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Showing papers in "Journal of emerging technologies and innovative research in 2020"



Journal Article
TL;DR: In this paper, the authors proposed a system that automatically sense all the different parameters like temperature, humidity and soil moisture which will be helpful in monitoring agricultural activities, which can be performed using Wi-fi module (ESP-8266) connected to IOT server.
Abstract: In India about 70% of the total population depends upon farming and one-third of the nation’s capital comes from the farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is Smart agriculture. This project will automatically sense all the different parameters like temperature, humidity and soil moisture which will be helpful in monitoring agricultural activities. The data (i.e. temperature values, humidity and soil moisture) will be uploaded to the cloud server where we can monitor the activities occurring in the agriculture site. This can be performed using Wi-fi module (ESP-8266) connected to IOT server. GSM module is also connected to the micro-controller for receiving alert messages. Because of its energy autonomy and low cost, the system has the potential to be useful in water limited geographically isolated areas.

72 citations


Journal Article
TL;DR: The name ‘corona virus’ is derived from the Latin corona, meaning crown or halo, and refers to the characteristics appearance of virions under electron microscopy, creating an image reminiscent of royal crown or of the solar corona.
Abstract: Corona viruses causes common cold and infections caused by corona viruses are generally, self – resolving. The name ‘corona virus’ is derived from the Latin corona, meaning crown or halo, and refers to the characteristics appearance of virions under electron microscopy (E.M.) with a fringe of large, bulbous surface projections creating an image reminiscent of royal crown or of the solar corona. Coronaviruses are a group of enveloped viruses with non-segmented, single stranded and RNA genomes. Severe acute respiratory syndrome coronaviruses (SARS-Co V) are zoonotic and Middle East respiratory syndrome coronavirus (MERS-Co V). The virus embedded envelope protein and replication of the RNA genome proceeds through the generation of nested set of viral mRNA molecules. Replication of HCoV is regulated by a diversity of host factors and induces drastic alteration in cellular structure and physiology. It is predicted that proteins 3b and 6 were highly divergent from those proteins in all known SARS Co V. Coronavirus entry is mediated by the viral spike (S) glycoprotein.

55 citations


Journal Article
TL;DR: Four algorithm SVM, Logistic Regression, Random Forest and KNN which predict the breast cancer outcome have been compared in the paper using different datasets to predict the accuracy.
Abstract: Women are seriously threatened by breast cancer with high morbidity and mortality The lack of robust prognosis models results in difficulty for doctors to prepare a treatment plan that may prolong patient survival time Hence, the requirement of time is to develop the technique which gives minimum error to increase accuracy Four algorithm SVM, Logistic Regression, Random Forest and KNN which predict the breast cancer outcome have been compared in the paper using different datasets All experiments are executed within a simulation environment and conducted in JUPYTER platform Aim of research categorises in three domains First domain is prediction of cancer before diagnosis, second domain is prediction of diagnosis and treatment and third domain focuses on outcome during treatment The proposed work can be used to predict the outcome of different technique and suitable technique can be used depending upon requirement This research is carried out to predict the accuracy The future research can be carried out to predict the other different parameters and breast cancer research can be categorises on basis of other parameters

37 citations


Journal Article
TL;DR: Regular consumption of food containing probiotic microorganisms is recommended to establish a positive balance of the population of useful or beneficial microbes in the intestinal flora.
Abstract: Probiotic is a relatively new word meaning 'for life', which is used to name microorganisms that are associated with the beneficial effects for humans and animals. These microorganisms contribute to intestinal microbial balance and play a role in maintaining health. The probiotic microorganisms consist mostly of the strains of the genera Lactobacillus and Bifidobacterium, but strains of Bacillus, Pediococcus and some yeasts have also been found as suitable candidates. Together they play an important role in the protection of the organism against harmful microorganisms and also strengthen the host's immune system. Probiotics can be found in dairy and non-dairy products. They are usually consumed after the antibiotic therapy (for some illnesses), which destroys the microbial flora present in the digestive tract (both the useful and the targeted harmful microbes). Regular consumption of food containing probiotic microorganisms is recommended to establish a positive balance of the population of useful or beneficial microbes in the intestinal flora. The global market of probiotic ingredients, supplements and food was worth $14.9 billion in 2007 and it was expected to reach 15.9 billion in 2008, and 19.6 billion in 2013, representing a compound annual growth rate of 4.3 %. Extensive investigations of probiotics have been greatly enhanced by the research of new microbes for future probiotic bacteriotherapy applications.

