formulation and evaluation of herbal face pace pack

Sumaira taj

Vigna trilobata (L.) VERDC. belongs to the family Papilionaceae, which is found throughout the tropical and warm temperate regions of the world. In folk medicine, it is used for arthritis, fever, cough, dysentery, and urinogenital disorders. Different secondary metabolites, such as alkaloids, glycosides, terpenoids, and flavonoids, have been reported in Vigna trilobata. It has antioxidant, antidiabetic, and anti-inflammatory activities.

Dr. salman ahmed

The present study aimed to explore the possible morphological features and growth patterns of calcium oxalate monohydrate crystals. The study was carried out on a glass slide under the microscope. The results showed that the calcium oxalate monohydrate crystals may be arborescent, donut, dumbbell, needles, platy, prismatic, rosette, round edges, loose agglomerates and compact aggregates. The study provides detailed information about calcium oxalate monohydrate crystals' morphology and aggregation patterns.

Dr. salman ahmed

Tidal and riverine flows are viable energy sources for consistent energy production. Installing and operating marine hydrokinetic (MHK) turbines requires assessing any potential impact of debris accumulation on turbine performance and sediment transport. More specifically, MHK devices may alter the natural sediment transport processes and cause debris accumulation, disrupting the natural sediment dynamic. In turn, these processes could affect the turbine’s performance. We carried out a series of large-eddy simulations coupled with bed morphodynamics, introducing various debris loads lodged on the upstream face of a utility-scale turbine tower. The objective is to systematically investigate the impact of debris accumulation on the performance and hydro-and morpho-dynamics interactions of the horizontal-axis MHK turbine under rigid and mobile bed conditions. To that end, we (1) employed the actuator line and surface methods for modeling turbine blades and the nacelle, respectively,(2) directly resolved individual logs, and (3) solved the Exner equation to obtain the instantaneous bed deformation of the mobile bed. Our analysis revealed that while the spinning rotor amplifies scour around the pile, debris accumulation modifies the sediment dynamics of the system. Also, it found that morphodynamic processes accelerate the wake recovery, slightly enhancing the turbine's performance.

Hossein seyedzadeh

In this study, we implement a lightweight CNN for sarcasm detection using audio input. To achieve this goal, we propose DepthFire block. We propose a lightweight version of the traditional Depthwise convolution layer that focuses on reduced memory. Unlike the traditional depthwise convolution layer that focuses on reducing the memory requirements of the entire architecture, our solution offers a specific and targeted approach that specifically reduces the memory requirements of the depthwise convolution layer through parameter reduction.We evaluated the impact of its energy consumption and the performance of our proposed solution with other existing solutions and on different activations, pooling functions and datasets.We further tested the applicability of the solution on 2D input.And our solution obtained 82.98 percent model size reduction as compared to MobileNetV2 and 58.94 percent as compared to MobileNetV3 small with a energy reduction of 56.48 percent on CIFAR10 dataset.

Jiby mariya jose

This report discusses the leadership and management functions by examining their definitions, roles, and characteristics. Besides, the differences are identified, culminating in a discussion of the skills associated with each function.

Zamzam abdelazim

The current study was designed to explore the antiemetic effect of the methanolic extracts of Acalypha fimbriata Schumach. & Thonn., Acalypha ornata Hochst., and Acalypha wilkesiana cv. godseffiana Muell Arg., aerial parts using chick emesis model to validate their folk use in G.I. disorders. Emesis was induced by the oral administration of copper sulfate to male chicks. All the extracts (150 mg/kg orally) showed an antiemetic effect and were compared with the reference drug chlorpromazine. Among all the extracts, Acalypha ornata Hochst., leaves extract showed the highest (94.51%) and Acalypha fimbriata Schumach. & Thonn., stem extract showed the lowest (35.04%) antiemetic effect.

Dr. salman ahmed

The need for renewable energy sources in addressing global energy demands is growing, especially in Nigeria where electricity demand often exceeds supply. Solar photovoltaic (PV) systems have become a viable solution, with federal universities in Nigeria, as major electricity consumers, recognizing their potential. However, determining the right size of PV systems for individual faculties within these universities is a complex task. This study attempted to simplify this process by introducing an innovative approach to size PV systems in these faculties. The research method used the Extended Kalman Artificial Neural Network (EKF-ANN) and the Crow Search Algorithm (CSA) to enhance the accuracy of PV system sizing. Data was collected on the study site, load demand, weather conditions, system components, and operational control and systems models to establish sizing criteria. The study focused on the optimal size of a solar PV system at the Faculty of Law building, University of Port-Harcourt, and how to improve its accuracy. The results showed that using global solar insolation parameters, EKF-ANN predicted values for global temperature, flock size, and maximal iteration. This optimized system could generate surplus power for effective grid supply. The study found that the optimal size of the series-connected panels for the Faculty of Law building was 96, 83, 73, and 65 units, with corresponding insolation values ranging from 3.737 to 4.368 kW/m2. It was concluded that the combination of CSA and EKF-ANN in solar PV sizing is suitable for achieving optimal outcomes for energy storage and grid supply. Nonetheless, the study recommended additional investigation into real-time and grid-connected solutions to enhance the proposed approach's effectiveness.

