Nature provides drugs in the form of medicinal plants to cure all ailments of mankind with fewer side effects. These medicinal plants can cause some serious damaging effects on the vital organs of the body too; there is a need of toxicity studies to provide their safe use both in human and animals. The present study reports the acute systemic toxicity of methanolic extracts of leaves of Adenanthera pavonina L., Peltophorum roxburghii Deneger., Prosopis cineraria Druce and Prosopis juliflora DC., (Mimosaceae) in swiss albino mice to explore their suitable doses for pharmacological screening. Observations were made immediately and after 1/2, 1, 4, 24 and 48hours of intraperitoneal drug administration. Adenanthera pavonina extract at the dose of 150 mg/kg body weight is considered to be safe. Whereas remaining extracts of investigated plants are relatively safe at the dose of 100 mg/kg body weight.
In this review work, we have extracted the essential details from prior patents about the synthesis of popular drug Lamotrigine. This initiative will provide a platform for the global researchers to invent new or innovate over the existing synthetic routes to isolate Lamotrigine with good yield and purity. The details of patents were sourced from “Google patents” search tool and the process specific details were elaborated with reaction schemes. In this context, twenty-four reactions schemes were tabulated for the better understanding of the disclosed ventures. The entire chronological exfoliation of details on the synthesis of Lamotrigine provides a clear evolutional vision of its synthetic flourish towards drug commercialization.
Mediterranean journal of pharmacy and pharmaceutical sciences
Introduction: Loco-regional anesthesia role is increasingly important in surgery, especially in postoperative pain control. Using ultrasound-guided techniques has made the loco-regional approach increasingly safe and manageable, guaranteeing excellent analgesic results and patient compliance. This bibliometric research aimed to identify the most influential papers on the adductor canal blocks and outline their characteristics. Methods: All articles published from 1980 to 2022 were included in the Web of Science, PubMed, and Scopus databases and found using the keywords “Adductor canal block” or “Saphenous nerve block” or “Peripheral nerve block” or “Hunter canal block” or “Subsartorial canal block” or “ACB” or “Knee” or “TKR” or “TKA” or “Analgesia” or “Arthroplasty” or “Replacement” in the title section had bibliometric analysis performed. The first 25 papers were selected and analyzed by the number of citations. The correlation between numerical variables was evaluated using the Pearson Correlation coefficient. Results: Literature screening found 252 publications. One hundred ten were only about the adductor canal block. Of these, 25 articles were selected for our bibliometric study, published in 8 different journals and with a total number of citations equal to 1.457. “Regional Anesthesia and pain medicine” journal – with 9 articles – was the one that produced the most. There was a significant strong correlation between the n. of citations and the citation rate (R = 0.84, p < 0.001). Conclusion: The purpose of this study is to be a guide on regional anesthesia and, particularly, on adductor canal block, making the most effective as well as the most cited articles available to anesthesiologists or other researchers interested in this topic.
Over the previous many years, India has taken a few While India has done well in guaranteeing access steps to accomplish its objectives towards universalization and universalisation of pre-essential, essential and of instruction. Past training changes, supported by auxiliary schooling, it is falling behind in numerous focal and state government plans and approaches, boundaries, for example, nature of instructing learning have helped in advancing access and value results, enrolments in advanced education and the and inch nearer to the predefined 2030 targets. Nature of abilities granted to its childhood. While free intercessions in the space of financing, development and innovation have been seen before, a durable methodology embracing each of the three switches are, numerous a period, missing in framework wide mediations. This paper examines key arrangements across these three switches that hold critical guarantee for India and gives proposals to states and different entertainers to accomplish 2030goals by utilizing these arrangements in a brought together way.
