Vigna radiata (L.) R. Wilczek, commonly known as Mung bean, is one of the most important pulse crops grown from tropical to sub-tropical areas worldwide. Mung bean is reported to help prevent the loss of nails and hair, reduce the risk of hypercholesterolemia and coronary heart disease, and decrease the absorption of toxic substances. Flavonoids and phenols are reported from this plant. Antioxidant, anti-diabetic and hypocholesterolemic activities are also shown by Vigna radiata

Dr. salman ahmed

Financial sector needs special attention pertaining to incorporation of the ESG criteria. Economic and financial issues coupled with climate change would have negative impact on the stability of financial institutions. This research paper attempts to synthesize and summarise scholarly articles published in Scopus database on ESG domain with reference to banking sector using bibliometric analysis. The objective of this review paper is to understand from past literature the trajectory of studies in the domain of ESG. There is a substantial growth in frequency of publication in the year 2022 along with annual growth of around 30 percent during 2015-2023. Bibliometric with MS-Excel, R-Studio and VOS-viewer were used to identify and analyze research trends related to the number of studies, research fields, authors, nations, institutions, and keywords. The important keywords identified in the bibliometric analysis were sustainability, corporate social responsibility, sustainable finance, banks performance.

Dr. mohammed nizamuddin

Diabetes mellitus (DM) is considered as ”the mother of all diseases" because it causes many complications. Knowing and measuring medication adherence may have a greater effect on DM patients. Several studies in Indonesia used a questionnaire scale to measure adherence, however they do not validate the study population, so it could still be found anomalous correlation analysis between adherence and clinical data even though it measured in the same country and scale. This study measure the adherence level of type 2 diabetes patients, evaluates the validity of the medication adherence scale, and analyze the correlation with the clinical outcome of type 2 diabetes patients in four health centers in Banyumas district. The study uses a cross-sectional design in Prolanis type 2 DM patients of January -April 2020. The adherence is measured by MARS-10, backward-forward translation method followed by content and internal validation. Clinical outcome is evaluated based on fasting blood glucose measurement. The results of the MARS-10 Gregory index analysis showed content validity in the high category (IG ≥ 0.8). The content validity showed the results of 9 questions with the value of r count> r table (n = 30, r table = 0.361). Reliability analysis showed Cronbach's Alpha 0.747> 0.6. The measurement showed 80.3% were adherent patients and 19.3% were non-adherent patients. Correlation analysis showed that there was no significant relationship (p> 0.05) between patient adherence and clinical outcome. Those results showed that type 2 diabetes mellitus patients in 4 health centers were categorized as adherent but not correlated with the clinical outcome. This was enabled due to the clinical outcome was simultaneously influenced by several factors: general factors, individual factors, and unpredictable factors.

Much ilham novalisa aji wibowo

Cloud computing is a technology of delivering resources such as hardware, software (virtual too) and bandwidth over the network to the consumers worldwide. All the services are requested and accessed through a web browser or web service. The main advantage that cloud is provided to the nation worldwide is that it is not so easily affordable to one and all. Multi-conglomerate companies invest a lot of money on the cloud and let people access it for a smaller cost and even free at the lowest level of the consumer chain. In this paper we address to the problems that the cloud technology faces and how it can be overcome.

Pavan m

Financial sector needs special attention pertaining to incorporation of the ESG criteria. Economic and financial issues coupled with climate change would have negative impact on the stability of financial institutions. This research paper attempts to synthesize and summarise scholarly articles published in Scopus database on ESG domain with reference to banking sector using bibliometric analysis. The objective of this review paper is to understand from past literature the trajectory of studies in the domain of ESG. There is a substantial growth in frequency of publication in the year 2022 along with annual growth of around 30 percent during 2015-2023. Bibliometric with MS-Excel, R-Studio and VOS-viewer were used to identify and analyze research trends related to the number of studies, research fields, authors, nations, institutions, and keywords. The important keywords identified in the bibliometric analysis were sustainability, corporate social responsibility, sustainable finance, banks performance.

