Volume 9 | Issue 6

 Abstract

Kinnow is spring ripening, sweet juicy fruit with seeds, attractive upright growth habit. The fruit is medium and have more of a yellow or orange color .The fruit is fairly easy to peel, rich flavored, very juicy. The large, frost, tolerant columnar tree has dense foliage and is a good ornamental but has a strong tendency towards alternate bearing. Study was carried out on Kinnow mandarin to explore the effects of chemical coated with glycerin (2.5%),NaoH (2%),calcium lactate (3%),gum Arabic (10%),calcium chloride (1%),CMC (1%),with untreated fruits as a control on post-harvest shelf life of the fruit. The experiment was performed for 30 days in studying the physical and chemical parameters of the fruits and the readings were recorded at the intervals of 3 days. The obtained results showed that significant enhancement in fruit physical characteristics, as well as fruit chemical characteristics. Using gum Arabic (10%), CMC (1%) we are the best, which gave minimal damage and more shelf life to the mandarin fruit.

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Kinnow mandarin is the first generation hybrid of (King * Willow leaf) is the most common citrus fruit grown

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The concept of human inequality paved the way to the concept of social injustice and was ubiquitous throughout the world of antiquity. Islam, managed to succeed because Islam gives us a complete ideology in favor of human equality. According to Islam man is equal in creation and is originated from a single source. Those who belong to the various classes in society are not created by different gods. Islam demolishes all structures of social superiority by asserting common origin of all human beings. This is the essence of Islam which is called Tawhid. Tawhid implies the release of all human beings from servitude and yielding to anyone but God. Tawhid is tantamount to defiance of any power obscured under whatever colour or veil and an absolute submission to the absolute authority of God alone. The concept of Tawhid makes it clear that all of us have been raised from dust and we shall be reduced to dust. There is no difference among the particles of dust; hence why should there be any difference between somebody else and me. This consciousness undoubtedly gives man the greatest incentive to bring about social justice. The aim of this paper is to explain the concept of social justice in Islam and how Tawhid has direct bearing on social justice.

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Tawhid and Social Justice: An Islamic Perspective

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 Abstract

"JANPAD AZAMGARH MEN GRAMIN JANSANKHYA VRIDDHI EVAM VITARAN KE PRATIRUP KA BHAUGOLIC ADHYAYAN"

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"JANPAD AZAMGARH MEN GRAMIN JANSANKHYA VRIDDHI EVAM VITARAN KE PRATIRUP KA BHAUGOLIC ADHYAYAN"

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JANAPAD AAJAMGHAD ME JANSANKHYA VRDHI EAVM BHUMI UPYOG KE SANDRBH ME GRAMIN

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JANAPAD AAJAMGHAD ME JANSANKHYA VRDHI EAVM BHUMI UPYOG KE SANDRBH ME GRAMIN

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 Abstract

"VARTMAN PARIPREKSHYA MEN BARHATE VAYU PRADUSHAN KE KARAN EVAM ROKTHAM"

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"VARTMAN PARIPREKSHYA MEN BARHATE VAYU PRADUSHAN KE KARAN EVAM ROKTHAM"

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"JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN"

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"JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN"

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"GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH" (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN

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"GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH" (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN

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"BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)"

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"BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)"

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Face Mask Detection, Convolutional Neural Network(CNN), Datasets, Object Detection

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An experiment was conducted in 2016 cropping season to evaluate residual effect of legumes experimental treatments on maize crop yield at the fields that were used for soybean the previous year at the two agroecological zones (Sudan savanna and Guinea savanna). After clearing and land preparations, experimental plots were demarcated. Plots size was 4 by 4.5m. There were seven treatments replicated four times, each for soybean and groundnut. Maize grain yield showed no significant difference between treatments in terms of maize yield). Result from Sudan savanna soybean field revealed no significant difference between treatments in terms of maize yield (P = 0.123). As for harvest index, there is significant difference (P =0.023) between treatments. On contrast result obtained from Guinea savanna soybean field showed that significant difference exists between treatments. nitrogen treatment recorded highest yield (2175 kg ha-1). Result for major nutrients uptake in maize shoot showed no any significant difference between all the treatments observed in soybean fields at both Sudan savanna and Guinea savanna. From the finding of this study it can be concluded that. Result indicated that residual effect of leguminous crop treatments influenced yield performance of maize in Guinea savanna but no significant difference was observed in Sudan savanna.

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: Inoculants, soybean, maize crop, residual, cattle manure, legfume fix, alosca, sudan savanna, guinea savanna and nutrient uptake

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Nowadays shopping malls and Big Marts keep the track of their sales data of each and every individual item for predicting future demand of the customer and update the inventory management as well. These data stores basically contain a large number of customer data and individual item attributes in a data warehouse. Further, anomalies and frequent patterns are detected by mining the data store from the data warehouse. The resultant data can be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. In this paper, we propose a predictive model using XG boost Regressor technique for predicting the sales of a company like Big Mart and found that the model produces better performance as compared to existing models.

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XG Boost Regressor, Machine Learning, Data Set, Data Exploring, Data Cleaning, Feature Engineering, Building Model.

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The discharge of administrative discretionary powers needs for hearings, even before the administrative authorities. While hearing, the authorities are required to observe principles of natural justice in addition to the legislative mandates. Right to be heard forms a part of the package of principle of natural justice yet jeopardized in exceptional situations, which calls for the post-decisional hearing as a savior not to defunct the overall proceedings. The problem arises once the decision is taken and if the person at stake had already suffered due to the same. The courts had tried to strike a balance in this situation to cure the urgency of the decision-making right of the aggrieved to be heard before any detriment is caused to his interest.

