-demographic and obstetric characteristics, and responses to questions about some traditional customs regarding pregnancy, delivery, and the postpartum period. Results: In our research, some non-harmful cultural practices were found, such as the belief that to have a clever and beautiful baby the mother should eat fruit; that to have a healthy and peaceful pregnancy, the mother should not look upon ugly things; the mother should indulge her food cravings; and to have an easy birth, the mother should walk and focus on prayers. On the other hand, we also found beliefs that could be harmful, such as wiping the mouth of a baby with a date before breastfeeding, and practices believed to be protective that could cause harm, such as putting a knife under the baby’s bed, fastening a safety pin to the baby’s clothes, and for the mother and child to remain at home for 40 days. Conclusion: While non-harmful and beneficial practices related to maternal and infant health should be accepted and supported as a part of our cultural richness, practices that could be harmful should be prevented in pregnancy classes or with training upon hospital discharge

Reyhan aydin doğan

The present study is designed to determine the types of secondary metabolites in three selected seed powders using a fast, reliable, and non-destructive Near Infra Red spectroscopic analytical technique. NIRS analysis of Macrotyloma uniflorum (Lam.) Verdc., Phaseolus lunatus Linn., and Phaseolus vulgaris Linn., seed flours were used to qualitatively evaluate secondary metabolites. The fine powder of crude drug was directly applied to FOSS XDS near the infrared Rapid Content Analyzer. The adequately filled powdered sample in a disposable glass silicate vial closed with a plastic lid was centrally placed onto the Foss Rapid Content Analyzer sample presentation glass. The scanning of samples at ambient temperature gives NIR spectra within 30 seconds. The major proposed compounds in M. uniflorum were 3,4-dihydroxybenzoic acid, caffeic acid, chlorogenic acid, ferulic acid, gallic acid, kaempferol, linolenic acid, niacin, quercetin, sinapinic acid, syringic acid, and vanillic acid. Whereas coumaric acid, fructose, galactose, L-serine, raffinose, stachyose, sucrose, threonine, and tyrosine were detected in P. lunatus, and the NIR suggested the presence of caffeic acid, ferulic acid, sinapinic acid, phytic acid, leucine, and valine in P. vulgaris. NIRS is an advanced innovative technology extensively used in chemical, food, petrochemical, and pharmaceutical industries for rapid and reliable standardization. The present study revealed an excellent correlation to conclude that flour samples of all three legume seeds could be added to the food system to achieve nutritional and functional benefits.

Dr. salman ahmed

Introduction: The university experience often brings various personal and academic challenges that can negatively impact students’ mental health. This research aimed to evaluate the effect of a mindfulness program on stress, anxiety, depression, sleep quality, social support, and life satisfaction among university students. Methods: A quasi-experimental study was conducted with 128 participants, divided into experimental and waiting list control groups. The experimental group participated in a mindfulness meditation program consisting of 12 weekly sessions. Pre-test and post-test measurements were performed using the Perceived Stress Scale (PSS-10), the Zung Self-Rating Anxiety Scale (SAS), the Zung Self-Rating Depression Scale (SDS), the Pittsburgh Sleep Quality Index (PSQI), the Medical Outcomes Study Social Support Survey (MOS-SS), and the Satisfaction with Life Scale (SWLS) to assess the variables. Results: The experimental group showed statistically significant differences between the study phases and the groups after the intervention for all the variables examined (p < 0.05). The effect sizes calculated using the HC3 model were stress (η2 = 0.376), anxiety (η2 = 0.538), depression (η2 = 0.091), sleep quality (η2 = 0.306), social support (η2 = 0.704), and life satisfaction (η2 = 0.510). The mindfulness program was shown to be effective in reducing levels of stress, anxiety, and depression while also improving sleep quality, social support, and life satisfaction in college students. Conclusion: These findings indicate that mindfulness meditation may be valuable for enhancing psychological well-being in educational settings.

