Volume 9 | Issue 2

 Abstract

The chemical industries play a significant role in the global discussion of the reasons behind climate change and the opposite social impact. There is a need to understand as well as find ways to improve the sustainability aspects of the supply chain in the chemical industry. The chemical industry has experienced one of the worst economic storms in recent history. In their bid to go through an unprecedented long economic downturn and survive the new economic era, many chemical companies have turned to reorganizing their supply chains and renewing their operations. The organization uses methods and resources for this purpose.

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 Keywords

Supply chain management, sales, inventory.

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ABSTRACT. Sustainable Development Law that satisfies the needs of the present Scenario which helps to see a new life to the future generations and guaranteeing the balance between economic growths, care for the environment and social transformations. Sustainable Development is a process for meeting human development goals while sustaining the ability of natural systems to continue to provide the natural resources and ecosystem services upon which the economy and society depend. While the modern concept of sustainable development is derived most strongly from the 1987 Brundtland Report, it is rooted in earlier ideas about sustainable forest management and twentieth century environmental concerns. As the concept developed, it has shifted to focus more on economic development, social development and protection. Sustainable development is the organizing principle for sustaining finite resources necessary to provide for the needs of future generations of life on the planet. It is a process that envisions a desirable future state for human societies in which living conditions and resource-use continue to meet human needs without undermining the integrity and stability. As a part of a new Sustainable Development Strategy, the United Nations approved the 2030 Agenda, which contains the Sustainable Development Goals, A Welcome and warning action to protect the planet and guarantee the Global well-being of people. It is a comprehensive plan that outlines how we can abolish poverty and transform the world into a Peaceful, Sustainable Environment for all and creating new institutions and development programmes, strengthening the institutions run by the Good Governance of the various stake-holders.

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Keywords: Sustainable Development Law and Goals 2030, Implementing Transformative Agenda, Protection of Ecology and Environmental Pollution, Role played by the Indian Judiciary, Development Legislation, Constitution of India ,Good Governance, Accountability, Transparency Participation & Rule of Law, etc.

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dehumanization, women, punishment, protest, freedom.

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The aim of this paper is to examine the effect of some non-conventional additives on the properties of soil. In this paper, an attempt has been made to study the compaction and CBR characteristics tests of locally available soil mixing with different percentages (added individually and in combinations) of Silica Fume, Terrasil and Zycobond with a view to determine the optimum percentage. The current research shows the effective utilization of micro silica fume terrasil and zycobond in the improvement of sub grade characteristics of expansive soil. This paper deals with the review of some previous studies that are done to improve properties of weak soil by Micro silica, Terrasil and Zycobond.

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Soil Stabilization, Nano Silica Fume, Terrasil, Zycobond, CBR

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In this day & age, the consumption of mobile payment apps of people are rapidly changing. The introduction & quick adoption of Apps Regarding Cashback Offers On Payment Apps has completely changed the way we consume our payment apps. This generation who are the target demographic of this study, are the most sought-after customers for these payment apps as they are well versed with internet usage and have disposable income which can be spent on these transactions . This study focuses on the factors which affect Apps behavior Regarding Cashback Offers On Payment Apps the which will in turn help the mobile payment apps in acquiring customers if they chose to work on the most important factors. behavior of customers regarding cashback offers on payment apps has also changed dramatically, with most customers reporting increased usage. The study talks about several important factors which affect the Apps behavior Regarding Cashback Offers On Payment Apps In information systems, research on mobile payments is a flourishing field. An in-depth analysis of the literature shows that most studies often use current theoretical models of adoption and use of IT, but do not further broaden the research into other hypotheses that may provide new variables that are contextually important. Some contextual variables that are lacking in the current research are described.

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Mobile payments , Technology Usage , Technology Adoption , Cashback , Payment Apps

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The Gunny Sack, Colonialism, Postcolinialism, India Diaspora in East Africa, female body, Shamsi.