27 citations


Journal Article
TL;DR: In this article, a comprehensive study has been carried out for comparing it with traditional manufacturing method for production of components, complex objects for hundreds of different applications, and some recent developments on 3D printing technology.
Abstract: In the world of developing technology, 3d printing has replaced the entire manufacturing firm/system with its improved version of building parts layer by layer using additive approach and new trends. In the present article, a comprehensive study has been carried out for comparing it with traditional manufacturing method for production of components, complex objects for hundreds of different applications. 3D printing technology is extremely versatile and rapid process, accelerate innovation and reduce energy usage, minimise material and compress supply chains. This paper also describes the feed mechanism and process related information, supporting material, software used in 3D printer and some recent developments on 3D printing technology.

25 citations


Journal Article
TL;DR: In this article, a case study of a government university in Saudi Arabia (King Abdulaziz university, Jeddah) is presented, where the university administered each of its faculty in the same way wthout any exception, however policies at the department level(s) were formulated locally.
Abstract: Corona pandemic (COVID-19) opened up new room for academic discussion in the pedagogic perspectives. It was so abrupt that many institutions were even not aware of the minor or major effect of the disease worldwide. The result was a complete standstill for a couple of days. On the other hand, institutions who have been utilizing blended learning techniques for regular education or distance learning mode gradually shifted to complete virtual classrooms. King Abdulaziz university (KAU), being the most high-tech institution in the entire Middle East/Gulf easily coped with the saddest time for education in the recent history. This research is a case study of a government university in Saudi Arabia (King Abdulaziz university, Jeddah). The university administered each of its faculty in the same way wthout any exception, however policies at the department level(s) were formulated locally. The data and observations used in the study were based on the teaching-learning practices occuring at the faculty of applied studies of KAU. It was found the e-learning/distance learning is very important s a tool of education, however, there are many challenges on the way to successful implementations of educational principles in order to attain pre-determined aims and objectives.It was concluded that distance learning is the only way we can continue education in the time of COVID-19 that has disrupted global education scenario. But, proper training for human resource and institutional preparedness is inevitable. It is recommended that an extended empirical and in -depth study be carried out for better inputs and interventions.

22 citations


Journal Article
TL;DR: The objective of this project is to extract feature from human face and detect emotion, and to play music according to the emotion detected, based on the facial expression captured and will music will be played automatically.
Abstract: Human emotion play a vital role in recent times.Emotion is based on human feelings which can be both expressed or not.Emotion expresses the human’s individual behaviour which can be in different forms.Extraction of the emotion states humans individual state of behaviour. The objective of this project is to extract feature from human face and detect emotion.and to play music according to the emotion detected. However, many existing techniques use previous data to suggest music and the other algorithms used are normally slow,usually they are less accurate and it even require additional hardware like EEG or physiological sensors. Facial expressions are captured a local capturing device or an inbuilt camera.Here we use algorithm for the recognition of the feature from the captured image. Thus,the proposed system is based on the facial expression captured and will music will be played automatically.