Fxintegrity publishing

Vehicular adhoc structures (VANETs) handle the Public Key Infrastructure (PKI) and Certificate Revocation Lists (CRLs) for their security. In any PKI structure, the check of a got message is performed by checking if the check of the sender is joined into the current CRL, Verifying the reliability of the certification and standard for the sender. In this paper, it has been propose a Vehicular Digital Hash Gen show up (VDHG) for VANETs, which replaces the dull CRL checking process by a profitable revoking checking process. The renouncing check process in VDHG uses a Private Key Infrastructure (PKI), where the key used in finding the VDHG is shared particularly between On-Board Units (OBUs). In like manner, VDHG uses a novel probabilistic key stream, which extras with OBUs to trade and revive an issue key. VDHG can on a very basic level lessen the data torment in light of the message declaration deferral pulled back and the standard assistance structures using CRL

Dr h shaheen

Pumping fluid is one of the crucial parts of any microfluidic system. Using electric and magnetic fields as a substitute for moving parts can have many advantages. In this study hydrodynamic and heat transfer characteristics of electroosmotic flow under influence of lateral electric and transverse magnetic field, are studied numerically. Results indicate that the dimensionless parameters such as Hartmann number, intensity of the lateral electric field, pressure gradient parameter and aspect ratio have an important role in controlling flow. It can be implied that the enhancement of pressure gradient leads to the decrease of critical Hartmann number, and this dependency can be reduced from 44% to 7% for S=0.5 to S=50 in two pressure gradients of Ω=1 and Ω=20. In addition, the reduction of aspect ratio of microchannel section leads to the increment of critical Hartmann number in a specified lateral electric field. At the end, thermal analysis is being done by consideration of the effects of magnetic and electric fields on the Nusselt number.

Hossein seyedzadeh

Malignant melanoma is the most dangerous type of skin cancer. It is becoming more common globally and is increasingly resistant to treatment options. Despite extensive research into its pathophysiology, there are still no proven cures for metastatic melanoma. Unfortunately, current treatments are frequently ineffective, costly, and have several adverse effects. Natural substances have been extensively researched for their anti-MM capabilities. Chemoprevention and adjuvant therapy with natural products is an emerging strategy to prevent, cure or treat melanoma. Numerous prospective drugs are found in aquatic species, providing a plentiful supply of lead cytotoxic chemicals for cancer treatment. Anticancer peptides are less harmful to healthy cells and cure cancer through several methods, such as altered cell viability, apoptosis, angiogenesis/metastasis suppression, microtubule balance disturbances and targeting lipid composition of the cancer cell membrane. This review addresses marine peptides as effective and safe treatments for MM and details their molecular mechanisms of action.

Dr. salman ahmed

Background: Exhaust noise is known to be a major pollutant in the environment and workplaces due to the development of industry and transportation. Exhaust noise can be reduced to normal levels by mufflers or silencers. A reactive muffler efficiently dampens noise at low frequencies by reflecting sound waves. Therefore, muffler design is of great importance in exhaust noise reduction. Transmission loss (TL) is an essential characteristic of mufflers, demonstrating their acoustical properties. Any acoustical appliance is selected based on its damping performance and reliability. Predicting TL through experimentation is different from theoretical calculations. Methods: In the present study, a double-expansion chamber muffler was designed as a reflective muffler on a laboratory scale by equations. Next, TL was evaluated by an impedance tube applying a 4-microphone technique to determine the acoustical performance of the designed muffler. Results: Findings revealed that the TL of the muffler at 312 Hz frequency obtained 27.5 dB agreement with the required TL of the muffler of 25 dB. In addition, the TL of the muffler against frequency attenuates noise in broadband frequencies. Conclusions: These results indicated that the built muffler provides desired TL for exhaust chambers. Therefore, equations can be used as a precise method for muffler design. Furthermore, multi-expansion chamber mufflers are useful for reducing noise at a wide range of frequencies.

