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Ginger (Zingiber officinale) is one of the most commonly consumed dietary condiments in the world. The main active phytochemicals present in ginger are gingerols, shogaols and paradols and they have strong antioxidant and chemopreventive properties. Many studies have proved that ginger has strong antioxidant, anti-genotoxic, anti-mutagenic and anti-carcinogenic properties both in vitro and in vivo studies. The aim of this study was planned to evaluate the free radical scavenging activity of iron nanoparticles using dried ginger extract. Ginger was peeled, washed, coarsely minced, air dried in a shady area and pulverized with a blender to a fine powder. 100 ml of distilled water was taken by a measuring cylinder and 1 g of dried ginger extract was added to it. Heat for 5 minutes up to 60-80° Celsius in the heating mantle. Then it is filtered through the whatman filter paper no.1. Then the final extract was stored in a container and kept it in the refrigerator for further analysis and iron nanoparticles were synthesized. Then the results showed that color changes in the reaction mixture was observed at various intervals of incubation time. The colour changed from yellow to reddish brown indicating the formation of iron nanoparticles. From this, it can be concluded that iron nanoparticles were initially identified by stable dark brown colour and the surface plasmon resonance was peak positioned at 380 nm. The findings of this study support the view that dried ginger zingiber officinale are promising sources of potential antioxidant and may be efficient in various pathologic conditions. [ABSTRACT FROM AUTHOR]

The quality of wines for compliance with standards is determined by only a few standardized physical and chemical indicators. Moreover, two of them (the minimum content of the extract and the maximum content of citric acid) were introduced relatively recently. As practice shows, these indicators are often not enough to obtain an objective conclusion on the authenticity of wines. At the same time, abroad, to assess the authenticity and quality of wines, controlled indicators are used, for which it is impossible to establish a single norm, but this can be done for certain wine groups specifically for certain regions of production. The paper conducted a phased approach to the search for criteria-based assessments for controlled indicators. Organoleptic analysis was carried out and the investigated wine products were classified according to quality criteria. Based on the data of organoleptic analysis of 154 wine samples, regardless of their type and category, they are conditionally divided into three groups: the first group is wine, the authenticity of which is beyond doubt, it includes samples that received from 8.1 to 9.9 points, the second group - wines of satisfactory quality, the authenticity of which requires confirmation, the wines of this group had a tasting rating from 7.4 to 8.8 (12 samples), the third group - wines of low or unsatisfactory quality, received a tasting rating from less than 7.0 to 8, 0 points (20 samples). Next, 54 wine samples produced in Russia were examined more thoroughly. The technological parameters of table wines were studied on the basis of which a criterion for assessing the quality of wine according to the extract components was proposed. [ABSTRACT FROM AUTHOR]

Improper nutrition is that the main issue inflicting varied diseases. In this paper we target on women's and their health problems due to their unhealthy food's intake. As a woman most of us are failed to take care of our health which may cause chronic disease. Many of us are not aware of our nutrient needs and do not know what exactly our body needs. Mostly women need special nutrients at each stage of their life for their wellbeing. Due to improper nutrition women goes through a lot of problems both physically and mentally. In this context we suggest a proper day to day nutrition that needed to be taken which will be a personalized food recommendation for them by using their physical data and their preferences and also their personal information. This helps them to require a correct diet and forestall themselves from chronic diseases. [ABSTRACT FROM AUTHOR]

This paper's aim is to recognize offline Hand written Malayalam character in different images using optical character recognition, OCR is achallenging technology and popular of pattern recognition.Using OCR in Malayalam language is more complex because the language contains with largest number of characters among all other Indian languages. In this paper we propose an enhanced approach of offline handwritten characters. The steps in the proposed works are Pre-processing, Segmentation. In pre-processing the method used Otsu, Sauvola and Hybrid method, which is applying dilation on sauvola method. In segmentation we use word level segmentation and character level segmentation. [ABSTRACT FROM AUTHOR]

Cloud computing is the process that provides essential computing materials over web. All types of resources are available on cloud in the form of metered service. Cloud computing helps an organisation to achieve their business goal with minimal effort as compared to traditional computing environment. It permits putting away the client's information on cloud and offers the support by cloud server. There is an abundant information put away at cloud storage server. Security of the data on cloud is the key concern for the user. It requires a high degree of integrity, authentication and confidentiality. This paper presented hybrid way of providing security to files whether they are exchanging or at rest. Cryptography is the best way to provide security to the data. In this paper, fusion of symmetric Blowfish and asymmetric ElGamal techniques are proposed to secure data. [ABSTRACT FROM AUTHOR]

This paper presents problems, challenges, and characteristics of successful organization and uses data for setting up guidelines for organizational development. The first phase of the paper presents the problems of organizations, such as conflict among Board members and poor decision-making. In addition, it presents the benefits of organizational development, such as optimization of operations, cost reduction, improved efficiency, exploration of market opportunities, improved operational quality, and creation of business relationships. Finally, this paper presents the characteristics of successful organizations, including change agent leadership, a more serious emphasis on working operations than on working papers, concern for customer satisfaction, management with team building and readiness to change, an emphasis on human capital and management with participation, obvious organization values and use of them to drive an organization, operation of an organization with a kind of expertise, good organization structure, flexibilities of management, and use of an outsourcing strategy for noncore business and of smart technology and communication. [ABSTRACT FROM AUTHOR]