20 citations


Journal Article
TL;DR: In this paper, the authors tried to throw light on the impacts of the covid-19 pandemic on e-commerce business and found out that there is certain change in Demand and buying behavior of consumer all of a sudden.
Abstract: E-commerce is the most considered and preferred way of purchasing all sorts of products and services by the consumers all over world now days. Convenient yet reasonable with lot of variety to choose from all over the world at fingertips is the reason why E-commerce is growing by lips and bounds. But due to covid-19 pandemic E-commerce business are facing challenges of unexpected forms which never existed before. There is certain change in Demand and buying behavior of consumer all of a sudden. Lockdowns and restriction posed by the government in order to control covid-19 spread resulted into nightmare for E-commerce business. This paper tries to throw light on those impacts.

13 citations


Journal Article
TL;DR: The proposed 'deep learning credit card fraud detection method' is based on various machine learning algorithms and means that a number of options are available for unauthorized users / hackers to take advantage of the authors' account.
Abstract: Abstract: Now for a few days, digitalization has become more common due to the quick, simple and convenient use of ecommerce. People opt for e-shopping and online payment; ease of transportation, etc. As a result, fraud by credit card is on the rise every day. The identification of these frauds and the solution to prevent these frauds is very important. The proposed 'deep learning credit card fraud detection method' is based on various machine learning algorithms. Credit cards have now become very popular every day. As MasterCard is the most common online way to pay for any transaction online, frauds relating to the area unit are that, which means that a number of options are available for unauthorized users / hackers to take advantage of our account. Therefore, the information in your account may lose and customers may suffer from loss of money.

11 citations


Journal Article
TL;DR: An interactive smart mirror embedded with various features to make sure that every second is utilized properly and make it useful for the one using the mirror.
Abstract: The world is moving fast and we are constantly in need wanting for time and find the things that can be postponed or cancelled just because we don't get all the time we need throughout the day. There is a popular saying that "Every second counts", we considered this saying the best of letter and spirit. Every day we normally spend 10-20 minutes in front of the mirror in our day-to-day life. Thus, we planned out to make this time also more interactive and productive and make it useful for the one using the mirror. Nowadays in the field of technology, many innovations happen almost daily and things are also getting smart such as smart phones, smart televisions, smart watches, smart locks, some smart home devices such as Amazon Echo, Alexa and many more. Thus, we proposed the idea to make an interactive smart mirror embedded with various features to make sure that every second is utilized properly. This smart mirror will be acting like our digital assistant providing with our to-do-lists for the day giving us the remainder's for our appointments, meetings and will also help us to keep a track of upcoming events important days, will give us the news, also it will update us with news, weather forecast, the one having investment in the stock market can keep a continuous track of it, and also helps a person to get current affairs happening around the world. The smart mirror is implemented using peripherals such as raspberry pi, LED monitor covered with two-way acrylic sheets. The microcontroller which is a part of raspberry pi makes a connection with the internet and can retrieve data from the internet which helps us to display all the mentioned things.

Journal Article
TL;DR: The prominence of a medicinal plant Tinospora cordifolia in therapeutics such as use of crude extract of plant for the amelioration of various diseases, morphology, growth constraints, biochemical composition, and the future prospects of this important neglected plant species for research in the field of plant tissue culture, natural products and nanobiotechnology are described.
Abstract: Traditional systems of medicine such as Ayurvedic, Uninai, Siddha and Homeopathy have been in practice in a great account. Owing to population rise, inadequate supply of drugs, prohibitive cost of treatments, side effects of several allopathic drugs and development of resistance to currently used drugs for diseases have led to increased emphasis on the use of plant materials as a source of medicines for a wide variety of human ailments as witnessed by the use of folk medicines in the present scenario. This review article describes the prominence of a medicinal plant Tinospora cordifolia in therapeutics such as use of crude extract of plant for the amelioration of various diseases, morphology, growth constraints, biochemical composition, biological activities, research work done, projects sanctioned to this plant species and the future prospects of this important neglected plant species for research in the field of plant tissue culture, natural products and nano-biotechnology.