Dr. mohammed nizamuddin

Social media use is inherently linked to everyday life in the digital world, from professional contexts to leisure time. Prior research focused on antecedents of social media use such as personality traits, age, gender, social skills, and also on broad range of its various effects. Positive effects include extension of friendship network, diminishing anxiety in social interaction, and improving exercise motivation. Problematic social media use and addiction are related to stress, depression, suicidal thoughts, loneliness, and scarce school engagement. Less attention has been paid to the relationship between social media use and well-being. Inconsistent results were obtained; being emphasized either small relationship between time spent using social media and psychological well-being, or absence of significant correlation. Aims: Therefore, we analyzed in this research what degree and how active social media use and self-esteem would lead to subjective well-being. Starting from the necessary distinction between the passive and active social media use, the aim of this study was to analyze the direct and indirect effects of active use and self-esteem on subjective well-being. Method: Based on a cross-sectional design, the survey data was collected from a sample consisted of 653 participants (male = 274; M age = 21.52; SD = 4.33). To verify the hypothesized direct and indirect effects included in the multiple mediation model, a path analysis was performed. Results: The findings showed positive association between active social media use, self-esteem, affective engagement in social media use, sense to belong to online community, number of friends/followers, and subjective well-being, The path analysis revealed excellent fit between proposed mediation model and sample data. Active social media use has directly effect on subjective well-being, and indirectly via sense to belong to online community. Interaction between active social media use and self-esteem significantly predicts subjective well-being. The relationship between affective engagement in social media use and sense to belong to online community is mediated by number of friends or followers on social media platforms. Conclusion: The findings of this study extend the previous research, providing support for the relationship between active social media use and subjective well-being. Keywords: active social media use; number of friends/followers; affective engagement in social media use; sense to belong to online community; subjective well-being; mediation analysis.

Elena stănculescu

Objectives: Viral gastroenteritis is a major health problem that is common worldwide, especially in developing countries, and is responsible for the majority of childhood diarrhea disease. The aim of this study was to determine prevalence of rotavirus and enteric adenovirus frequency and the age and seasonal distribution of viral agents in children with acute gastroenteritis attending to our hospital. Materials and Methods: In this study, 6999 stool specimens were investigated for the presence of rotavirus and adenovirus. The samples were obtained between January 2013 and August 2019 from children age 0-17 suffering from acute gastroenteritis attending to our hospital. Frequency of rotavirus and adenovirus were retrospectively evaluated with regard to seasonal distribution, gender and age of patients. Results: Viral antigens were detected in 1341 (19.1 %) of the specimens examined in the study. Among the positive results, rotaviruses and adenoviruses frequency were detected in 14.7 %, 4.4 %respectively. Rota-adenovirus co-infection was 8.4 %(n=113). Whereas rotavirus antigen was determined in all age groups, the highest was found in children age 0-2 with a rate of 57.9 %. Moreover, considering the seasonal distribution of the cases, it can be said that rotavirus infections are mostly observed in winter and spring, while adenovirus infections are frequently detected in summer and autumn. Conclusion: Rotavirus and enteric adenovirus infections are important public health problems that caused hospitalization, morbidity and mortality among children <5 years children in our country. As well as an approach to prevention of acute gastroenteritis, it is very important to detect the agent correctly and quickly for the treatment approach.

Sağlık bilimleri enstitüsü dergisi yyÜ

Hydatid disease or hydatidosis is a worldwide zoonosis disease caused by the tapeworm of Echinococcus granulosus and still widely endemic in Tunisia especially in rural areas where the sheep-dog cycle is dominant. It is an important public health problem in the pediatric age group causing significant morbidity and mortality. We report a case of primary hydatid cyst of the small intestine in a child and we want to highlight the difficulty that we meet in the diagnosis despite the contribution of imaging.

Sameh

The current study was designed to explore the analgesic effects of methanol extracts from the leaves of Samanea saman Merr. and Prosopis cineraria Druce., using tail immersion test. Thermal stimuli produced painful reactions in mice by dipping the tail tips of the mice into hot water. Methanol extracts of the leaves of Samanea saman Merr. and Prosopis cineraria Druce. were administered intraperitoneally at the dose of 100mg /kg body weight. Pethidine 50mg/Kg intraperitoneally was used as a standard analgesic drug. The tail-flick latency delay was measured at 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 hours after the intraperitoneal administration. Both extracts produce analgesic effects when compared with pethidine.