Paul alan arkin alvarado-garcia

Chris and Clive have decided to keep up with the requirements of their company, to comply with the requirements of work and to keep up with the modern times by moving to a full-time business. All the shareholders have agreed to introduce advanced technology and move to a higher step to keep up with the requirements of modern times and work. We will be in this document critically analyse current existed CC MUSIC operation and information management and demonstrate an understanding of the strategic importance of information management. Evaluate the fundamental principles of information systems and the significance of a socio-technical approach to their use in CC MUSIC critically. Select and apply appropriate problem-solving and improvement approaches for information systems in CC MUSIC

Mohamed sorogy

This article explores the increasing prevalence of mental health disorders and the pivotal role of Artificial Intelligence (AI) in diagnosis and treatment. It highlights how AI enhances diagnostic processes, continuous monitoring, and personalized mental health care experiences. The piece showcases examples of AI applications in detecting signs of mental illness through speech and video analysis, emphasizing improved accuracy for conditions like depression, Post-traumatic stress disorder PTSD, Attention deficit hyperactivity disorder ADHD, and Autism spectrum disorder ASD. Additionally, it discusses AI's role in continuous monitoring, prediction, and addressing the shortage of psychiatrists globally. The article concludes by introducing AI-based apps designed to assist individuals in managing depression, serving as complementary tools in collaboration with healthcare professionals. Overall, it underscores the transformative impact of AI on mental healthcare, offering innovative solutions for more effective, personalized, and accessible support.

Dhruvitkumar talati

Scholars who apply artificial intelligence to political questions seek, most generally, to expand the scope and relevance of political model analysis. By incorporating the effects of variable human notions, traditions, and meanings, they seek to humanize political models. Most early applications of artificial intelligence in political science research address substantive issues pertaining to political decision making. Most of these works apply production-system technology to construct choice models in for eign-policy decision contexts. In recent years, political applications have begun to diver sify. Today, lively research efforts flourish in widely varied application areas, such as computational text analysis, logic programming, computer learning, and conflict sim ulation. The works reviewed here constitute the early steps of a nascent program of study. Much remains to be accomplished. Nevertheless, the efforts conducted thus far suggest many potentially fruitful research avenues. Youth are the most essential and promising segment of every country’s population. India has a larger advantage over other countries in terms of becoming a global leader because we effectively tap into the youth’s potential. Quality education is the only way to achieve this. With artificial intelligence’s potential growth in India, now is the ideal time to incorporate AI in education to reap its benefits and prepare India’s young for the future. Artificial intelligence has great potential in India. India’s AI technology has the potential to make it a world leader in artificial intelligence. In India, AI technology is used effectively in nearly every area, including agriculture, healthcare, education, infrastructure, transportation, retail, manufacturing, and

Dr gedam kamalakar

2-Pyrazolines are well known, and important nitrogen-containing five-membered heterocyclic compounds which belong to the family of azoles and have been found to possess considerable activities, like anticancer, antibacterial, antifungal, immunosuppressant and antiamoebic activity. In the present work, ten novel pyrazolines were prepared from chalcones, characterized and evaluated for their antibacterial activity against Staphylococcus aureus and Escherichia coli using Ciprofloxacin as standard and using DMSO as a solvent. Their activity was evaluated by measuring the zone of inhibition in mm. All the compounds exhibited antibacterial activity against Staphylococcus aureus and Escherichia coli. Among ten derivatives of compounds synthesized, the derivative with 2-chloro and 4-chloro substituted phenyl rings attached to pyrazolines exhibited the highest activity against both types of organisms. The derivatives with an unsubstituted phenyl group attached to pyrazolines exhibited comparatively less activity. Thus it can be concluded that pyrazolines containing substituted phenyl groups are effective broad spectrum antibacterial agents, and they can be developed as effective antibacterial agents.

Vinod b

Conservation of Biodiversity is an activity must carry out by all individuals in the world to share the benefits derived from biodiversity. It is a critical task to conduct the biodiversity census and conservation (Biodiversity C & C or Biodiversity C2). Throughout the world several Governament and Non-Governamental organizations work together as a unit to maintain our biodiversity in safe mode. India is a mega diverse country with rich biodiversity. The development of modern science and technologies have increased the value of biodiversity and associated traditional knowledge. To save valuable biodiversity and traditional knowledge of our country, National biodiversity board and State biodiversity board constantly involved in this approach and biodiversity law's support to conserve the living diversity.