Journal Article
TL;DR: In this paper, the authors examine Residual mechanical and bond properties of concrete and steel after exposure to elevated temperatures, including analysis of different strengths on the concrete in different temperatures.
Abstract: The purpose of this is the examine Residual mechanical and bond properties of concrete and steel after exposure to elevated temperatures. This study includes analysis of different strengths on the concrete in different temperatures. The data was collected from current literature where workable values might be consistently interrelated with released compressive strength, yield strength, Bond slip, tensile strength, Flexural strength, ultimate strength, Analytical solutions. The findings of this study shows a complete inventory of concrete and steel exposure elevated temperature, respectively, which is claimed to be the difficult component of temperature evaluation under the different temperature in the engineering. Moreover, the collection of data from different papers provides deeper understanding of Residual mechanical and bond properties of concrete and steel after exposure to elevated temperatures. Insights for make buildings, and undergrounds finding out temperature due to different conditions are great importance for engineers and helping the engineers to acquire more knowledge about it. Approximations of the strengths should only be used for the purpose of measurements and design.

Journal Article
TL;DR: The potentized homoeopathic medicine Sanguinaria canadensis can be further studied for its application in severe viral respiratory illness like SARS Covid-2 as a stand-alone treatment or as an adjuvant treatment.
Abstract: Viral infections affect respiratory tract commonly, Most of the infections are mild and in some it would be severe with direct or indirect complications. Homoeopathic medicines are extensively used to treat influenza since long time. Several of those medicines have been possess anti-viral properties in ultra-diluted doses. Similarity in the pharmacodynamic properties and patient signs are the basis of Homoeopathic treatment. The curing property of these drugs is based on its disease causing property. Sanguinaria canadensis is one such important medicine used in Homoeopathy to treat influenza and its complications, both individually as well as in combination preparations. The signs and symptoms of most of the severe viral respiratory infections are similar to that of the drug proving observations on Sangunaria canadensis. The Sangunaraia respiratory symptoms are observed along with gastric and cardiac symptoms. The symptoms observed and recorded in Homoeopathic repertories are very similar to that of influenza like illness ranging from mild to severe respiratory illnesses. Secondary Metabolites action of Sangunaria canadensis displays antiviral activity impeding HIV protease. Protopine in addition to allocryptopine are more vigorous against Parainfluenza Virus-3. Sanguinarine is seen as the inhibitor of aminopeptidase A, dipeptidyl peptidase IV and aminopeptidase N. APN inhibitors could meddle in certain processes of the pathogenetic course of aggravation, tumor infiltration through the basal membrane and viral infection. Numerous plants produce Antiviral phyto-constituents which can target viral proteins, lipid envelope, and viral nucleic acids. DNAintercalating drugs curb DNA and RNA polymerases and protein biosynthesis, and diminish viral replication. Fundamental oils and polyphenols are dynamic against the free infection, the intercalators can likewise repress the viral replication inside the host cell. Among the intercalating PSMs, alkaloids of the isoquinoline, quinoline and β-carboline type give a few incredible antiviral mixes to model. sanguinarine, in Sanguinaria canadensis is a solid DNA intercalator with articulated cytotoxic, antibacterial and antiviral properties. Homoeopathic dynamizations of Sanguinaria Canadensis are safe and has been successfully used for viral respiratory pneumonia for long time. This medicine in homoeopathy potencies could have a potential for inhibiting viral replication and disease progression. Based on the clinical experience gained from the use of Sanguinaria on viral respiratory illness and the adjuvant facts noted above, the potentized homoeopathic medicine Sanguinaria canadensis can be further studied for its application in severe viral respiratory illness like SARS Covid-2 as a stand-alone treatment or as an adjuvant treatment.