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Post decision hearing, administrative discretion, natural justice

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Today mobile internet, social media and internet of things have a broader application predominance, that paved the way for the age of big data. Digitization has won prominent parts of people's way of life. Both people and government are more inquisitive about Smart City trends or Smart Companies to attain greater sustainability and better norm of living. This research is an endeavor to discuss those big data applications are highly beneficial for implementation of smart cities as they impart ample opportunities but even have multihued challenges and problems. Smart cities are well known for the human dynamics within which we are connected by devices called the Internet of Things. Big Data Analytics aids in decision making from both Smart City intelligence or smart business domain. This research article is about framework of big in smart cities or smart companies with a composite of urbanization and Computerization and furthermore discusses the requirements, challenges of how big data analysis is utilized for decision making.

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Big Data, Internet of Things, Smart City, Smart Company, Data Analytics, Emerging Technologies, Decision Making

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Leaf spots can be indicative of crop diseases, where leaf batches (spots) are usually examined and subjected to expert opinion. In our proposed system, we are going to develop an integrated image processing system to help automated inspection of these leaf batches and helps identify the disease type. Conventional Expert systems mainly those which used to diagnose the disease in agriculture domain depends only on textual input. Usually abnormalities for a given crop are manifested as symptoms on various plant parts. To enable an expert system to produce correct results, end user must be capable of mapping what they see in a form of abnormal symptoms to answer to questions asked by that expert system. This mapping may be inconsistent if a full understanding of the abnormalities does not exist. The proposed system consists of four stages; the first is the enhancement, which includes HIS transformation, histogram analysis, and intensity adjustment. The second stage is segmentation, which includes adaptation of fuzzy c-means algorithm. Feature extraction is the third stage, which deals with three features, namely color size and shape of spot. The fourth stage is classification, which comprises Leaf disease.

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 Keywords

Classifier, Feature extraction, Image processing, Leaf disease

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Water is very important and key elements of human life for drinking purposes as well as related to human daily need. Increasing demand of water caused the emerging science of dam engineering and also construction large dams for Irrigation purposes, drinking, industrial, flood control, power generation, recreational, fishery and tourisms etc. In India inland water bodies combined together, stretch over 45,000 km across the country, making India one of the richest fish germ-plasm in the world. However, the reallocation of water through dams has severely affected the ecosystem of these rivers, as the downstream flows are restricted and mangroves vanish. Large dams can remarkably effect on the environment as a non- stabilizing factor in nature in various stages of construction, operation and end of life by stopping the flow of the river and stored water on its up-steam site. However, if the environment cannot tolerate this instability, the results of the destruction of this structure will gradually rise and the objective of dam construction will be lost. In this paper, we will review the environmental impact of construction large dams on some rivers across the country and we will separately examine the use of several large dams as an important and effective option.

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 Keywords

Large Dams, River, Environment

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The emotional and mental state of a driver is very important for driving. There are many factors that affect the driving state of the driver such as fatigue , depression , sadness, nervousness , anger etc. which can cause many accidents. This paper presents an approach which is based on Convolution Neural Network (CNN) which helps in detecting the emotional and mental state of the driver. Due to which we can avoid many motor vehicle accidents. Afterwards, we noticed that the real-time emotion detection could be more effective, which continuously detects the emotional and mental state of the driver and send the alert message if driver is stressed, depressed, angry, fatigue etc.(negative emotions) which is dangerous and can cause accidents.

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Road Safety, Emotion Detection, Mental Health Detection, Accidents, Convolution Neural Network.

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 Abstract

Water is very important natural element of mankind for drinking as well as purposes related to human life and human need. Rivers are the primary source to meet water demand for human needs as well as ecosystem function and structure. Flowing water in a river is one of the important determinants and primary driving forces that influence aquatic ecosystems and the health of the river. Increasing demand of water caused the construction large dams for agricultural purposes, drinking, industrial, flood mitigation, hydropower generation, recreational, fishery and tourist etc. Large dams can remarkably effect on the environment as a non- stabilizing factor in nature in various stages of construction, operation and end of life by stopping the flow of the river and stored water. If the environment destruction or damage will gradually rise and the objective of dam construction will be lost. In this paper, we will review the environmental impact of construction large dams on some rivers in the India and we will suggest some ways to deal with these effects and finally we will separately examine the use of several small dams instead of big dams as an important and effective option.

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 Keywords

Dams, Impact, Control measures, river, catchment and ecosystem.

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SHIKSHA, MULADHIKAR, ADHINIYAM ,ANIVARYA SHIKSHA,NI:SHULK SHIKSHA, SHIKSHA KA ADHIKAR ADHINIYAM

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diabetes, prevalence, adults, incidence

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Concrete is the most commonly used construction material. Customarily, concrete is produced by using Ordinary Portland Cement as a binder a highly energy intensive product which causes pollution to the environment due to the emission of carbon dioxide. Attempts to reduce the use of Portland cement in concrete are receiving much attention due to the environment related. Geopolymer concrete is a new material that does not need the presence of Portland cement as a binder. Research in the field and publications in this field of geopolymer binders, states that this new material is highly potential to replace an alternative to Portland cement. The Durability of these materials is better than OPC which is the main advantage as such it can be replaced. Considering the increasing demand for developing alternative construction materials, due to the growing environmental concerns, this paper discusses the feasibility of alkali activated geo-polymer concrete, as a future construction material. The main objective of this study involves observation of strength behaviours of the fresh fly ash-based and ggbs geo-polymer concrete, understanding the basic mixture proportioning of fly ash-based geopolymer concrete and evaluating various economic considerations

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 Keywords

Alkali-Activated Concrete, Ordinary Portland cement, Geopolymer concrete, alkaline activator, Fly-ash/slag

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Creative Commons Attribution 4.0 and The Open Definition