The heart is very soft and sensitive part of body by which brain handles blood related system in body. The heart disease that greatly affects in body as like: pulmonary artery, atalata, enzaina and birth defects included. Heart disease is mainly related to contraction or blocked blood vessels in the heart. The symptoms of heart disease depend on the type of disease. Heart disease occurs not only in adults but also in children. The infection affecting the tissues is known as percarditis. In this, the tissues closest to the heart are affected. Infections affecting the lining of the heart muscle are known as myocardium. The study of medical datasets is made very intuitive by machine learning algorithms. The machine learning algorithms provide techniques to identify dataset attributes and the relationship between them. In this research work, we used heart disease related information from UCI repository. The dataset contained 1025 Instances with 14 attributes, sick and nonstick patients in target variable. In this paper, we proposed and analyzed classification accuracy, precision and sensitivity by four tree based classification algorithms: M5P, random Tree and Reduced Error Pruning with Random forest ensemble method. All the prediction based algorithms have applied after the features selection of heart patient's dataset. In this paper, we used three features based algorithms: Pearson Correlation, Recursive Features Elimination and Lasso Regularization. The data table analyzed by different feature selection methods for better prediction. All the analysis is done by three experimental setup; First experiment applied Pearson Correlation on M5P, random Tree, Reduced Error Pruning and Random forest ensemble method. In the second experiment we used Recursive Features Elimination and applied on above four tree based algorithms. In the third experiment we used Lasso Regularization and applied on as above tree based algorithms. After all the performance we analyzed and calculated classification accuracy, precision and sensitivity. With the results, we finally concluded that feature selection methods Pearson correlation and Lasso Regularization with random forest ensemble method provide better results 99% accuracy. We analyzed and find the random forest ensemble method predicted better result compare to other algorithms in the previous year's works. [ABSTRACT FROM AUTHOR]

Through this paper, an attempt has been made to examine the talent management practices and their significance, challenges faced in the process of talent management and measures initiated for talent management in service sector. To review the literature, a range of sources were searched on the topic and 83 research papers have been selected as sample, out of which 47 papers are from other countries i.e. international studies and 36 papers are from India i.e. national studies published during 2004-2020. It has been found that most of the research work has been done in India, UK and USA, and few other countries have also shown their interest in this stream. The results also show that all the sectors, whether it is banking, IT, insurance, pharmaceutical, or education, etc. are using talent management practices to get success in this global and technological era. Most commonly used talent management practices in service sector are planning, organizing, recruitment, selection and succession planning, training and development, performance management, career planning, engagement, attraction and retention, and individual differences. However, talent attraction, talent acquisition, talent evaluation, talent development, employee engagement, management of high performers and high potentials, setting of reward structure, lack of subordination, business ethics, etc. are the main challenges faced by the organizations in talent development. On the other hand, individual professional development, leadership development, team development, critical job identification, performance management, equitable and fair treatment, learning/training, succession planning, integrated human resources management systems, competency development, knowledge creation, building self-confidence, focus on managerial staff, etc. are the measures initiated for talent management in service sector. [ABSTRACT FROM AUTHOR]

The gift observe changed into executed to decide the sort and nature of bacterial contamination of Baghdad / Harthiya Paper currency notes (Dinar) in Circulation, 50 Paper forex notes of different Iraqi dinar organizations from unique locations of Baghdad and different professions. The outcomes of isolation and analysis confirmed the contamination of all samples with micro organism and via a hundred%. 48 bacterial isolates had been isolated from the 50 samples belonging to 10 one of a kind bacterial species, including: Staphylococci aurous, Bacillus spp, Citrobacterspp, Escherichia coli, Protusspp, Enterobacterspp, Klebsiellaspp, Psedomonasaeruginosa, Streptococcus, Salmonella spp.. All categories of the Iraqi dinar have been contaminated with Bacillus spp. Staphylococci, and the small dinar categories have been more polluted than the huge businesses. The consequences of the study of the sensitivity pattern of contaminated bacterial pathogens of the Iraqi paper for therapeutic antibiotics revealed resistance to a few antibiotics used inside the test in extraordinary proportions. [ABSTRACT FROM AUTHOR]

Human eyes, the most sensitive and vital organ of human body, comprise of various ocular barriers that makes it very challenging for the formulating scientist to develop and design ophthalmic dosage forms. There are several conventional ophthalmic dosage forms available in the market however; they possess some limitations such as rapid drainage, less bioavailability, low corneal permeation and non-targeted delivery which leads to ocular toxicity. Therefore, there is a need for novel ocular formulations that aim at delivering the ocular dosage forms to targeted ocular tissues to improve therapeutic drug level and prolong the duration of action of drugs into targeted tissue causing no adverse effects. The novel delivery systems delay the elimination of active ingredient from eyes and also improve corneal penetration of drug molecules. Novel ocular formulations have many advantages with a few demerits that need to be overcome. The fruitful results of the current researches based on novel ocular drug delivery system can pave the way for the substitution of conventional dosage forms with novel formulations in the field of ophthalmic drug delivery system in the coming years. In this paper, emphasis have been given to the various approaches of novel ocular drug delivery system comprising of liposomes, in-situ gels, nanoemulsion, niosomes and dendrimers which can be promising delivery system for ophthalmic dosage forms. This review paper also enumerates the findings of various experimental data regarding the novel ocular dosage forms [ABSTRACT FROM AUTHOR]

Background: Today, it has been proven that Quran therapy in the treatment of many mental illnesses, such as depression, estrus, anxiety, Alzheimer's, obsessive disorders, mental retardation, growth retardation, physical disability, mental disorders and etc significantly effective. This study aims to review the studies conducted on the effect of the Qur'an in the treatment of stress, depression, and anxiety caused by various conditions in Iran. Methods: The present study was carried out by 06- PRISMA guideline in various English and Persian databases, including PubMed, Google Scholar, Web of Science, Scopus, SID, IranMedex, Magiran, and IranDoc were searched for publications related to the effects of Holly Quran on anxiety and stress to identify all published articles that have so far been studied. Keywords included "Holy Quran", "stress", "depression", "anxiety", "Iran". Results: out of 18420 papers, 25 papers up to 2020, met the inclusion criteria for discussion in this systematic review. The most studies were clinical trials (14, 56.0%), followed by semi-experimental (7, 28.0%), experimental studies (3, 12.0%). Conclusion: The results of the present study showed that in various types studies, the Qur'an has been reported as an effective intervention for reducing stress and anxiety caused by diseases such as mental illness. However, it is suggested that the study of various aspects and details of the effect of the Holy Quran in different areas of education, care and treatment is required for future studies. [ABSTRACT FROM AUTHOR]