Journal Article
TL;DR: In this paper, the authors discuss the importance of personal skills for teacher trainees and discuss the role of teachers as mediating factors between the students and the school system at large, and, it is essential that they maintain their social and emotional wellbeing.
Abstract: This paper aims to discuss the Importance of Interpersonal skills for Teacher Trainees. Teachers being a potent agent of influence in the development of a balanced personality of students, are highly influential in students’ behavioral outcome and educational experience. The various dimensions of Interpersonal skills subsequently have interrelatedness with teachers’ behavior that contribute heavily in the cognitive and the affective growth of learners. Interpersonal skills include a wide range of skills in two broad categories i.e. Effective Interpersonal Communication and Interpersonal Relationship that provide competency to a teacher to generate a congenial learning environment through effective interaction and establishing positive teacher-student and peer relationships. Teachers are mediating factors between the students and the school system at large, and, it is essential that they maintain their social and emotional wellbeing. Traditionally, teachers have never been trained enough to acquire and implement these competencies during their training. But because the Interpersonal interactions in classrooms are the building blocks of teacher-student relationships, the behavior of teachers and its adaptation to students lays the foundation for proficient and efficient educators. Key Terms: Interpersonal Skills, Teacher behavior, Learner Growth.

Journal Article
TL;DR: In this paper, the authors analyse the Porter's 5 forces model and compare it with various other frameworks that attempt to explain sustainable competitive advantage, and highlight the most significant merits and demerits of the model.
Abstract: The 5 forces of competitive advantage, as outlined by Porter, attempt to explain how firms can achieve Competitive Advantage in the industry they belong too. While this theory is certainly applicable to a fair degree, it is not free from its limitations. This paper critically analyses the Porter’s 5 forces model while also comparing it with various other frameworks that attempt to explain Sustainable Competitive Advantage. It goes on to show the progress of tools used by management theorists to understand the importance of (sustainable) competitive advantage. This is done with the help of models that comprise of both the industry-based view, such as Porter’s 5 forces, and the resource-based view, such as Barney’s VRIN framework. The progress this paper looks at also includes relatively more revolutionary views and perspectives from thinkers like Grundy and Recklies. The paper broadly covers the explanation of the five forces with a few examples, after a short introduction, prior to examining the advantages and disadvantages of the framework. Here the paper outlines various other frameworks that suggest means of overcoming a few of the limitations highlighted in Porter’s model. This includes the work of authors like Barney, Hamel & Prahalad, Teece et al., Penrose and various other esteemed management theorists. The paper finally concludes with the view on Porter’s framework highlighting the most significant merits and demerits.

Journal Article
TL;DR: An image processing method that has been initially developed for plant disease recognition is appropriately adapted for the detection of skin disorders and will give more accuracy and will generate results faster than the traditional method, making this application an efficient and dependable system for dermatological disease detection.
Abstract: Skin cancer is a widespread, global, and potentially deadly disease, which over the last three decades has afflicted more lives in the USA than all other forms of cancer combined. There have been a lot of promising recent works utilizing deep network architectures for developing automated skin lesion segmentation. Melanin is the pigment that discerns the color of human skin. The special cells produce melanin in the skin. If these cells are damaged or unhealthy, skin discoloration is visible. Skin pigment discoloration is a hazardous fact as a symptom of human skin disease with a possibility of losing natural beauty. The extracted information of the skin discoloration can work as a guide to diagnosis the disease. In this project, different imaging techniques like watershed method, edge detection and morphological operations are used to analyze and extract the information of discoloration lesion by measuring the pixel number of lesions on skin. In this paper, an image processing method that has been initially developed for plant disease recognition is appropriately adapted for the detection of skin disorders. The image analyzing results are visually examined by the skin specialist and are observed to be highly accurate. The visual results are presented in the description and the accuracy of mathematical analysis is 94.88 percent. This system will give more accuracy and will generate results faster than the traditional method, making this application an efficient and dependable system for dermatological disease detection. Furthermore, this can also be used as a reliable real time teaching tool for medical students in the dermatology stream.

