Comparative analysis of plant diversity with reference to Chamundi hills, in Mysore District of Karnataka State

Veerabhadraswamy al

India’s economic system has undergone significant changes in recent years reflecting globalization and changes in national policies. This paper provides a comprehensive analysis of India’s economic growth, focusing on imports and exports. The study explores the key drivers of economic expansion, including trade liberalization, trade agreements, and technological advancement. It also explores the impact of international trade and geopolitical events on business models. It assesses the role of policy measures such as the Goods and Services Tax (GST), the Make in India initiative, and various free trade agreements in generating economic benefits. The paper also assesses the trade balance and its impact on India’s economic stability and growth. The paper concludes with recommendations for improving the market, including diversifying entrepreneurs, investing in infrastructure, and strengthening the domestic economy. The review provides insights to policymakers, businesses, and academics who want to understand and harness India’s economic potential in the global economy

Dr gedam kamalakar

Every religion includes a whole series of beliefs and practices and we should start by concentrating our attention on religious practices to understand a religion. This paper intended to clarify the religious practices of Vietnamese Catholic Youth. Based on the theory of Glock and Stark and by using survey method, descriptive statistics, this is the first study to demonstrate the religious practices of youths in a diocese of Vietnam. This issue considered as an interesting research topic in the context of Vietnamese research because it explores youths lives from a different perspective by focusing on the micro level of analysis. The respondents in this study were total of 388 young adults between 18 and 30 years of ages from 24 parishes who were randomly selected through Probability Proportional to size sampling method. The findings of the research indicate that the ritualistic dimension of religiosity among Vietnamese Catholic youth is still so high in the context of change in Vietnam

Le minh tien

The present review shares an updated data on the botany, distribution, traditional medicinal uses, phytochemistry and pharmacology of Phaseolus lunatus L. All provided information was obtained through Google Scholar, Pubmed, Sci Finder, Scirus, Web of Science and library search.

Dr. salman ahmed

Febrile convulsions have been defined as any convulsion associated with a fever of more than 38 oC without central nervous system infection in a child aged six months to five years. Febrile convulsion can be divided into two groups of simple and complex seizures. This study aimed to determine the prevalence of febrile convulsions in Libyan children and to investigate the associated risk factors related to this type of seizure in children. 120 cases of febrile convulsions with one day - 12 years old were collected during from April to August 2022. A study has conducted in the Pediatrics Hospital in Bayda City, Libya about the prevalence of febrile convulsions in children, the data collection tool was a self-designed pre-tested validated questionnaire including general information such as age, gender, family history, and admission to the hospital. In addition, data such as body temperature, recurrent convulsion attacks, the condition of hospital admission, discharge status, the treatment in-hospital and out-hospital. The collected data were analyzed by using descriptive methods. Among the 120 children, the majority of the cases were aged between two years and five years old. The gender prevalence rate in this study was 55.0% in males and 97 of the children were hospitalized due to simple febrile seizure (80.8%), 92 of the cases with no family history of febrile convulsions (75.0%) and respiratory tract infections is the main cause of febrile convulsions. In conclusion, this study indicated that respiratory tract infections is the most common cause of febrile convulsions among Libyan children, however, a large sample study is needed to support this issue in Libya.

Mediterranean journal of pharmacy and pharmaceutical sciences

About 12% of the world's population is affected by different forms of urolithiasis, of which the recurrence rate in females is 47–60% and in males is 70–80%. Standard therapeutic agents (allopurinol, citrate, cystone and thiazide diuretics) prevent and treat urolithiasis. Still, these are not universally-effective due to common kidney stone relapse and other side effects. Surgical treatment causes long-term renal damage, hypertension and stone recurrence. Polyphenols, the plant-derived bioactive molecules, have showed protection against cancers, cardiovascular diseases, diabetes, osteoporosis and neurodegenerative diseases, among several other ailments. The role of these phytochemicals in urolithiasis management is emerging. Hence, the present review discusses peer-reviewed published literature to date on this aspect and highlights that polyphenols could effectively inhibit the formation of calcium oxalate urinary stones (most common renal stone), correlating with their antioxidant, anti-inflammatory, diuretic and angiotensin-converting enzyme (ACE) inhibition. Further, we have proposed the prospects and challenges in developing plant polyphenols into drugs against kidney stone prevention. This review might be a stepping stone for further investigation into the clinical implications of polyphenols in urolithiasis remediation.