The Training and Development is considered as most important task to reach organizational goals. HR Analytics in Training of employees helps to understand better what is required among their Employees to increase Motivation and Skills which ultimately improves the employee Performance. HR Analytics is a method used to measure and organize information related to employee that give clean insights about the requirement of an employee. It also helps the Organisations to maintain record and analyse information of specific employee with specific skill sets, this helps in motivating, gaining efficiency and improving talent quality. For every organization, their employees are very precious asset. Thus, it is extremely essential to analyse, assess, and predict employee requirements. In this competitive world where new innovations come as a hurdle, it is very important to implement the new technology in organisation. This paper highlights the importance of providing training to the employees in organisation and its influence on employee’s better performance, organisational achievement and employees satisfaction.
Dry powder injection of spironolactone was developed using lyophilization and hydrotropic solubilization method. It is fast acting medication in emergencies like refractory edema associated with heart failure and hepatic cirrhosis. The ultimate aqueous based powder prepared showed 892.85 and 378.57 times increased solubility of spironolactone with sodium salicylate and sodium benzoate as compared to its water solubility. Amongst six hydrotropic agents, the solubility was increased in the order sodium salicylate > sodium benzoate > nicotinamide > sodium ascorbate > urea > sodium acetate. IR graph showed shift of wavenumber of characteristic peaks. Lyophilization technique produced more stable product against different temperature cycles and stability parameters. Degradation was only about 0.45% at room temperature and it was more about 1.3% at higher temperatures. Haemolytic activities of lyophilized formulations observed were 8.54% to 96.85% for sodium salicylate based hydrotropic lyophilized system and 3.50 to 88.17% for sodium salicylate based hydrotropic lyophilized system.
The current study was designed to explore the antiemetic effect of the methanolic extract of Tithonia diversifolia (Hemsl.) A. Gray., leaves using chick emesis model to validate their folk use in G.I. disorders. Emesis was induced by the oral administration of copper sulfate 50mg/kg body weight to male chicks of four days of age. The antiemetic activity was determined by calculating the mean decrease in the number of retching compared to the control. Tithonia diversifolia leaves extract (150 mg/kg orally) showed a significant (p <0.05) antiemetic effect and was compared with the reference drug chlorpromazine.
The maximum H. armigera and M. vitrata infestation was recorded in Pusa-992 (3.72% and 7.90%) and in D2 (1st week of July) sown crop with infestation of 4.54 and 13.08 per cent, respectively. Whereas, the infestation of pod fly, M. obtusa was maximum in Manak (2.72%) and 2.58 per cent pod infestation in D2 (1st week of July) sown crop. The infestation of pod borer complex was negatively associated with pod wall thickness (-0.909**, - 0.739*, -0.870*, -0.834*, -0.840*, -0.705* and -0.745*) and non-glandular type A (-0.730*, -0.945**, -0.768*, -0.766*, -0.923** and -0.728*) and (-0.751*, -0.759*, 0.766*, -0.852*, -0.802*, -0.895** and -0.832*) glandular type B (-0.864*, -0.734*, -0.871* and -0.858*) and (-0.729*, -0.705*, -0.730* and -0.845*) density of pod trichomes of top and middle canopy of the plant. Fat (-0.884**, -0.754*, -0.743*, -0.871* and -0.750*) phenol (-0.900** and -0.806*) and tannin (-0.792*, -0.812* and -0.763*) content showed negative correlation with the pod infestation, whereas, crude protein (0.740*, 0.881**, 0.734*, 0.810*, 0.823*, 0.856*, 0.844* and 0.711*) and total soluble sugar (0.738*, 0.792*, 0.793*, 0.898**, 0.714*, 0.816*, 0.888** and 0.819*) showed positive association. Based on the results, it can be concluded that the variety Pusa-992 and Manak was most susceptible to the pod borers.
Abstract Abundant solar energy is freely available almost round the year in India. As per the current scenario of global warming and climatic change, solar energy is the cleanest source in nature. Concentrated solar power (CSP)has hardly contributed to the overall installed solar power capacity in the country. CSP technologies are Parabolic Trough Collector (PTC), Linear Fresnel Reflector (LFR), Paraboloid Dish and Solar Power Tower. This paper presents a review of CSP in solar parabolic dish concentrator to understand thermal aspect like thermal efficiency, optical efficiency, useful heat gain, heat losses, solar irradiation, etc. for various applications and current development. The current scenario of global CSP is discussed to meet the future challenges and need of the society.