Dr. salman ahmed

The education sector is one of the most affected areas by the pandemic. It caused a huge chasm that could affect the teaching-learning industry in the future. Although it is possible to have deprivation in education, the concept must not be embraced. Instead, HEI should focus on developing new and innovative ways of delivering education constructively. This paper focuses on the importance of both research and teaching in education. The two areas are identified and analyzed respectively to adopt innovative methodologies to enhance productivity in a higher learning institute. This paper intends to propose relevant teaching and learning methods to benefit the students, the university, and society. This paper utilizes several factors involved in the pandemic crisis and suggests ways to use several methods to regenerate the learning environment without hassle.

Santosh kumar

Teaching and learning computer programming is challenging for many undergraduate first-year computer science students. During introductory programming courses, novice programmers need to learn some basic algorithms, gain algorithmic thinking, improve their logical and problem-solving thinking skills, and learn data types, data structures, and the syntax of the chosen programming language. In literature, we can find various methods of teaching programming that can motivate students and reduce students’ cognitive load during the learning process of computer programming, e.g., using robotic kits, microcontrollers, microworld environments, virtual worlds, serious games, interactive animations, and visualizations. In this paper, we focus mainly on algorithm visualizations, especially on the different models of data structures that can be effectively used in educational visualizations. First, we show how a vector (one-dimensional array), a matrix (two-dimensional array), a singly linked list, and a graph can be represented by various models. Next, we also demonstrate some examples of interactive educational algorithm animations for teaching and learning elementary algorithms and some sorting algorithms, e.g., swapping two variables, summing elements of the array, mirroring the array, searching the minimum or maximum of the array, searching the index of minimum or maximum of the array, sorting elements of the array using simple exchange sort, bubblesort, insertion sort, minsort, maxsort, quicksort, or mergesort. Finally, in the last part of the paper, we summarize our experiences in teaching algorithmization and computer programming using algorithm animations and visualizations and draw some conclusions.

Ladislav végh

This research was carried out at SDS Harapan Jakarta. This research aims to unravel the implementation of character education’s values through thematic subject, specifically on Indonesian Language Content. This research uses qualitative descriptive approach to gather research data deeply and thoroughly regarding character education’s value. Data collection was done using interviews, observation, and documentation. Miles and Huberman method was used to analyze data collected with the process of data collection, condensation, data display, and data verification. Triangulation was used to verify the validity of the data. The result of this study revealed that 1) The implementation of character education values in the content of Indonesian Language learning in Class 3 is implemented through reading and writing activities that prioritize the five main values in education according to the Minister of Education and Culture. 2) There are still less-effective efforts to achieve learning objectives. 3) There is still a lack of learning innovations carried out to achieve learning goals. 4) No lesson plans that are not made routinely as a means of evaluating learning. 5) There is still a need for improvement in the application of character education in Indonesian content that is linked to students' real experiences, both through online and offline learning.

Educare: journal of primary education

Abstract- The injection of the PV Grid power into an electric grid affects the power quality. The influence of the PV Grid in the grid system concerning the power quality measurements and the norms followed according to the guidelines specified in the International Electro technical Commission standard, are the active and reactive power variations, variation of voltages, flicker, harmonics and electrical behavior of switching operations. The work study demonstrates has overall good functional characteristics, better performance and faster response than existing systems. The proposed system of having STATCOM is smaller in size and less costly when compared to the existing system. In this proposed system static compensator (STATCOM) is connected at a point with a battery energy storage system to reduce the power quality issues. The effectiveness of the proposed scheme gives the reactive power demand of load and the induction generator. Simulation is done by using MATLAB / SIMULINK-Sim power system software.

Deepak patel

Inflammation is said to be a healthy component of the body immune system's reaction. Inflammation is characterised by four key symptoms: pain, redness, heat or warmth and swelling. As secondary metabolites, plants may produce a wide range of phytochemical compounds, which possess anti-inflammatory characteristics. Herbal remedies are important therapies for a wide range of ailments all over the world. There are around 7 500 species of medicinal plants, including representatives from over 17 000 flowering plant species. Even when synthetic chemistry has developed out their expectations, the use of natural ingredients in the manufacture of drugs used in contemporary medicine is unparalleled. By interfering with the biology of inflammation, anti-inflammatory medications may assist to minimise tissue damaging and increase patient’s comfort. Because of the bulky figure of species reachable for study, the effective development of novel naturally taking place anti-inflammatory drugs is mostly dependent on a multidisciplinary approach to discovering new chemicals. Despite the statistic that many review papers have been produced in this field, the conventional of them simply examined the issue from an area perspective. Several non-steroidal anti-inflammatory drugs have been shown to reduce inflammation and pain by decreasing the isoform of the cyclooxygenase enzyme's digestion of arachidonic acid, hence lowering prostaglandin production. Non-steroidal anti-inflammatory drugs have a host of harmful effects. There are, however, medicinal herbs with anti-inflammatory pharmacological properties that have few or no negative effects.