Niloofar

Currently, vehicle to vehicle communication is an important application and thrust area of research. In this paper the author highlighted the workings, executions, implementations and the application of the Internet of Things (IoT) in transport management and vehicle to vehicle communication systems. The main advantage of this Industry 4.0 based IoT technology is that it helps us to reduce road traffic and accidents. The limitations of GPS like accuracy, precision, effective analysis, etc. has led to the evolution of Mobile based V2V communication which is more effective, error proof, result oriented and smart. For proper analysis of traffic vehicle to vehicle communication is established. Random Data from vehicles taken by numerous sensors. Any car coming in its variety could effortlessly share the data by either of two cars nearby. With the help of vehicle to vehicle communication we can provide a path of emergency vehicles to reach the destination quickly. Based on the V2V application, Red and Green signals can be marked on the path as per traffic density and the emergency vehicle can take the shortest, fastest and low density route. Similar such examples are elaborated in the current research manuscript that will help the researcher in effectively finding the research gap for further advancement, analysis, innovation and optimization.

Vartika agarwal

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

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

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

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

Background: The goal of nursing profession is to prepare the nurses to meet diverse needs of the patients, delivering holistic care to the patients. It is the need of the hour for the Nursing students to utilize their knowledge, skills, and technologies to practice independently and collaboratively with all health professionals. Any type of negligence in their work may result in dire consequences. Method: Descriptive Survey Research design was adopted for a study to assess the Academic Procrastination factors for General Nursing students at selected Schools of Nursing, Bhopal, with Sample size of 50 General Nursing students. Result: Result revealed that majority, 35 nursing students were male whereas 15 were females, majority of students (18) were in age group of 22-23 years, 32 students were in GNM 3rd year, mostly (43) resided in Urban area, majority (44) belongs to nuclear family, and 28 mothers as compared to 41 fathers of students were educated. Out of 50 respondents who were the subjects of research on the causes of academic procrastination, namely: 12 respondents (24%) said that it was caused by habit, 15 respondents (30%) answered Poor time management, 23 respondents (46%) said it was due to Tiredness, 28 respondents (56%) said it was due to peer pressure, 22 respondents (44%) due to Low motivation, 14 respondents (28%) answered unclear tasks, and 36 (72 %) said it was due to Deadlines for submission. Majority of nursing students 38 (76%) were moderately affected by Personal factors, and by Environmental factors only 26 (52%) students were moderately affected as compared to academic factors at 12 (24%) students who were moderately affected. Conclusion: The study concluded that personal and environmental factors have more effects on academic procrastination as compared to academic factors

Dr k c yadav

COVID-19 was first reported in Wuhan, Hubei Province of China a few months ago (December 2019) and had since become a major challenging public health problem for not only China but also many countries around the world. It was on March 11, 2020, characterized by WHO as a pandemic. The pandemic so far has killed more than 526,465 people and infected more than 11,046,917 people around the world as of 05 July 2020. Nigeria currently has 28,167 confirmed COVID-19 cases with 11,462 (40%) discharged, 16,071 (57%) currently receiving treatment at designated facilities across the country and unfortunately 634 (3%) deaths as at the time of writing this manuscript. As far as the authors are aware, there are little or no work carried out on the implications of COVID-19 on dental practices in Nigeria. Recently, COVID-19 was identified in saliva of infected patients and so transmission via aerosols and splatter generated during dental procedures is sure. To limit exposure, there was a need to avoid scheduling patients except for emergency dental care during this outbreak. This limitation on activities of the dental sector has a very huge impact on the economy of the sector as it has already resulted in serious monetary implications for dental practices worldwide. While dental practices in the high-income countries are getting help from their respective Government, those in the middle and low-income countries like Nigeria have been left to wallow in bankruptcy without support. The authors highly recommend that the Government of these neglected countries, step up and support dental practices that are on the brink of closing down due to the low turnout of patients to their practice during this outbreak.

Hope inegbenosun

Urolithiasis is a common worldwide problem with high recurrence. This review covers Euphorbiaceae twenty (20), Cucurbitaceae eighteen (18), Acanthaceae and Amaranthaceae fifteen (15), Cupressaceae twelve (12), Caryophyllaceae eleven (11), Anacardiaceae ten (10), Amaryllidaceae, Apocynaceae and Asparagaceae nine (09), Ericaceae and Equisetaceae eight (08), Arecaceae and Caesalpiniaceae seven (07), Chenopodiaceae six (06), Aspleniaceae, Capparidaceae and Crassulaceae five (05) plants used globally in different countries. Hopefully, this review will not only be useful for the general public but also attract the scientific world for antiurolithiatic drug discovery.

Dr. salman ahmed