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Otherness, Disabled, Self, The Glass Menagerie

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This research paper attempts to have an ecological analysis on the relationship between the learning of language and the understanding of culture among Chinese college EFL learners. As an analytical research paper, it employs mainly three research methods including method of theoretical analysis, ecological analysis and comparative analysis to acquire a full understanding of the relationship between language and culture among Chinese college EFL learners from an ecological view. Through understanding the process from language learning to culture understanding, the author thus tries to show an ecological view of how the learning of language matters with the understanding of culture as well as the ecological significance reflected by the interaction between language learning and culture understanding among Chinese college EFL learners. With the help of an ecological view, this research paper also makes efforts to show how language learning, which is deeply rooted by the ecology of a natural environment, a humanistic community, a country and even a nation, promotes the development of culture understanding. Thus it is fully analyzed and concluded that there is a very close relationship between language learning and culture understanding, which is also an inseparable relationship. Overall, this research paper also interprets that language is not just a tool or carrier of culture. In fact, language is not only a cultural phenomenon, but also a living fossil of history and culture of a country and a nation as well as a special and comprehensive cultural combination and aggregation. An ecological analysis from language learning to culture understanding among Chinese college EFL learners will definitely help to comprehend such a fact that, on the one hand, language plays an irreplaceable role in cultural construction, inheritance, and communication between different cultures; on the other hand, different cultural characteristics often lead to different language characteristics.

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Language Learning; Culture Understanding; Chinese College EFL Learners; An Ecological Analysis

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Arbitration, Domestic courts, legal Mechanisms, dispute resolution, Mediation

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MOS, Sio2, CMOS, SOI, CSA, GCA, FET.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Background: Today's Filipinas have made their legacy in each of their endeavors. (Convergys Corp., 2018). For years, Filipina women have been considered people who stayed at home, namely, homemakers or those who cannot do masculine jobs. Method: This study is a qualitative research design, in which the method used to gather the data is by interviewing the participants selected by the researchers. The type of qualitative research used is a phenomenological approach. It is related to the central question "How do Filipina leaders employed in a Qatar-based company adapt to their work environment?". In line with our title, "Women Empowerment: A Study of the lived experiences of Filipina Leaders in the State of Qatar," the researchers chose Filipina leaders who are currently working and are employed in Qatar as their target respondents for the study. The conducting of this research follows the IMRAD format and aims to be published and reproduced easily. The researchers deemed the target respondents sufficient and knowledgeable for this study. As students currently studying in Philippine School Doha, the researchers' research will be respectfully conducted in the host country, Qatar. Findings have revealed that Filipina leaders have encountered many challenges and have shown the advantages and disadvantages of being a Filipina leader as discussed through work parity, work conformity, work impartiality, and work proclivity. Conclusion: Women 's leadership is about continuing to implement changes that promote women 's advancement within their organizations and businesses, resolve implicit bias problems, and inspire women and men to create solutions.

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Leadership, Women Empowerment, Qatar-based Company, Workplace Discrimination, Lived Experiences, Phenomenological Approach

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Urban Politics refers to the diverse political structure that occurs in urban regions where there is diversity in caste, religion and socio-economic status of people. The present study includes the structure of politics of a geographic space and spatial variations in voter�s choice. Delhi is one of the fastest growing cities in the world, it offers vast economic opportunities, education and medical facilities etc, has thus created very strong attractive force pulling migrants not only from the immediate neighborhood but also from the far-off places in the country. The phenomenal growth rate of the city has creates many developmental issues. This study tells us how urban politics and urban development are interconnected. The political skyline in Delhi saw dramatic changes since 2013 assembly election when Aam Adami Party came out as a second largest party and after that in 2015 and recently in 2020 it won maximum 62 seats and all the old National Parties like INC and BJP failed to attract voters. The recent election of Delhi was the best example where in many constituencies people cast their votes without keeping in mind the history of political parties, caste and religion of candidates.

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Urban politics, Urbanization, Political parties, Voters, Constituencies.

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Melanoma is considered a fatal type of skin cancer. However, it is sometimes hard to distinguish it from Nevus due to their identical visual appearance and symptoms. The mortality rate because of this disease is higher than all other skin related consolidated malignancies. The number of cases is growing amongst young people but if it is diagnosed at its earlier stage then the survival rates become very high. The cost and time required for the doctors to diagnose all patients for Melanoma are very high. In this work, we propose an intelligent system to detect and distinguish Melanoma from Nevus by using state of the art image processing techniques. At first, Gaussian Filter is used for removing noise from the skin lesion of the acquired images followed by the use of fuzzy c-mean clustering to segment out the lesion. A distinctive hybrid super feature vector is formed by the extraction of textural and color features from the lesion. Support Vector Machine (SVM) is utilized for the classification of skin cancer into melanoma and nevus. Our aim is to test the effectiveness of the proposed segmentation technique, extract the most suitable features and compare the classification results with the kNN techniques present in the literature. The proposed methodology is tested on DERMIS dataset.