Mediterranean journal of pharmacy and pharmaceutical sciences

The COVID-19 pandemic and related lock downs have accelerated the need for online and remote teaching within university settings. However, due to the abrupt nature of the pandemic, many academic staff were not prepared for this forced transition. This study aimed to understand how the pandemic affected academics at a New Zealand university, with regards to their transition to emergency remote teaching. Specifically, it explores the challenges as well as benefits academics experienced during this transition. Recommendations for future online learning are also made. Academic staff (N 67) at a New Zealand University completed an anonymous online survey. Quantitative data were analyzed statistically using descriptive and inferential statistics, while qualitative data were analyzed thematically. Major challenges experienced included miscommunication from the university, concerns about student access to technology, finding a quiet space to work, lack of digital competence skills, too much screen-time, managing work hours, and work/ life balance. Benefits included enhanced flexibility, enhanced teacher creativity, increasing autonomy of learners, and reduced commute time. Looking forward, academic staff desired future teaching to include blended learning and virtual immersion. New strategies of working remotely are being explored to facilitate teaching and learning while catering to the preferences and skills of both educators and students. Our findings honor the considerable agility of academic staff who sought to sustain and enhance excellence in remote education. At an institutional level our findings point to the need for staff to be supported by their institutions as they further refine their work within new-found spaces

Gwen erlam

Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require caution, and even the smallest error in diagnosis can have negative repercussions. Medical errors in brain tumor diagnosis are common and frequently result in higher patient mortality rates. Magnetic resonance imaging (MRI) is widely used for tumor evaluation and detection. However, MRI generates large amounts of data, making manual segmentation difficult and laborious work, limiting the use of accurate measurements in clinical practice. As a result, automated and dependable segmentation methods are required. Automatic segmentation and early detection of brain tumors are difficult tasks in computer vision due to their high spatial and structural variability. Therefore, early diagnosis or detection and treatment are critical. Various traditional Machine learning (ML) techniques have been used to detect various types of brain tumors. The main issue with these models is that the features were manually extracted. To address the aforementioned insightful issues, this paper presents a hybrid deep transfer learning (GN-AlexNet) model of BT tri-classification (pituitary, meningioma, and glioma). The proposed model combines GoogleNet architecture with the AlexNet model by removing the five layers of GoogleNet and adding ten layers of the AlexNet model, which extracts features and classifies them automatically. On the same CE-MRI dataset, the proposed model was compared to transfer learning techniques (VGG-16, AlexNet, SqeezNet, ResNet, and MobileNet-V2) and ML/DL. The proposed model outperformed the current methods in terms of accuracy and sensitivity (accuracy of 99.51% and sensitivity of 98.90%).

Mehdhar s. a. m. al-gaashani

Natural products have played an essential role in treating human diseases for thousands of years. According to WHO, 80% of the world’s population relies on traditional medicines to cure and prevent ailments. Numerous plants have been reported to have antitussive activity. Our present study aimed to evaluate the antitussive effect of aerial parts of ethanolic extract of Caesalpinia pulcherrima (Caesalpiniaceae) at 200 and 400 mg/kg doses in healthy albino rats. Caesalpinia pulcherrima is an ornamental plant, usually 3.7-4.3 m in height, known as Peacock flower and is used traditionally to treat cough, bronchitis and asthma. Cough significantly affects human health and is the most common reason to visit physicians. Cough may be produced due to disease, allergens, pollutants and respiratory infections. Any mechanical or inflammatory change provokes the afferent or sensory nerves in the larynx and tracheobronchial, resulting in a cough. In this study, cough was induced by using the sulphur dioxide induction method. Animals were divided into four groups of 7 animals each, and all the drugs were administered orally. Group I was a control group, while group II was a standard taking Prospane. The extract showed highly significant results at 200 and 400 mg/kg doses compared to the control. So, it proves and supports the traditional use of Caesalpinia pulcherrima to relieve cough.