Journal Article
TL;DR: A system which is developed to automatically detect an accident and alert the nearest hospitals and medical services about it and can also locate the place of the accident so that the medical services can be directed immediately towards it.
Abstract: Nowadays we are able to track vehicles using many applications which help in securing personal vehicles, public vehicles, feet units and others. Furthermore there is a rapid increase in the occurrence of the Road accident. This paper is about a system which is developed to automatically detect an accident and alert the nearest hospitals and medical services about it. This system can also locate the place of the accident so that the medical services can be directed immediately towards it. The goal of this paper is to build up a Vehicle accidental monitoring system using vibration sensor, GPS and GSM Technology. The system comprises of accelerometer, MCU, GPS & GSM Module support in sending message. The accelerometer is used to detect fall and Threshold value are used to detect accident. Short Message will contain GPS[Latitude, Longitude]which helps in locating the vehicles.

Journal Article
TL;DR: In this paper, a comparative study of effect of solvent and effect of substituents in the solute are studied on molecular interaction of the matter, and the data obtained during the study is used for determining most significant acoustic parameters like velocity (v), density (d), adiabatic compressibility (), apparent molar volume ( v), evident molar compressibility(k), etc.
Abstract: Ultrasonic velocity and density measurements of ligand 2-hydroxy substituted quinoxaline were carried out at different concentration in dioxane solvent. For investigating solute-solvent, solute-solute interactions at temperature 305.85 K. The data obtained during the study is used for determining most significant acoustic parameters like velocity (v), density (d), adiabatic compressibility (), apparent molar volume (v), apparent molar compressibility (k). The parameters explore solute-solute and solute-solvent interactions in different solvents. In this investigation, the comparative study of effect of solvent and effect of substituents in the solute are studied on molecular interaction of the matter.

Journal Article
TL;DR: The proposed system can easily identify and classify people with heart disease and plot bar graph for feature importance and is developed with Flask and integrated ML model in the application.
Abstract: Heart disease is one of the most significant causes of mortality in today’s world. As heart disease prediction is a complex task, there is a need to automate the prediction process to avoid risks associated with it and alert the patient well in advance. Machine learning has been shown to be effective assisting in making decisions and predictions from the large quantity of data produced by the health care industry. We used popular machine learning algorithms and classifiers performance evaluation metrics such as classification accuracy, correlation coefficient. In this proposed system we develop web application with Flask and integrated ML model in the application. The proposed system can easily identify and classify people with heart disease and plot bar graph for feature importance. Index Terms – Machine Learning, KNN algorithm,

Journal Article
TL;DR: In this paper, a standardization and HPTLCF fingerprinting of Habb-e-Muqil Jadeed Unani Compound formulation for the treatment of Kabz (Constipation) in Unani system of medicine is discussed.
Abstract: Standardization and evaluation of Unani formulations is very much essential to ascertain the quality of medicine. Unani medicines have played a significant role in maintaining the good health among the masses around the globe. Unani medicines are accepted as important therapeutic agents for treatment of various kinds of diseases, because of its harmonious nature with the human body. Habb-e-Muqil Jadeed a Unani Compound formulation is frequently prescribed for the treatment of Kabz (Constipation) in Unani system of medicine. In many instances, it has been noticed that due to adulterated raw herbs it is very difficult to find the genuine product in market place. The present communication deals with the proper authentification, identification, determination of physico-chemical constants, chromatographic profile, aflatoxin contamination, pesticide residue and heavy metal analysis of the formulation. The present standardization and HPTLC fingerprinting developing sets the standard for quality assurance of the formulation in the global marketing.