The use of medicinal plants in the treatment of different human ailments dates back many decades ago. Extensive bibliographic review was undertaken by analysing textbooks and peer reviewed papers. ScienceDirect, Scopus, Scielo, PubMed and Google Scholar searches were undertaken in compiling this review paper using terms such as "androgenic", "fertility" and "antifertility", properties of medicinal plants. Researchers are now investigating possible mechanisms involved in treating these ailments. In this paper, the focus was first on medicinal plants used to treat male reproductive conditions such as infertility, impotence, low libido and erectile dysfunction. Secondly, this review paper focused on the medicinal plants which have antifertility properties, which could be of significant importance in the development of a new contraceptive. This review outlines how medicinal plants and their extracts have been investigated in vivo and in vitro and the findings of those research studies. Most of the studies were performed using animals as experimental models and very few used humans as subjects. The findings in this review indicate that the presence of antioxidants in the plants help to counteract the cellular and tissue damage caused by reactive oxygen species (ROS). In addition, the presence of the saponins found in some plants is associated with the antifertility action. This information will be helpful to the society and health communities in developing relevant drugs to treat male infertility, and those medicinal plants that can be used to develop a possible new contraceptive drug. [ABSTRACT FROM AUTHOR]

Big data which means a large amount of data and artificial intelligence which develops through learning algorithms are becoming big topics in terms of security, and research on security techniques applying big data and artificial intelligence has been in progress. Since big data and artificial intelligence can predict results through learning of past data, they are being utilized as a solution to prevent attacks in advance through attack prediction. In this paper, we propose a framework for reinforcing system security through prediction of possible future attacks by collecting attackers' strategies and simulating them in a virtualized environment based on the attack strategies. [ABSTRACT FROM AUTHOR]

Nanoparticles fabrication is done by using Green synthesis because of its large applications in different field such as pharmaceutical, biomedical, food and agriculture engineering. In this paper pineapple peel extract is taken that contain alkaloids, flavonoids, saponins, steroid compounds, acts as reducing and stabilizing agents. In this paper AgNPs of pineapple peel were used to confirm their antimicrobial screening, because pineapple peel contains alkaloids, flavonoids, saponins, steroid biomolecules which helps in nanoparticle biosynthesis by playing the role of reducing and stabilizing agents. The characterization was completed by using the UV-visible spectrophotometer, FTIR and SEM techniques and the method optimization was done by varying the peel extract volume, silver nitrate concentrations, pH and temperature. Antimicrobial activity was evaluated by the Zone of inhibition method. The biosynthesized AgNPs produced significant antimicrobial activity against pathogenic Staphylococcus aureus, Enterococcus faecalis (a Gram-positive bacterium), Pseudomonas aeruginosa and Escherichia coli (a gram negative bacterium) and Aspergillus niger (plant pathogenic fungal strain), Candida albicans (human pathogenic fungal strain). Henceforward, this research can be acknowledged in future because silver nanoparticles of pineapple peel extract have potential significant antimicrobial activity. [ABSTRACT FROM AUTHOR]

The role of this paper is to evaluate the process of calculating the Maximal Matching in the Fractal Graph especially Von Koch Curve and Koch Snowflake. Here it analyzes the characteristics, construction, properties, nature, implementation, Iteration and uses of the famous Fractal Graph like Von Koch Curve and Koch Snowflake. Here to explain how the Fractal Graph can be constructed and implemented. By using Proof of Mathematical Induction methods, it evaluates the Maximal Matching Cardinality of Von Koch Curve and Koch Snowflake. Cardinality shows that the number of vertices selected for Maximal Matching. Also this paper shows that the value of cardinality remains the constant ratio for all Iteration of the Fractal Graph. It shows that the application of Maximal Matching cardinality value is useful for many areas like Construction Field, Designing of Computer Architecture field, Focus of Camera, Consumption of raw material in construction Sight and so on. [ABSTRACT FROM AUTHOR]

The role of this paper gives short notes about Konigsberg Bridge Problem. It is used to evaluate the process of calculating the Maximal Matching and Maximum Matching in the Graph of Konigsberg Bridge Problem. Here it analyzes the degree of the each vertex and the adjacency of the edges of the corresponding graph. It explains about the history of Konigsberg, the creation of Konigsberg Bridge Problem and the Euler Solution for Konigsberg Bridge Problem by the condition of traversable. Rules for traversable is also analyzed in this paper. It gives some idea to make the graph as traversable by the concept of Matching. It is used to find in which of the bridge is common used by the people at many times. [ABSTRACT FROM AUTHOR]

Accurate crop disease prediction and continuous monitoring is essential in agriculture to improve the crop yield. Internet of Things(IoT) are being used in developing decision support systems for traditional farming methods to optimize disease estimation and yield estimation. Traditionally, a large numbers of statistical and scientific models have been implemented to monitor and predict the crop yield estimation in the agriculture fields. However, most of these models are limited to small and fixed number of agriculture characteristics. Image processing and machine learning approaches are used to predict the disease on agricultural crops using IoT devices. As the size of the training images and features increases, these approaches are incorporate to find and analyze the crop yield in agriculture field. In this paper, we have studied and analyzed various agricultural crop monitoring approaches using IoT based image and machine learning techniques. IoT based image processing and machine learning approaches are necessary for the process of agricultural crop monitoring. Furthermore, we have also studied the advantages and limitations of these approaches on complex crop data. [ABSTRACT FROM AUTHOR]