Dr. salman ahmed

Background:- Tribals are weaker section which holds in outstanding number of tribal population in our country. They are not having proper knowledge on osteoporosis. Osteoporosis is a significant problem in aging population especially in females, it impacts structural and social burden on health care services in tribals. Objective:- Aim of this study is to determine the knowledge regarding osteoporosis among tribal premenopausal women in tribal area of Guntur Dist. Andhra Pradesh Methods:- This study is descriptive quantitative study conducted among 177 Sugali women & 23 Chenchu women of tribal area in Guntur Dist. Andhra Pradesh from 2015 November to December 2015. A self-administered questionnaire was used to assess the knowledge on osteoporosis by conducting Pre-Tests on this group of people. After Educational Intervention was given with the help of self-instructional module and also conducted a Post Test on these same Group of people Results:- The mean age was 40 to 50 years. Majority of the participants are 177 (100%) Sugali women and 23 Chenchu women in these 177 in which n.150 (84%) women are having poor knowledge and remaining 27 (16%) women have average knowledge. In Chenchu women 20 (86%) women were having poor knowledge and remaining 3 (14%) women have average knowledge on all five aspects of questions regarding Osteoporosis, Menopause, Diet, Exercises and Preventive Methods. After Educational Intervention was given their knowledge was improved by a fraction on Osteoporosis. In the Post-Test 101 (57%) women gained average knowledge but remaining 76 (43%) women remained with poor knowledge among Sugali Women. Out of 23 (100%) women of Chenchu tribe 7 (30%) women got average knowledge and the remaining 16 (70%) women remained with poor Knowledge on Osteoporosis Conclusion:- Although majority of participants had low level of knowledge on Osteoporosis in all aspects regarding Menopause, Diet, Exercises and Preventive methods of Osteoporosis. They perceived a little knowledge on Osteoporosis in all aspects towards preventing Osteoporosis. Comparitively Sugali women are having better knowledge than Chenchu women in all aspects of Osteoporosis. Key words:- Osteoporosis, Knowledge, Effect, Pre-Menopausal, Tribal Women.

Mangeswari k

Along with computer technology, the demand of digital image processing is too high and it is used massively in every sector like organization, business, medical etc. Image segmentation enables us to analyze any given image in order to extract information from the image. There are numerous algorithm and techniques have been industrialized in the field of image segmentation. Segmentation has become one of the prominent tasks in machine vision. Machine vision enables the machine to vision the real world problems like human does and also act accordingly to solve the problem so it is utmost important to come up with the techniques that can be applied for the image segmentations. Invention of modern segmentation methods like instance, semantic and panoptic segmentation have advances the concept of machine vision. This paper focuses on the various methods of image segmentation along with its advantages and disadvantages.

Manoj kumar pandey

The kidney contains mineral deposits in various phases of calcium salts, such as calcium oxalate and calcium phosphate. Calcium hydrogen phosphate dihydrate (CaHPO4.2H2O) / brushite is a stable form of calcium phosphate, which exists in the form of kidney and bladder stones. The study aimed to explore the possible morphological features of brushite crystals. The study was carried out on a glass slide under a microscope to observe the growth patterns of these crystals. For this purpose, a drop of gel medium (sodium meta silicate solution + 1M orthophosphoric acid solution) at pH 4.99-5.09 was placed in the middle of a glass slide and converted into a gel. A 1M calcium chloride drop was added to form the gel adequately. The glass slide was observed under a microscope till it was completely dried. Calcium hydrogen phosphate dihydrate was formed as elementary needles, needle clusters, an assemblage of needles with platy crystals, plates with spatial branches, radiating assemblage of platy crystals, star shape crystals and tetragonal bipyramidal. The Current study provides brushite crystallisation phases on glass slides for the first time. It may also be used as a model to evaluate prophylactic management against renal stones through in vitro assessment of crystal growth and aggregation inhibition and modulation of developing or developed crystals by using different natural products. However, it was a preliminary study with no quantitative or statistical analysis.

Dr. salman ahmed