Journal Article
TL;DR: In this paper, the authors used RP-HPLCD for the determination of apremilast tablet dosage form the chromatographic s9999on was carried out UV 1700 detector, utilising C18 column (based on 99.999% ultra high purity silica ) 150 mm × 4.6 mm,5µm particle size, utilizing water methanol, triethylamine, at flow rate 1ml/min within injection vol. 20µl was selected for this study.
Abstract: RP-HPLC for the determination of apremilast tablet dosage form the chromatographic s9999on was carried out UV 1700 detector, utilising C18 column (based on 99.999% ultra high purity silica ) 150 mm ×4.6 mm ,5µm particle size, utilising water methanol, triethylamine, at flow rate 1ml/min within injection vol. 20µl was selected for this study. The sepreation was carried out at a room temperature and the eluentant werw observed by photodiode array detector set a 264nm. The retention time of apremilast obtained was at 3.9 min. thus the propose method for APR was found to be feasible for estimation of APR in pharmaceutical dosage form.

Journal Article
TL;DR: In this article, the authors proposed a system which gives accurate results for soil analysis by taking the pH value and converting it into Nitrogen (N), Phosphorus (P), Potassium (K) values from the soil.
Abstract: Agriculture highly depends upon climate, topography, Soil and biology. In which soil plays an important role. In India farming is done traditionally, farmers do farm traditionally without knowing quality and content of the soil. The existing method of soil testing is done by sending the soil sample to laboratories for testing and these testing is time consuming and costly even many time farmers have to travel long distance for soil testing. There are chance of incorrect report due to human error. To overcome this all things, we proposed a system which gives accurate results for soil analysis by taking the pH value and converting it into Nitrogen (N), Phosphorus (P), Potassium (K) values from the soil. We are using Data mining technique which focuses on large data sets to extract information for prediction of crops and we will also provide suitable fertilizers prediction required for the land with predicted fertilizers price.

Journal Article
TL;DR: Investigation covering a wider geographical area for a longer period of time will certainly bring out more information on the myrmicofauna of the North-eastern region of India.
Abstract: Abstract: India is rich in ant diversity, but recent studies are limited to certain pockets of the country. In Northeast India, the study of ant fauna is poor. The present study was carried out with an objective to explore the ant species present in the Bahona College campus of Jorhat, Assam. A total of 39 species of ants was recorded during the study representing 6 subfamilies. The subfamily Formicinae included 19 species, followed by Myrmicinae (10 species), Ponarinae (5 species), Dolichoderinae (3 species), Dolyrinae (one species) and Pseudomyrmecinae (one species). The genera Camponotus, Polyrhachis, Diacamma, Monomorium, etc were found dominant, whereas the other genera contained two or one species each. Five species of ants viz Camponotus irritans (Smith, 1857), Camponotus radiates Forel, 1892, Camponotus sericeus (Fabricius, 1798), Polyrhachis bicolor Smith, 1858 and Polyrhachis abdominalis Smith, 1858 are recorded for the first time from Assam. Investigation covering a wider geographical area for a longer period of time will certainly bring out more information on the myrmicofauna of the North-eastern region of India.

Journal Article
TL;DR: Various formulation method and technologies developed to achieve disintegration of tablets in the oral cavity are described, including ODT technologies based on lyophilisation, moulding, and sublimation, spray drying and direct compression.
Abstract: Drug delivery systems are becoming increasingly sophisticated as pharmaceutical scientists acquire a better understanding of the physicochemical and biochemical parameters pertinent to their performance. Over the past three decades, orally disintegrating tablets (ODTs) have gained considerable attention as a preferred alternative to conventional tablets and capsules due to better patient compliance. ODTs are solid dosage forms containing medicinal substances which disintegrate rapidly, usually in a matter of seconds, when placed on the tongue. The aim of this article is to review the development of ODTs, challenges in formulation, new ODT technologies and evaluation methodologies, suitability of drug candidates, and future prospects.