This paper explores the latest proof of Norovirus infection danger from recreation water (Natural waterways and pool water) usage epidemiological research and comprehensive microbial evaluations. Review studies were also chosen from a PubMed database for papers written between 2005 and mid-2020. Epidemiological evidence has shown that natural water and pool water have comparatively high GI chance However, there is also no clear association of water quality with faecal predictor bacteria when analysed. This is especially true when non-point source pollution affects sites of research. The results from detailed microbial analyses confirm that the association between water quality (both natural water and pool water) and non-point source strands is not clear. The allocation of origins can be used as part of prospective epidemiological research by quantifying microbial source dissemination and related to efficient usage of methods for microbial source monitoring. [ABSTRACT FROM AUTHOR]

Microbial xylanases are enzymes produced by microorganisms to catalyze hydrolysis of xylan which itself is a hemicellulosic polysaccharide found abundantly in the plant cell wall. On the basis of their action microbial xylanases exist in two types i.e. endo-xylanases and exo-xylanases, each of them uniquely act on xylan to yield xylo-oligosaccharides or xylose. There are many sources of xylanases like microorganisms, plants, and animals but among them microorganisms has been of utmost importance and attention since the enzyme produced by them have greater stability to meet the demand of industry and economy. Bacteria and fungi are two major groups of microorganisms that are main sources for the production of enzyme. The xylanases can be produced by two main processes both through submerged and solid state fermentation and between two processes latter is more advantageous over the other as it is more economical and yield less effluent with high productivity and efficiency. The microbial xylanases has gained attention due to its application in industries and can be applied in various sectors such as pharmaceutical, food, chemical and paper industries. [ABSTRACT FROM AUTHOR]

Thanks to the ubiquitous influence of new age Information and Communication Technologies (ICT), the opening decades of 21st century have brought about a sea change in the pedagogical practices of language teachers across the world. One method, i.e., the blended model of instructional delivery is found to be more efficacious especially when engaging with the digitally savvy, post millennials. The method allows teachers to adopt the modern while retaining the best of traditional practices. Therefore, it's hardly surprising that the model has come to be seen as the most logical and natural way of learning, especially in the current context of COVID-19 lockdown. It is interesting, how teaching communities across India have started to adapt technologies at hand so quickly, to devise innovative learning solutions to meet the needs of their geographically dispersed learners. Notwithstanding the unforeseen global calamity, teachers and learners alike, have with immense enthusiasm, begun to make strategic use of technology for improving learning outcomes. The present paper discusses how reading skills of learners in the English classroom was found to have improved considerably when the appropriate context was set or some background details of the text was provided to the learners. The paper sheds light on the nature of difficulties encountered by learners while reading rather longish passages, and how by applying certain reading strategies they attempted to circumvent problems for completing the information mapping exercises based on these texts. The study was conducted by administering reading tasks both physically in the CAL Lab as well as virtually during the lockdown period. The result shows a 2.36% improvement when the blended learning method was adopted. [ABSTRACT FROM AUTHOR]

This paper explains the need of understanding of the current situation of covid-19 pandemic in terms student's point of view. The consent of this student's perception is procured by a survey of teachers and students parallel during this covid-19 pandemic. By doing this, the paper identifies the fundamental values, institutions and pre-assumptions that the academia should challenge and break through to advance and reset the research and practice frontiers. The paper continues by discussing the major impacts, behaviors and experiences that three major stakeholders (namely students, teachers, programs and policy makers) are experiencing during three COVID-19. This provides an overview of the type and scale of the COVID-19 student impacts and implications for research. [ABSTRACT FROM AUTHOR]

One of the most common diseases prevalent among women is Breast cancer. In general, Mammography is applied for the detection of the breast cancer, whereas, the technique of Mammography makes use of the ionizing radiation. As a result, this technique does not detect the breast cancer in women having dense breast. In the beginning phases of malignancy, radiologist could experience the challenges in identifying the lesions. Hence, there is a need for one more screen test for the confirmation of the cancer. On the other hand, Sonography is also commonly used for the detection and classification of abnormalities of the breast owing to its cost-effectiveness, comfort level of patient, and non-ionizing radiation. Nevertheless, ultrasound images seem to be low contrast images as well as the physician could encounter the possible challenges in the identification of the lesions. Therefore, there has been an inevitable requirement in the development of Computer Aided Diagnosis (CAD) system for the purpose of classifying breast lesion in an accurate manner. This paper aims at the analyzing the Morphological and Fractal features in an effective manner for differentiating benign as well as malignant masses from ultrasound images. [ABSTRACT FROM AUTHOR]

Ongoing Covid-19 pandemic has not discouraged lecturers from working on Tridharma. The same matter is the case with community service activity using online or virtual as a role model. From the problems of analyzing partner problems regarding school libraries, making virtual training in managing school libraries digitally is a preferred solution during the Corona outbreak. The usefulness response of the training was responded well by the respondents. The teachers, students, and library staff of the MA Nurussalam School Semarang were the respondents of this paper. The data obtained using questionnaires and interviews were analyzed using quantitative research method. The result of this research shows that this virtual training can provide a solution to upgrade knowledge during a pandemic by using technology in school libraries. In addition, the existence of virtual community service leads to confidence in using technology. Digitalization by implementing the SLiMS application provides convenience and time efficiency in managing school libraries. The existence of digital school library management also makes environmental sustainability, namely the reduced use of paper from trees. [ABSTRACT FROM AUTHOR]

Globally the cases of Covid-19 are making the world panic. Undoubtedly, all the countries are involved in management of COVID-19 whether it is a country with a population over a billion or less than a billion in numbers. India, with a population of 1,324,171,000 (according to 2016 Census). It can't act as the other nations are working. It is important to India to work on a strategy that shall manage the pandemic. The paper reveals on various surveillance strategies to be taken by the countries around the globe in covid-19 pandemic management. The strategies in control and management of Covid-19 are based on the spread of the pandemic in the country as well on the basis of density of population of the country affected by the pandemic. The paper recommends a density of population-based surveillance strategy can really help in the Covid-19 pandemic management. And also concludes taking into the consideration of the economics of countries, a different surveillance strategy will work for Governments in Covid-19 management. [ABSTRACT FROM AUTHOR]