This study was conducted to optimize the integration of solar-photovoltaic-distributed energy resources (SPVDERs) within the Nigerian power system networks using an AI-based Particle Swarm Optimization (PSO) Algorithm. By employing a mixed research method, primary and secondary data were gathered to calculate flow analysis, NR method's equations, PSO's position update model, particle swarm optimizer algorithm, and application modeling including Solar-PV DER modeling. The AI-based PSO algorithm design was developed for optimizing SPV-DER integration in Nigerian power system networks, and key parameters and variables that needed consideration were identified. The study also established how the performance of the AI-based PSO algorithm could be evaluated and compared with other optimization techniques for SPV-DER integration within Nigerian power system networks. The study's results showed that voltage limits were within acceptable ranges, and solar power contributions were estimated at 880.10MW with 46,718 panels needed. The study concluded and recommended that investing in AI-powered tools for efficient power distribution; monitoring and resource optimization for sustainable energy sources would optimize performance and unleash Nigeria's sustainable energy potential.
With the emergence of HR Analytics in organizations; gathering, interpreting, and measuring of HR data has become easy. HR Analytics act as a tool which is a combination of statistical techniques that enable collection, interpretation, measurement, and forecasting of data. HR analytics enlightens solution to the organizational problems and make accurate decisions. HR analytics hence aligns HR strategy with overall business strategy to obtain a competitive advantage. HR analytics has passed through phases of measuring the Sub HR functions. HR Analytics provides various opportunities to business as it forecasts workforce requirements, enables HR to achieve corporate goals, and improve organizational performance which helps businesses in finding success. Despite the success, the business faces some big challenges like data governance, skill gap among employees, top management support, and many other such challenges in implementing and using the HR Analytics tool in business. Various research scholars have discussed HR analytics from so many years. So many papers have come focusing on the conceptual part of HR analytics, past present and future scenario of HR analytics, acceptance of HR analytics in organizations, the extent of its utility, rise of HR analytics, and various other related studies. This paper aims to find out the challenges and opportunities faced by the business firm in implementing HR analytics as a tool in organizations. This study also gives the theoretical concept of HR analytics based on secondary data collected from previous research papers, journal of the year 2016- 2019 given by various research scholars, blogs, and websites that provide HR analytics recent data. The study will provide the pros and cons of implementing and using HR analytics.
Toxicity of different insecticides was evaluated against 2nd and 3rd instar larvae of Helicoverpa armigera under laboratory conditions by leaf dipping method. The insecticides viz., thiodicarb 75WP, novaluron 10EC, spinetroam 11.7EC, indoxacarb 15.8EC, quinalphos 25EC, rynaxypyr 18.5SC, emamectin benzoate 5SG and cypermethrin 25EC were tested. Spinetoram was found most effective in managing the 2nd instar larvae of H. armigera and it was followed by novaluron 10EC and indoxacarb 15.8EC as compared to cypermethrin 25EC. Emamectin benzoate 5SG @ 1 x 10-7 to 1 x 10-9 per cent concentrations recorded 100% mortality against 2nd instar larvae and LC50 values for 3rd instar larvae was 0.00000000045%. Insecticides novaluron 10EC, spinetoram 11.7EC and cypermethrin 25EC did not show promising and consistent results against 3rd instar larvae of H. armigera at 24 hrs. The LT50 of novaluron 10EC at 0.00005% concentration was 19.861 hrs and it was 28.144 hrs at 0.000001% against 2nd instar larvae of H. armigera
Telangana, a rapidly developing state in India, is committed to transforming its higher education landscape to meet the demands of the 21st century. This abstract outlines the key strategies and initiatives being implemented to elevate educational standards and ensure that students receive a world-class learning experience. This paper explores the efforts and strategies implemented to elevate the standards of higher education in Telangana, focusing on the challenges and opportunities encountered in delivering quality education. Over the past decade, Telangana has taken significant steps to enhance its higher education system by improving infrastructure, curriculum, teaching methodologies, and fostering collaborations with national and international institutions. The introduction of state-specific initiatives, such as the Telangana Academy for Skill and Knowledge (TASK), along with reforms in university governance, accreditation processes, and the promotion of research and innovation, has played a crucial role in improving educational outcomes. The paper also delves into the socio-economic impact of these improvements, particularly the increased employability of graduates, their contributions to the local economy, and the role of emerging institutions like Young India Skill University. By addressing both the successes and ongoing challenges, this study aims to provide insights into how quality higher education can be a catalyst for regional development and social mobility in Telangana.