Dr. salman ahmed

Mobile pervasive environment interact with several devices at varying service ranges. The technical heterogeneity of pervasive environment is expected to increase the system flexibility and adaptability on modeling with context training phase. While working with context based training phase, time entity measure is considered as the significant issue. The evaluation of the services through numerous devices during training phase does not acquire an effective service monitoring on mobile pervasive environment. Mobile pervasive environment based information extraction fails to modify the patterns as activities change over time. To improve the flexibility of context training phase in mobile pervasive environment, an Active Context Source Discover Training Phase (ACSDTP) with Classifier Decision Tree Support (CDTS) mechanism is proposed in this paper. Our research work is to develop an effective modification (i.e., updation) of the pattern on training phase with real world context as per changes over time. Initially, the ACSDTP set up the available sensors in pervasive environment to work with the ever changing set of context users. The available sensors are maintained using the Active Discover process. Second, the CDTS mechanism is designed using weighted prediction for easy identification of context result on the training phase. Decision tree is operated separately using the learning techniques, where the identification is performed in a significant manner with minimal time factor. The learning process is performed to identify the inferred situations. Finally, the integration process is carried out to work with the complex association between the situations and sensor data in the mobile pervasive environment to achieve flexibility and adaptability factor. Experiment is conducted on factors such as time entity measure rate, precision ratio, and user context result determination level.

Dr h shaheen

Social Network sites are one of the most prominent websites used in almost every facet of life. A social network reflects relationships among social entities, including acquaintances, co-workers, or co-authors. With the extreme success of Social networks, the misuse has also been escalated and unlocked the way for various illegal behavior and security threats. Social Network anomaly detection has become a critical topic to be explored by researchers. The nature of the input data is a significant aspect of an anomaly detection technique. In the field of anomaly detection in the social network, input networks can be classified as static or dynamic, Attributed or unattributed. The number of nodes and the connections between the nodes in static networks would not change with time. Attribute networks are pervasive in various domains and constitute a vital element of modern technological architecture, where node attributes support the topological structure in data exploration. While social networks build up over time, evaluating them as if they had been static is very beneficial. Numerous studies have been done for Anomaly detection, but to the best of our knowledge, research in static attributed anomaly detection has been very limited. This review tries to portray earlier research on detecting anomalies for social static attributed networks and thoroughly discusses state-of-the-art embedding approaches

Mohd haroon

The % age elemental composition (ash, crude fat, crude protein, moisture and total carbohydrates) was determined in the Macrotyloma uniflorum (Lam.) Verdc., Phaseolus lunatus Linn., and Phaseolus vulgaris Linn., legume flours. M. uniflorum contained moisture (8.9), ash (3.34), crude fat (1.30), crude protein (18.15) and total carbohydrate (68.31). Similarly, moisture (9.14), ash (3.73), crude fat (1.78), crude protein (22.64) and total carbohydrate (62.71) were estimated in P. lunatus. Meanwhile, P. vulgaris contained moisture (9.43), ash (3.61), crude fat (3.49), crude protein (19.46) and total carbohydrate (64.01). The gross, ash free, moisture and ash free calorific values were also determined. P. vulgaris showed the highest(3.91) and P. lunatus lowest (3.84), whereas M. uniflorum (3.86) caloric values (kcal/g), respectively. The elemental composition and caloric values of tested legume flours justify them as good sources of nutrition and energy.

Dr. salman ahmed

Numerous initiatives to rely on new renewable energy sources, such solar electricity, have been sparked by the increased interest in global warming. With an increase in home photovoltaic (PV) panels that are available to the public, more precise calculations of energy generation are now possible. Segmenting satellite images offers a straightforward and inexpensive way to categorize solar panels..This work suggests a method for classifying and segmenting solar panels that combines the watershed algorithm with deep learning approaches. First, a Convolutional Neural Network (CNN) architecture with the ResNet, EfficientNet, and Inception architectures is used for classification. Through the fine-tuning of pre-trained networks on a heterogeneous dataset of solar panels, transfer learning improves performance. The categorization model recognizes solar panels in a variety of settings with accuracy, making maintenance and monitoring easier. After classification, the watershed method uses intensity gradients to precisely delineate solar panels from the background. Tasks like defect detection and layout optimization are made easier when deep learning-based classification and watershed segmentation are combined. The outcomes of the experiments show how well the suggested method performs in terms of segmenting and classifying solar panels under various circumstances. A flexible automated solar panel management solution is provided by the combination of deep learning and the watershed algorithm, which promotes increased sustainability and efficiency in solar energy systems.