The communication between patients and doctors is very common till the time the patient is in complete conscious state. But due to unfortunate incidences there may be a time when the patient gets into unconscious state known as disorders of consciousness (DOC) patients and are not able to communicate their feelings with their doctors. The restoration of communication is one of the prime objectives for DOC patients. In this paper review of several different methods to restore the communication with DOC patients have been discussed in detail. The advantages of using all these different methods and problems occurring due to their usage are explained. There are different methodologies for establishing communication with DOC patients and several challenges faced on their application. Both Electroencephalography (EEG) and Magnetic Resonance Imaging (MRI) signal have been used in different methods. In this paper, a complete discussion of these methods along with their challenges have been reviewed. [ABSTRACT FROM AUTHOR]

India is the second largest country in the population, with the population of 1,375,492,629 as on March 2020. Each and every citizen of India has the right to vote. Republic India is governed by the constitution of laws and every government is elected democratically by voting system conducted by election commission of India. The election commission of India has different types of voting systems such as secret ballet paper method and now Electronic voting machines (EVM's) and voter verified paper audit trail (VVPAT) voting machines. The current voting system EVM can be hacked easily. There is a lot of methods adopted to avoid malpractices. In this project, we have attempted to provide two step verification system for voting. It provides secured voting and avoids human intervention that results in smooth and secure conduction of elections. Our project adopts biometric fingerprint recognition and face recognition of the voter for authentication. In electronic voting machine, the first step of verification system can be easily accessed by the voter's fingerprint data present in this database. The second step of verification involves the face recognition of the voter by the data already present in the database using LabVIEW software. Once the two-tier verification is done, the voter can continue to the voting process and present his vote. The security of the system is further improved by adding GSM module to send message to the user mobile phone to confirm his voting. This prevent fake votes and ensure the perfect polling without any corruption. [ABSTRACT FROM AUTHOR]

In recent years conducting examination and answer sheet evaluation are hectic testing tools. it is very expensive by using hectic testing tools and also it is difficult to achieve resource allocation and time consuming to generate question and evaluate response manually. Manual evaluating of answer sheet takes time. In security base paper leakage is one of the other challenges to conquer. Fatal error may occur all the process is done in manually. The methodology used natural language toolkit NLTK to provide an inexpensive alternative to the current examination system. We implement model to automatically generate questions. It benefits to the society like colleges, schools and also for corporate world. [ABSTRACT FROM AUTHOR]

This paper tended to the utilization of Back Spread Neural Network for Classification of ECG waveforms utilizing discrete wavelet change. We have been chosen of MIT-BIH arrhythmia database and got 45 documents out of 48 documents of brief chronicle where 25 records are considered as would be expected class and 20 documents of anomalous in view of Maximum number of beats present in each record. Proposed technique used to order ECG signal information for strange class utilizing BPNN. The highlights are separate in to two classes that is DWT based highlights and morphological highlight of ECG signal which is a contribution to the classifier. Back Propagation Neural Network (BPNN) was utilized to order the ECG information and the framework execution is estimated based on rate precision. For the Strange example 100% of precision is come to while 96% of exactness was accomplished for typical ECG test. The by and large framework precision 97.8 % was acquired with the utilization of BPNN classifier. This paper handles with the clamor expulsion of ECG signal utilizing three distinctive wave families. The various noise structure (unscaled noise, scaled noise and nonwhite noise) are hand-picked for ECG signals and compared their statistical parameter to mapped out the simplest result. [ABSTRACT FROM AUTHOR]

There are seven clauses regarding Aceh's economic rights regulated in the Helsinki Agreement. Firstly, Aceh has the right to obtain funds through foreign loans and to set interest rates. Secondly, Aceh has the right to establish and collect taxes as well as to conduct trade and business internally and internationally. Third, Aceh will have authority over living natural resources in the territorial sea. Fourth, Aceh will have the right to control 70% of revenues from hydrocarbon reserves. Fifth, Aceh will conduct the development and management of all seaports and airports. Sixth, Aceh will enjoy free trade. Finally, seventh, Aceh will enjoy direct and unhindered access to foreign countries by sea and air. From all the above clauses, only part of it was adopted by Act No. 11/2006 regarding Aceh Administration. This condition demonstrates the exclusion of Aceh's economic rights, which were mandated by the 1945 Constitution. There are two issues addressed in this paper, i.e., the legal perspective of Aceh's economic rights as mandated in the Helsinki Agreement with regards to Act No. 11/2006 and the sociological viewpoint of Aceh's economic rights as mandated in the Helsinki Agreement with regards to Act No. 11/2006. The four approaches employed to review the Helsinki Agreement and the Aceh Administration Act in this paper are the legislative approach, the analytical approach, the philosophical approach, and the legal sociology approach. Firstly, based on a legal perspective, Aceh's economic rights in the Helsinki Agreement generated legal certainty and must be implemented by the central government because the Aceh Administration Act has partly adopted these rights. The economic rights are constitutional rights of the Acehnese people that must be fulfilled by the central government. Failure to fulfill these rights is a violation of the provisions in the 1945 Constitution. Secondly, based on the sociological perspective, the Aceh's economic rights in the Helsinki Agreement impact the people of Aceh as social institutions. Therefore, all economic rights should immediately be carried out by the authorities, including the central government, the Government of Aceh, and the Aceh Parliament as legal functionaries. [ABSTRACT FROM AUTHOR]