Journal Article
TL;DR: Pregnant women should use both emotion focused strategy and problem focused strategy, psychological measures like relaxation and stress relieving exercise for more effective coping in pregnancy, the study concludes.
Abstract: The study investigated the role of personality difference, coping strategy and stress symptomatology among pregnant women in Enugu metropolis. Two hundred and twenty pregnant women were selected from two hospitals in Enugu Metropolis. One hundred and ten participants were selected from each of these hospitals. Three instruments were used to collect data for the study namely: the brief cope scale, type A behavior scale and psychophysiological symptom checklist. It was a survey design study and Hierarchical multiple linear regressions with variance were used to analyze the data. The results of this study shows that coping strategy and personality difference was not significant predictor of stress symptoms among pregnant women respectively and there was a significant difference among participants on the basis of stage of pregnancy, women in their first trimester of pregnancy experienced higher stress than women in their mid/third trimester of pregnancy. The study concludes that pregnant women should use both emotion focused strategy and problem focused strategy, psychological measures like relaxation and stress relieving exercise for more effective coping in pregnancy. It is recommended that mental health care workers/Midwives should also sensitize pregnant women on some of the symptoms to expect at each stage of pregnancy as well as sensitize family members that pregnant women should help especially in attending to most domestic work at home.


Journal Article
TL;DR: In this article, the authors conducted a study to find out study habits and academic achievement of high school students in Lunglei District, which revealed that majority of the students have favorable study habits, and with respect to their academic achievement, majority secure third division and below.
Abstract: The present study is an attempt to find out study habits and academic achievement of high school students in Lunglei District. 228 students from Cl-X were randomly selected from 10 schools 5 government managed school and the other 5 from Private managed school. Findings show majority of the students have favourable study habits. However, with respect to their academic achievement, majority secure third division and below. It was also found that there is no significant difference in the study habit of male and female students, as well as between government and private high schools students. Findings also reveal that there is no significant relationship between study habit and academic achievement of high school students in Lunglei District.

Journal Article
TL;DR: Oral extended release drug delivery system becomes a very promising approach for those drugs that are given orally but having the shorter half-life and high dosing frequency.
Abstract: Recently, extended release pharmaceutical products become a very useful tool in medical practice, offering a wide range of actual and perceived advantages to the patients. Oral drug delivery is the most preferred route for the various drug molecules among all other routes of drug delivery, because easy of administration which lead to better patient compliance. So, oral extended release drug delivery system becomes a very promising approach for those drugs that are given orally but having the shorter half-life and high dosing frequency.

Journal Article
TL;DR: In this article, the authors present an assessment of knowledge capability and mindset of bank examiners in fraud risk assessment (FRA) within DMBs, which would result in overall reduction in the escalating occurrence of fraud and forgeries.
Abstract: Introduction of digital technology into the banking sector created opportunities for banks to prevent and detect various forms of frauds. To ensure this, deposit money banks (DMBs) employed various forms of electronic products and services to facilitate ethical banking. This study presents an assessment of knowledge capability (KC) and mindset of bank examiners in fraud risk assessment (FRA) within DMBs. The study examines regulators’ capacity for fraud prevention and detection within the Nigerian DMBs. This study deployed both primary and secondary sources for data collection. A total of 150 questionnaires were distributed out of which 120 were returned by targeted respondents (bank examiners) all employees of the Central bank of Nigeria (CBN), Nigerian Deposit Insurance Corporation (NDIC) and 10 DMBs. Out of the 120 questionnaires returned, 85 were retained for analysis after removal of outliers. Subsequently, the study employed IBM SPSS version 25 and PLS-SEM (Smart-PLS) software version 3 for data analysis. The results revealed significant positive relationship between bank examiners’ knowledge capability, mindset and (task performance) fraud risk assessment and by implication general reduction in the incidence of fraud and forgeries within DMBs. Consequently, the study contributes to enhancement of institutional and legal frameworks for banking examination, compliance and reporting. The empirical study would result in overall reduction in the escalating occurrence of fraud and forgeries within Nigerian DMBs. Researchers may explore interviews as primary source of data collection in addition to questionnaire administration and mix-methods, that is, qualitative and quantitative research methodology.