Bakka arun kumar

Although the importance of service quality has been recognised, few studies have addressed service quality in hotels from the perspective of employees. Therefore, this study aims to measure the service quality of four and five-star hotels in Jordan from the employees’ perspective based on the SERVQUAL model. The current study was carried out by measuring the data gathered according to a five-point Likert scale. A quantitative survey method was applied, and therefore the SERVQUAL instrument was used to measure service quality. Data obtained from a sample of 238 respondents drawn from ten four- and five-star hotels in Jordan were analysed with the SPSS software based on descriptive statistics. The study’s findings indicated that service quality of five-star hotels in Jordan was higher than that of four-star hotels.

Mukhles m. al-ababneh

This paper investigates the deep learning techniques to improve radio resource management (RRM) in vehicular communication network (VCN). In this paper, the deep learning algorithms are highlighted which are used for RRM. Deep learning technique in RRM is basically used to train the model using various algorithms of resource management including network data. Various machine learning tools will be helpful to get best solutions for resource allocation in a large cellular network.

Vartika agarwal

Increasing presence of women in economic pursuits like entrepreneurship activities is believed to be the result of development policies. This belief ignores the role of socioeconomic factors in the growth and development of women entrepreneurship. Many women entered the world of business and they have become successful entrepreneurs in various business activities. Women entrepreneurs in Dakshina Kannada district have set up business ventures in a range of industries. The study has been conducted to know the extent of problems faced in managing work and life by women entrepreneurs. Majority of the respondents started their business or service to become independent and to meet the financial needs of their family. From the study it has to be found that majority of the women find it difficult to manage their work and family and they are trying to overcome these difficulties by time management and with the help of their family members.

Thara s shetty

Purpose: The study aims to explore all possible morphological features of calcium oxalate monohydrate and calcium oxalate dihydrate crystals and their habits in case of inhibition. Methods: The study was carried out on a glass slide to observe the growth and inhibition of calcium oxalate monohydrate (COM) crystals by using infusions (5-20%) of Macrotyloma uniflorum (Lam.) Verdc, Phaseolus lunatus Linn. and Phaseolus vulgaris Linn. The reagents of the double diffusion gel technique were used for this purpose. Results: Calcium oxalate crystals are divided into three types: calcium oxalate monohydrate, dihydrate, and trihydrate. These types are further divided into sub-types based on their morphology. In the case of calcium oxalate monohydrate (COM), these crystals are donuts, dumbbells, needles, platy, prismatic, rosette, round edges and X-shaped. Calcium oxalate dihydrate (COD) is the elongated large rods and tetragonal bipyramidal forms. In the present study, dendritic or arborescent (tree-like platy crystals) were observed for the first time as part of a COM growth. Long chain loose agglomerates and compact aggregated crystals are the typical pattern of calcium oxalate crystals. All tested infusions caused growth inhibition of calcium oxalate crystals. Smaller nucleation zones and defective shapes of the grown crystals are declared different growth inhibition patterns. Conclusion: This study gives extensive information about morphology, aggregation and growth inhibition of calcium oxalate crystals.

Dr. salman ahmed

It is with more sorrow and tremendous sadness we remember the death of our colleague the Libyan pharmacist, professor Mokhtar Ramadan Haman, at his home in Tripoli, Libya after long-suffering from brain cancer. He died on 02, February 2017 and his immaculate corpse was buried on the following day at the Souk-Al-Ahad cemetery, Bin Ghashir Palace. Professor Haman, was born in Tripoli, Libya, on January 1, 1957. He obtained his Bachelor of Pharmaceutical Sciences in 1981 at the University of Tripoli and his Ph.D. in Pharmacognosy in 1989 at Cardiff University, UK.