Covid-19 is a disease caused by virus named SARC CoV type II of Corona virus family and is announced as Pandemic disease by WHO in the month of March 2020. Virus is spreading at exponential rate and causing more than 1.3 lack death globally today. Covid-19 has been announced as one of the biggest threat to the mankind in last 100 years. Antiviral drugs and the vaccines are under clinical phases, to combat this outbreak, it is essential to maintained good health condition with boosted immune activity. Ashwagandha has been a medicinal plant under Ayurvedic studies for various therapeutic uses since ancient times of India. It has been regarded as the most important plant as every part of the plant can serve as a remedial/curative alternative. Despite the versatility of the plant, scanty research has been done to explore its potential in creating varied healthcare and value-added allied products used as immune system booster in situation similar to Covid 19 outbreak. There is a huge lacuna in literature dedicated to documenting the prospective applications of Ashwagandha healthcare products. This work is an attempt to compile current literature with an eye on the possibility of creating healthcare and value addition products based on this versatile medicinal plant. The paper provides a historical perspective on the evolution of and investigations carried out to explore the applications of Ashwagandha as a medicinal plant. It the wake of a sudden interest in herbal plants, this work will act as a primer for the herbal-based solutions in the areas of cancer treatment, neural disorders, immune boosters especial for Covid 19 cause of viral outbreak, stress-relief, and rejuvenation. It also finds applications as cardio-respiratory endurance enhancer, anti-ageing, antioxidant, hypoglycemic, hypocholesterolemic and as an effective adaptogen. To reach out to a wider audience the paper concludes with open research issues, challenges in using Ashwagandha as a medicinal plant in the current scenario. [ABSTRACT FROM AUTHOR]

Low adherence to medication is a primary reason for poor control of hypertension. Poor control of hypertension is a leading risk factor for death and disability. Non-adherence to medication occurs in more than 50% of adherence to medication of hypertensive in rural area. The aspect of medication adherence of hypertensive patients in rural area has not been thoroughly studied from the point of view of pharmacy practice. This review aims to provide an overview of the hypertensive patients' adherence to medication in rural areas. A literature search of Pubmed and Google Scholar for "medication", "adherence", "hypertension", "rural", "area" was undertaken. The papers on hypertensive patients in rural areas and published in a peer reviewed journals were included in this review. Sixteen articles were found to be eligible for review. Results showing high level of adherence (>50%) were reported only in five articles. The results of the reviewed studies suggest that medication adherence among hypertensive patients in rural area is low. From the viewpoint of pharmacy practice, the results warrant pharmacists to identify the barriers of the access to quality hypertension care service among rural communities. [ABSTRACT FROM AUTHOR]

This paper presents the situation and transformations of business owners in the deep south of Thailand, including data collected through online questionnaires and phone interviews, and it analyzes the data using descriptive and content analysis. The study found that more than 15 years of violence have caused difficult living situations among people and negatively affected economic activities. In addition, pluralistic societies have diminished, and many Chinese and Buddhist business owners have gone out of business or relocated from the deep south; however, many Chinese and Buddhist business owners still remain in the deep south and have adapted for survival. In addition, the study found that the number of Muslim business owners has increased and that they have more opportunities for economic activities compared to those years before 2004. [ABSTRACT FROM AUTHOR]

In this paper, we treated the four steps of analysis of the 2015 revised curriculum, development of the educational program operation plan, selection of target students, and analysis and evaluation of the results of the program application. The elementary school students were guided to freely express opinions using various tools such as pictures and speech balloon symbols for the robot application education and algorithm principle education of intelligent CCTV that captures faces from subjects using future artificial intelligence. In addition, we also proposed a future creative education program that can increase interests of learners by applying the rich picture technique so that learners can easily and variously express the robot algorithm of intelligent CCTV. The proposed creative education program can help learners to understand the principle of algorithm using a flowchart and, based on the results, research on creative education for IT principle which is applicable to various fields will be conducted through revision and development of the proposed program. [ABSTRACT FROM AUTHOR]

This work aims to analyse the paradigm shifts of corporate crime eradication in Indonesia and its obstacles. For that purpose, this paper offers Indonesian practices of corporate crime eradication, especially related to the Indonesia Anti-Corruption Act. In the end, this paper emphasises the importance of law enforcers' different approach in eradicating corporate crimes and optimising criminal law deterrence-especially related to corruption. [ABSTRACT FROM AUTHOR]

Export of goods of any country has greater relevance, especially in the wake of ongoing global trade wars which have spillover effects to other third world countries across the globe. India enjoys a competitive advantage in the biopharmaceutical space due to low costs, huge and varied patient pools, availability of many technologists, and 50 per cent less cost in conducting a clinical trial than that of developed economies. This paper has made an ardent attempt to critically evaluate seven factors, namely research & development expenses, net sales, net fixed assets, branding expenses, profit after tax, import of capital goods, and import of raw materials. The empirical findings of this paper indicate that R&D expenditure, net sales, net fixed assets, import of capital goods, and import of raw material are the main factors which are influencing the export of biopharmaceutical products. However, branding expenditure and profit after tax do not have any direct impact on the export of biopharmaceuticals products in India. [ABSTRACT FROM AUTHOR]

Marketing is the most commonly used way to raise brand share. Increasing campaign budget represents the inoperative guidelines for ethics, self-regulations and laws to govern the advertisement and the distribution of drugs. The need for well-defined regulations only grows for regulators, as mentioned above. I would only tell about abundance if I have been assured that international corporations are only operating to the detriment of a certain percentage of countries within the least-developed countries, regardless of their direct and constant expression in the pure mentality of industrials. The prevalence of diseases is not impaired and therefore the increased sales of pharmaceutical drugs that are not related to their particular application or requirements will rely in part on their use at least. Pharmaceutical and healthcare companies need digital market growth to succeed in this evolving digital world. The patient creates, certainly through open data views and real-time care, more tailored therapies. The goal of the paper is to demonstrate the promotion of pharmaceutical advertisers, questions about advertisement and their effect on the prescribing practises of the doctors. This paper addresses pharmaceutical marketing techniques, threats, current approaches and pharmaceutical digitization. [ABSTRACT FROM AUTHOR]