Veerabhadraswamy al

The quality of software systems may be seriously impacted by specific types of source code anomalies. For example, poor programming practices result in Code Smells (CSs), which are a specific type of source code anomalies. They lead to architectural problems that consequently impact some significant software quality attributes, such as maintainability, portability, and reuse. To reduce the risk of introducing CSs and alleviate their consequences, the knowledge and skills of developers and architects is essential. On the other hand, ontologies, which are an artificial intelligence technique, have been used as a solution to deal with different software engineering challenges. Hence, the aim of this paper is to describe an ontological approach to representing and analyzing code smells. Since ontologies are a formal language based on description logics, this approach may contribute to formally analyzing the information about code smells, for example, to detect inconsistencies or infer new knowledge with the support of a reasoner. In addition, this proposal may support the training of software developers by providing the most relevant information on code smells. This ontology can also be a means of representing the knowledge on CSs from different sources (documents in natural language, relational databases, HTML documents, etc.). Therefore, it could be a valuable knowledge base to support the struggle of software developers and architects either to avoid CSs or to detect and remove them. The ontology was developed following a sound methodology. The well-known tool Protégé was used to manage the ontology and it was validated by using different techniques. An experiment was conducted to demonstrate the applicability of the ontology and evaluate its impact on speeding up the analysis of CSs.

Mehdhar s. a. m. al-gaashani

India is a country of immense diversity. It is home to people of many different racial, languages, ethnic, religious, and national backgrounds. Groups of people in India differ from each other not only in physical or demographic characteristics but also in distinctive patterns of behavior and these patterns are determined by social and cultural factors like language, region, religion, and caste. Apart from behaviour, economic development, level of education and political culture of the people in various social segments differ from region to region. More you can say that economy and cultures have been enriched by the contributions of migrants from round the globe. In an increasingly globalised world, migratory movements is continuously shaping the countries all over the world. Some countries like India and Ireland, which set the example of economic development and social integration, have the positive impact of the migration by globalisation and some countries like USA, which recently witness racism, xenophobia and discrimination have the negative impact on the migrants. It does not mean India do not face fragmentation and USA do not have cohesion. USA have many stories which show successful integration process, that facilitated the lives of immigrant communities, but being a developed country it still suffers from cultural alienation. In these countries, borders are built within borders to create cultural divides that do not allow people to integrate. Recently, this problem has become more prominent due to the rise of terrorism, clash of cultures in the world, leading to the glorification of stereotypes. People are becoming less accepting towards anyone who does not belong to their region. Migration does not stop after people move from one place to another place. The main question start after that ‘now what’ they will do. That is why this topic needs to be discussed thoroughly in order to find better solutions. This paper will begin with an analysis of different approaches to Migration, discuss the target groups for integration policies, provide indicators of the current situation of migrants and proceed to an analysis of integration tools: legislation, social policies and participatory processes. It will focus not only on the impact of migration but also on social integration, mix culture like indo-western culture in a comparative basis.

Ekta meena

Nano technology refers to enhancing the function and delivering the upcoming smart solutions to products at the nanoscale level. It relates to organizing the molecules for altering in dimension and characteristic for improvement like smart fabric. These fabrics could assist producers with the added prominence on a standard of living, visual attraction, and system wanted technological produces. Nanosize particles can unveil unpredicted characteristics dissimilar from the bulk matter. The fundamental principle is that the features could radically be altered after the material is decreased to the nanometer scale. Nanotechnology has multipurpose functions in fabric manufacturing in producing the stain and wrinkles defiance, flame retardant, antimicrobial and antistatic properties, moisture control, ultraviolet protection, and release features. The nanomaterials inside the fabric could influence numerous qualities, comprising reduction, electrical conductivity, flammability, and strength. Nanotechnology has additionally created a significant impression on various application and implementation. Nano-doctored fabrics may advance numerous fabrications as the nano-science progresses further.

Munima haque