The Secret Language of Birthdays: Your Complete Personology Guide for Each Day of the Year by by Goldschneider, Gary, Elffers, Joost (Paperback) This The Secret Language of Birthdays: Your Complete Personology Guide for Each Day of the Year book is not really ordinary book, you have it then the world is in your hands. The benefit you get by reading this book is actually information inside this reserve incredible fresh, you will get information which is getting deeper an individual read a lot of information you will get. This kind of The Secret Language of Birthdays: Your Complete Personology Guide for Each Day of the Year without we recognize teach the one who looking at it become critical in imagining and analyzing. Don’t be worry The Secret Language of Birthdays: Your Complete Personology Guide for Each Day of the Year can bring any time you are and not make your tote space or bookshelves’ grow to be full because you can have it inside your lovely laptop even cell phone.
A major hallmark of Parkinson's disease is loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc). The pathophysiological mechanisms causing this relatively selective neurodegeneration are poorly understood, and thus experimental systems allowing to study dopaminergic neuron dysfunction are needed. Induced pluripotent stem cells (iPSCs) differentiated toward a dopaminergic neuronal phenotype offer a valuable source to generate human dopaminergic neurons. However, currently available protocols result in a highly variable yield of dopaminergic neurons depending on the source of hiPSCs. We have now developed a protocol based on HBA promoter-driven transient expression of transcription factors by means of adeno-associated viral (AAV) vectors, that allowed to generate very consistent numbers of dopaminergic neurons from four different human iPSC lines. We also demonstrate that AAV vectors expressing reporter genes from a neuron-specific hSyn1 promoter can serve as surrogate markers for maturation of hiPSC-derived dopaminergic neurons. Dopaminergic neurons differentiated by transcription factor expression showed aggravated neurodegeneration through α-synuclein overexpression, but were not sensitive to γ-synuclein overexpression, suggesting that these neurons are well suited to study neurodegeneration in the context of Parkinson’s disease.
The space-time dynamics of chlorophyll a concentration and seawater excess viscosity has been investigated in the hydrographically contrasting inshore and offshore water masses of the eastern English Channel. This was done during the phytoplankton spring bloom dominated by Phaeocystis globosa before and after the very large-scale formation of foam induced by an increase in wind-driven turbulence and the related wave breakings. The results suggest that the dynamics of chlorophyll a concentration and seawater excess viscosity are differentially controlled by the formation of foam through the intensity of the spring bloom and wind-generated turbulence.
The microbiological quality of purified water is a crucial aspect in the healthcare industry to ensure safety for different applications and uses. Understanding the trend and forecasting would be of prime importance to take proactive control and protective measures before catastrophic excursions might occur leading financial and health casualties. This study analyzes microbial density, a key metric for monitoring water purification system efficacy in healthcare facilities. The objective was to transform irregular, cumulative data into a regular time series and identify the optimal ARIMA model for forecasting to support predictive maintenance and regulatory compliance. Preliminary modeling attempts were conducted using simpler approaches such as linear, exponential and Holt-Winters methods without showing promising outcomes. Descriptive statistics and distribution analysis, including the Johnson Transformation for normality, were performed. ARIMA models with differencing orders d=0, d=1, and d=2 were fitted to the Aggregated cumulative logarithmically transformed data series, with the best model at each order selected based on minimum AICc. Model adequacy was assessed through parameter significance and residual diagnostics (Ljung-Box test). Descriptive statistics showed the aggregated series non-normal (p<0 d=0) AICc=319.39) d=2) AICc=258.98)>0.5). The ARIMA(2, 1, 2) model (d=1) was optimal (AICc=256.91), with all significant parameters and white noise residuals (p>0.3), effectively addressing non-stationarity. Forecasts from ARIMA(2, 1, 2) predict stable future growth. The ARIMA(2, 1, 2) model with first-order differencing is the most appropriate and robust model for forecasting data trends. Its strong statistical fit and reliable residual properties make it a valuable tool for predictive maintenance, optimizing resources, and enhancing patient safety in healthcare water systems, provided model performance is continuously monitored. Addressing data limitations and processing requires monitoring and exploring alternative models for future improvement.