Chemical contamination of environment and food is currently one of the most serious problems of mankind. Nowadays, the number of pesticides used in agriculture is constantly growing. Rapid test methods are being actively developed that are characterized by high availability and sufficient levels of sensitivity and selectivity. This paper presents the method of creating a substrate for amperometric enzymatic biosensor for the determination of organochlorine pesticides in milk and milk products. [ABSTRACT FROM AUTHOR]

In the past decades, heart disease (HD) is an important reason for the increased mortality rate. It is a demanding problem to build powerful and reliable medical decision support systems (MDSS) to diminish the diagnosing time and enhancing the accuracy of diagnosis. Among the massive data, to explore the hidden patterns, data mining provides various approaches. From the medical data of patient, HD can be diagnosed using the data mining approaches. Various classification algorithms are built to diagnose the HD correctly. Classification rule mining is a significant job in the data mining development which is planned to search a tiny collection of rules out of the training data set. This paper reviews several classification algorithms based on evolutionary algorithms (EA) developed for the prediction of HD in various aspects. A detailed review is made based on the objectives, methodology used, advantages, performance measures used and so on. At the end of the paper, a comparative analysis is made based on different metrics. [ABSTRACT FROM AUTHOR]

Cross-border trade between Thailand and Malaysia makes up a large volume of the land import/export in Southeast Asia, and economic value has steadily increased up until the coronavirus disease (COVID-19) spread across the world. This paper presents the issues with and guidelines for the development of the Thai crossborder trade checkpoint between Thailand and Malaysia. In addition, it uses qualitative methods through indepth interviews and focus groups and analyzes data using descriptive and content analysis. In addition, the study found there are several problems with Thai's cross-border trade checkpoint, such as a lack of equipment for inspectors, the fact that officers are not given a job description, and the need to develop more infrastructure. The Thai government should prepare all facilities and provide training to gain more knowledge about relevant laws, and it should set up one government unit/department for cross-border trade management with management authority. [ABSTRACT FROM AUTHOR]

In this paper, two field experiments are implemented in two successive seasons of 2017 and 2018 in order to explore the effect of foliar application of IAA (indole-3-acetic acid) and weed control on potato traits. To do so, the related factors include two potato cultivars (Sante and Milva), foliar application of IAA in the rates of 0, 200, and 400 ppm, PRE application of metribuzin at 750 g ha-1, split application of metribuzin at 500 g ha-1 PRE, 250 g ha-1 POST application, hand weeding, and untreated control. This paper indicates that increasing IAA from 0 up to 400 ppm significantly increased potato tuber dry and fresh weight, tuber diameter, yield, shoot biomass, and HI as well as nitrogen, potassium, and phosphorus uptake. The application of IAA at 400 ppm significantly increased biomass of weeds at harvesting time. Weed control increased potato studied traits and the highest of them was recorded in split application of metribuzin with an increased ratio of 15% to 39% compared to the untreated control. A weed control reduced weed density and biomass by more than 50%. It could be concluded that using IAA at 400 ppm resulted in the enhancement of growth and productivity of potato when integrated with the split application of metribuzin. [ABSTRACT FROM AUTHOR]

Diabetic retinopathy (DR) is one sort of eye illness that is brought about by extra time diabetes. Bunches of patients around the globe experienced DR which may achieve visual deficiency. Early recognition of DR is an unbending mission that can remind the DR patients to look for comparing medicines as expected. In this paper, we explain DL classifier interpretation diabetic forretinopathy. it groups retina pictures into various degrees of seriousness with great execution. Then again, this classifier is capable of clarifying the order results by appointing a score for each point in the covered up and input spaces. These scores show the pixel commitment to the last characterization. [ABSTRACT FROM AUTHOR]

The initial symptom of ischemic stroke is characterized by the presence of beta fibrinogen gene polymorphism -455 G/A, which to relieve fibrinogen in the human body. Fibrinogen levels that are given must match the size of hemoglobin (Hb), hematocrit (Ht), leukocytes, blood sugar levels (KGD), cholesterol, high density Lipoprotein (HDL), low density Lipoprotein (LDL). So that in order to make it easier in making decisions, a classification is needed which is one of several data mining techniques. The classification commonly used in the medical field is the K-Nearest Neighbor (K-NN) algorithm. The classification carried out by K-NN passes through resistance training and testing then searches for the K value with Euclidean distance where the paper classifies patients with Polymorphism beta fibrinogen gene -455 G / A with 136 datasets divided into 100 for training data and 36 testing data. Then at the testing stage, the accuracy measurement was carried out with MAPE and got the result1, 025725%. The MAPE value is the error percentage value at the testing stage so that the classification process in the field of Medicine and Health is only a support in decision making, not absolute for decision making. [ABSTRACT FROM AUTHOR]

This paper aims at offering an overview of foams as new topical drug delivery vehicles that possess promising marketing potential and advantages as well as gaining positive patient compliance. The overview surveys medicated foams by defining their structure, and components (foaming agents, boosters, stabilizers, and reducers) that can be optimized upon actuation to enhance their skin penetration advantages and, consequently, their bioavailability. It also touches upon the main methods used in foam production (whipping, bubbling, and pressurization). Processes involved in determining foam stability - which is a vital property for its pharmaceutical application - are categorized. As a means of pharmaceutical delivery vehicle, the description covers dermal, otic, rectal, and vaginal foams. Specific delivery means include: dry foams, foam dressings, and DepoFoams. The paper is concluded by methods of evaluating foams macroscopically and microscopically. The implication of the study justifies encouraging further in-depth research work to explore medicated foams scope of potentiality. [ABSTRACT FROM AUTHOR]