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Dermis dataset, Skin Cancer, kNN, SVM

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 Abstract

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The objective of this research is to develop a real-time system for hand gesture recognition that recognizes hand gestures, features of hands such as peak calculation and angle calculation, and then convert gesture images into text. To implement this system we use a sign language hand gesture dataset..The proposed system has four main modules such as preprocessing, segmentation, feature extraction, and classification. In the preprocessing module, the input image is converted into a grayscale image, noise removal, normalization, and rescale the image. After preprocessing, the image is segmented using an automatic threshold algorithm. Then the feature extraction is calculated using SIFT and SURF descriptors. The collected features are trained using an excel file. Finally, the input is classified using the SVM algorithm.

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SIFT, SURF

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Ozone dataset, Datamining Algorithms

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Bio-synthesis of nanoparticles is gaining huge importance, these days. Gold nanoparticles (GNPs) are widely used for various applications such as drug delivery, bioprobe, Imaging and drug targeting. Various sources such as plant extracts, fungi and microbes are used for the synthesis of GNPs. Algae are living in a sessile aquatic environment for its survival and it has certain bioactive compounds such as carbohydrates, aminoacids, proteins, fatty acids, flavonoids, antioxidants, saponins, etc. However, there are only limited studies for the synthesis of GNPs using algae. Hence, in this study, clinically potent GNPs were synthesized using fresh water green algae Charavulgaris. In the present study, the colour of the prepared solution changes from yellowish green to red wine indicates the synthesis of gold nanoparticles. In addition, UV-Vis spectrophotometer, SEM, XRD and FT-IR analysis was done for the analyses of gold nanoparticles. Furthermore, antibacterial study was done and it showed maximum sensitivity to the given bacterial species.

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Bio synthesis, gold nanoparticles, fresh water algae, Charavulgaris, anti-microbial study

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Detecting and classifying fetal brain abnormalities from magnetic resonance imaging (MRI) is important, as approximately 3 in 1000 women are pregnant with a fetal of abnormal brain. Early detection of fetal brain abnormalities using machine learning techniques can improve the quality of diagnosis and treatment planning. The literature has shown that most of the work made to classify brain abnormalities in a very early age is for preterm infants and neonates not fetuses. However, research papers that studied fetal brain MRI images have mapped these images with the neonates MRI images to classify an abnormal behaviour in newborns not fetal. In this work, a pipeline process is proposed for fetal brain classification (FBC) which uses machine learning techniques. The main contribution of this work is the classification of fetal brain abnormalities in early stage, before the fetal is born. The proposed algorithm is capable of detecting and classifying a variety of abnormalities from MRI images with a wide range of fetal gestational age (GA) (from 16 to 39 weeks) using a flexible and simple method with low computational cost. The novel proposed method consists of four phases; pre-processing, segmentation, feature extraction and classification. In the pre-process, the input image is converted into gray scale and apply the wiener filter for image enhancement. After pre-processing, the adaptive segmentation is applied for segmenting the image. Then DWT and statistical features are extracted from segmented images. Finally, the input image is classified using the Decision Tree algorithm.

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Fetal Brain Abnormalities, machine learning algorithms

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SVD, GLCM, certificate authentication

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Diabetes occurs when the pancreas fails to secrete enough insulin, slowly affecting the retina of the human eye. As it progresses, the vision of a patient starts deteriorating, leading to diabetic retinopathy. In this regard, retinal images are collected from DRIVE dataset images which are analyzing the consequences, nature, and status of the effect of diabetes on the eye. The objectives of this work are to (i) detect blood vessel, (ii) identify hemorrhages and (iii) classify different stages of diabetic retinopathy into normal or abnormal. The basis of the classification of different stages of diabetic retinopathy is the detection and quantification of blood vessels and hemorrhages present in the retinal image. Retinal vascular is segmented utilizing the contrast between the blood vessels and surrounding background. Hemorrhage candidates were detected using density analysis and bounding box techniques. Finally, classification of the different stages of eye disease was done using Random Forests technique based on the GLCM and LBP features of the blood vessels and hemorrhages. The proposed methodology for detection and grading of Diabetic Retinopathy is divided into following stages such as preprocessing, Optic Disc Removal, Blood Vessel Segmentation and Removal, Features Extraction and classification.

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Diabetic retinopathy detection, LBP, GLCM

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