Mediterranean journal of pharmacy and pharmaceutical sciences

The incidence of diabetes mellitus has increased globally making it a major public health concern. Diabetes mellitus is the most common metabolic disorder that causes an imbalance in the electrolytes which regulate essential metabolic mechanisms of the body. This study aimed to estimate the electrolyte levels in Libyan patients with type II diabetes mellitus and to investigate their relations to glycemic control and body mass index. A total of 122 Libyan subjects whose ages ranged between 35 years and 60 years for both sexes were included in this study, 77 patients were type II diabetic patients (37 males and 40 females) and 45 subjects were healthy individuals (23 males and 22 females) live in Tripoli area, Libya. The levels of blood glucose, HbA1c, sodium, potassium, chloride, magnesium and calcium were estimated in this study along with the measurement of body mass index, systolic and diastolic blood pressure. All the findings were statistically analyzed by one-way ANOVA test. Significant increases in glucose, HbA1c, potassium, chloride, calcium, blood pressure and BMI among diabetic patients were observed as compared to the healthy individuals. On the other hand, significant decreases in sodium and magnesium levels among the diabetic patients were observed as compared to the control group. In addition, significant alterations in all the biochemical parameters in uncontrolled diabetic patients as compared to the controlled diabetic patients, and in unhealthy weight diabetic patients as compared to the healthy weight patients. It is concluded that diabetes mellitus results in an imbalance of electrolytes. Poor glycemic control and obesity have adverse effects on electrolyte balance among diabetic Libyan patients. Good glycemic control, maintaining a healthy weight and regular evaluation of electrolytes among diabetics can reduce the fatalities associated with electrolyte rearrangements.

Mediterranean journal of pharmacy and pharmaceutical sciences

Investigating school performance and competencies, especially on leadership, received a considerable attention in the past. In fact, there have been multitudes of evidence that leadership can impact school performance, student achievement, or outcome. Also, there was no single measurement of school performance. This study examined the influence of leadership and core behavioral competencies on the school performance of school heads. This was to build a new model of school performance. Using an explanatory research design, it administered a survey questionnaire to 192 randomly chosen school heads from the 37 districts of Department of Education Division of Surigao del Sur. Also, it used data mining for the performance ratings of school heads from the division office. Regression analysis tested three hypothesized models of school performance where leadership and core behavior competencies serve as independent variables. Results showed that leading people was a significant predictor of school performance. Thus, leading people can best explain the school improvement as a proposed model. The results have implications for future research, leadership practice, and theoretical development of school performance model among school heads.

Manuel caingcoy

Background: The legume pod borer, Helicoverpa armigera (Hübner), is one of the most damaging crop pests, including pigeonpea. Host plant resistance is a component of pest management and therefore, we standardize a nylon bag No-Choice Bioassay technique to screen for resistance to H. armigera under field conditions. Methods: Pigeonpea plants were infested with 24 h old 1, 2, 3, 4 and 5 larvae per plant inside the nylon bag. Observations were recorded on pod damage, larval survival, larval weight, pupation, adult emergence, and fecundity after 10 days. Result: Pigeonpea varieties AL-201, H03-41 and PAU-881 exhibited lower pod damage (15.89 to 19.77%) and larval weight (12.02 to 13.82 mg). The expression of resistance to H. armigera was associated with trichome density, pod wall thickness and higher amount of phenolic compounds and condensed tannins. Lower trichome density and thin pod walls and higher amounts of sugars rendered the varieties Paras, Manak and Pussa-992 more susceptible to H. armigera. Nylon bag assay can be used to screen and select pigeonpea cultivars for resistance to H. armigera.

Dr. babu lal jat

Cancer is one of the most severe medical conditions in the world, causing millions of deaths each year. Chemotherapy and radiotherapy are critical treatment approaches, but both have numerous adverse health effects. Furthermore, the resistance of cancerous cells to anticancer medication leads to treatment failure. The rising burden of cancer requires novel, efficacious treatment modalities. Natural remedies offer feasible alternative options against malignancy in contrast to available synthetic medication. Selective killing of cancer cells is privileged mainstream in cancer treatment, and targeted therapy represents the new tool with the potential to pursue this aim. The discovery of innovative therapies targeting essential components of DNA damage signalling and repair pathways, such as ataxia telangiectasia mutated and Rad3-related Checkpoint kinase 1 (ATR-CHK1), has offered a possibility of significant therapeutic improvement in oncology. The activation and inhibition of this pathway account for chemopreventive and chemotherapeutic activity, respectively. Targeting this pathway can also aid in overcoming the resistance of conventional chemo- or radiotherapy. This review enlightens the anticancer role of natural products by ATR-CHK1 activation and inhibition. Additionally, these compounds have been shown to have chemotherapeutic synergistic potential when used in combination with other anticancer drugs. Ideally, this review will trigger interest in natural products targeting ATR-CHK1 and their potential efficacy and safety as cancer-lessening agents.

Dr. salman ahmed

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