Background The prevalence of diabetes is escalating globally, underscoring the need for comprehensive evidence to inform health systems in effectively addressing this epidemic. The purpose of this study was to examine the patterns of countries’ capacity to manage diabetes using latent class analysis (LCA) and to determine whether the patterns are associated with diabetes-related deaths and healthcare costs. Methods Eight indicators of country-level capacity were drawn from the World Health Organization Global Health Observatory dataset: the widespread availability of hemoglobin A1C (HbA1c) testing, existence of diabetes registry, national diabetes management guidelines, national strategy for diabetes care, blood glucose testing, diabetic retinopathy screening, sulfonylureas, and metformin in the public health sector. We performed LCA of these indicators, testing 1–5 class solutions, and selecting the best model based on Bayesian Information Criteria (BIC), entropy, corrected Akaike Information Criteria (cAIC), as well as theoretical interpretability. Multivariable linear regression was used to assess the association between capacity to manage diabetes (based on the latent class a country belongs) and diabetes-related deaths and healthcare costs. Results We included 194 countries in this secondary analysis. Countries were classified into “high capacity” (88.7%) and “limited capacity” (11.3%) countries based on the two-class solution of the LCA (entropy = 0.91, cAIC = 1895.93, BIC = 1862.93). Limited capacity countries were mostly in Africa. Limited capacity countries had significantly higher percentage of their deaths attributable to diabetes (adjusted beta = 1.34; 95% CI: 0.15, 2.53; p = 0.027) compared to high capacity countries even after adjusting for income status and diabetes prevalence. Conclusions Our findings support the report by the Lancet commission on diabetes, which suggests that differences in diabetes outcomes among countries may be explained by variations in the capacity of and investments made in their health systems. Future studies should evaluate initiatives such as the WHO Global Diabetes Compact that are currently underway to improve the capacity of resource-limited countries.
Nigeria is well known as a religious country where practically the citizens belong to one form of religion or the other unfortunately, the degrees of religious practces have not transformed into quality social, political, and economic lives for the people in terms of good governance, better standard of living, high ethical standards among others. It is descriptive research done as an exploratory paper in a mixed-method approach where some research questions were answered. Since ethical standards are predicated on simply knowing and doing what is good in doing to others what you will want done to you, people who claim to be religious as Nigerians should do better in this regard and many more given their faith. The effort to achieve this social rebirth can be achieved through social- entrepreneurship efforts this paper is advocating.
In today's globalized world, the role of foreign direct investment (FDI) in shaping higher education cannot be overstated. This paper explores the multifaceted impact of FDI on higher education institutions worldwide, delving into its influence on academic programs, research endeavors, institutional infrastructure, and student experiences. Drawing upon a comprehensive review of scholarly literature, policy documents, and case studies, this paper elucidates the ways in which FDI contributes to the expansion and transformation of higher education systems across the globe. The analysis begins by examining the motivations driving foreign investors to engage with higher education, including economic imperatives, strategic partnerships, and knowledge transfer objectives. It then explores the diverse forms that FDI takes in the higher education sector, ranging from institutional partnerships and joint ventures to the establishment of branch campuses and research collaborations. By analyzing specific examples from different regions, this paper illustrates how FDI shapes the academic landscape, fosters innovation, and enhances internationalization efforts within higher education institutions.