Many of the people now a days are suffering with thyroid disorder. Hence, the earlier detection of thyroid becomes very important in medical field to cure the patient.The detection methods are based on pattern recognition, machine learning and data mining. Thyroid disorder was caused by the imbalanced state of thyroid hormones, and is of two types, they are over production (hyperthyroidism) and less production (hypothyroidism). In this paper we applied machine learning models on the hypothyroid dataset taken from the UCI data repository to partially fulfill the detection of thyroid disorder. The experimental results have shown that, the proposed model willgive the good results [ABSTRACT FROM AUTHOR]

Emulgels can be efficient tools of delivering drugs topically. Quite often cosmeceuticals and Pharmaceuticals can be formulated as emulgels for efficient delivery of hydrophobic drugs. Emulgels have dual characteristics of gels and emulsions. Components to be included in emulgels are oil phase surface active agents and drugs and gelling Agents. This paper provides a complete view on development of of email gels. Various components and examples also so has been discussed. Some marketed formulations also have been mentioned in the paper. [ABSTRACT FROM AUTHOR]

This study aims to determine the strategic action by the Gulf-Kazakhstan oil and gas industry in the midst of recession. Also, this paper highlights their operational achievements on the downtrend. Data about the strategic plans were taken from industry publications and were validated through survey and in-depth interviews with the General Managers as well as the Human Resource Managers. The respondents (n=30) were met and with a return rate of 94 percent from the 15 Gulf-Kazakhstan oil and gas industry. The top managers were interviewed, two in each organization, to affirm data on the downturn, and their impression of coping using the guide of strategic actions. This qualitative research paper utilized case study method. The major strategic themes are content analyzed out of the clusters of responses from the research instruments. The key findings in coping with recession are as follows: international talent management pool, communication tools, market competitiveness, and human resource enhancement. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease (COVID-19), recent pandemic initially reported in Wuhan, would be predicted to affect the mental health of frontline healthcare providers. So, there is an urge need to monitor their mood, sleep rate and other mental health problems to introduce the required mental health interventions when needed. Aim: Reviewing plus evaluating the literatures conducted on mental health problems among healthcare workers (HCW) during the COVID-19 crisis. Methods: A systematic research study of literature databases was performed till to June 1st, 2020. All studies published in the period (January 2020 to May 2020) that related to review analysis subject in these databases (PubMed, Google Scholar, Science Direct, and EBSCO host) were used to perform this review. Upon initial screening, a total of 35 papers were selected but 14 papers were used finally. Results: The meta-analysis of the fourteen studies that based on analysing many facets of HCW mental health concerning COVID-19 revealed the presence of an extensive strain among them due to stress experience, depression, anxiety and sleep disturbance symptoms. Extreme levels of these symptoms were observed in 2.2 % to 14.5% of all participants. Conclusion: As COVID-19 is a global public mental health emergency, every country has to learn from previous epidemics experience and urgently provide multifaceted psychological safeguarding of their healthcare providers' mental health to keep their effectiveness as indispensable resources. [ABSTRACT FROM AUTHOR]

This paper aims to elaborate the dynamics of the struggle "legal fatwa" with social reality. This article tries to give a picture or portrait of the existence of a "fatwa" in the midst of society with various pros and cons. The main studies that will be discussed through this paper are, first, the urgency of "religious fatwa" in the midst of society. Second, the phenomenon of "Fatwa" with various pros and cons which gives birth to progressiveness and 'regressivity'. Third, the potential for "fatwa" as a supporter of the NKRI and nationality frame. This paper does not pretend to assess the validity of "a fatwa" or any institution that issues a fatwa, therefore the approach used in this article is a social-historical approach, which attempts to examine the socio-political conditions surrounding the birth of a fatwa, and social implications or impacts in the form of public reaction to the "fatwa". Some points that become findings and answers of academic issues raised are, first, the existence of a fatwa is very urgent as an answer for Muslim communities who question the legal status of a problem in the midst of a process of socio-cultural transformation that continues to make the needs of Muslims of the 'legal status' of various issues. Second, the existence of fatwas in the community invites various social reactions. Fatwa 'can cause turmoil in the community if born from inadequate conditions. Fatwa that is born from the right process and thought will give birth to progressiveness in the form of productive social movements for the community, and vice versa, if the fatwa is born from various interventions it is not uncommon to cause regressive which actually makes it counterproductive to society. Third, the role of ulama as a symbol of religious authority in the arena of nationalism in Indonesia. Religious leaders have a very vital role to maintain the sovereignty of the Republic of Indonesia and strengthen the national spirit of the people, especially through their fatwas. [ABSTRACT FROM AUTHOR]

In this paper, the process of surface modification in the aqueous dispersions of hydrophobic organic carbon nanoparticles stabilized by series of vinylmethyl- and vinyl-i-butyl ethers block copolymers of various structure as well as octadecylvinyl ether and methylvinyl ether block copolymers with different molecular-weight characteristics was studied. The particle surface modification by the above polymers was achieved by conventional adsorption and by ultrasonic action. The effect of mechanical treatment of the particle dispersion by ultrasonic power alone or in combination with surface-active polymer was also investigated. The efficiency of the particle surface coating by the polymer was followed by contact angle measurements. Data obtained enabled to make some conclusions about parameters of polymer adsorption layers. [ABSTRACT FROM AUTHOR]

In this paper, the process of surface modification in the aqueous dispersions of hydrophilic inorganic particles of titanium dioxide and iron oxide stabilized by ethylhydroxyethylcellulose polymer was studied. The particle surface modification by the above polymer was achieved by conventional adsorption and by ultrasonic action. The effect of mechanical treatment of the particle dispersion by ultrasonic power alone or in combination with surface-active polymer was also investigated. The efficiency of the particle surface coating by the polymer was followed by the ESA method. Data obtained enabled to make some conclusions about parameters of polymer adsorption layers. [ABSTRACT FROM AUTHOR]