Analysis of the Negative Impacts of Coffee Husk on the Local Environment

In a locality wherever intense low process is completed while not appropriate waste management measures, low effluents area unit the principal reason behind organic pollution. Low husk contains caffeine, tannins, and chlorogenic acid, creating it a dangerous exposed husk. The low method has been delivery environmental issues to the environment thanks to the discharge of pollution with a large quantity of organic waste. the target of this work is to research the negative impacts of low husk on the atmosphere to scale back environmental pollution in step with the planet Health Organization, one among the foremost vital problems that enterprises confront as they look for ways to limit their use of the artifact by changing it into value-add products/applications is that the harmful impact of low husk on the atmosphere (WHO).The significance of the experiment is to form low husk as an alternate resource to switch fiber. Methylene chloride liquid-liquid extraction was developed to avoid caffeine, tannin, and CGA spectral overlapping within the three hundred -700 nm wavelength vary. The results indicated increment deadly materials that have an effect on the atmosphere. From the experiment performed low husk are often used as an alternate resource for getting composites for might applications and solve the environmental issues.

Yield, quality, antioxidants and elemental composition of peanut as affected by plant density and harvest time

With the perspective of reintroducing peanut cultivation in southern Italy about six decades after its dismissal, research was carried out with the aim to identify the best performing farming management in terms of yield and quality. In this respect, the effect of the factorial combination between four plant densities (6.1, 7.8, 10.3, and 12.1 plants m-2) and two harvest times (100 and 110 days after planting) was assessed on pod and seed yield, as well as on seed quality, antioxidant activity, and elemental composition. The later harvest time determined a 26.9% dry weight increase, but a 14.3% decrease in the number of seeds per pod. Plant density significantly influenced all the yield and growth indices except for mean seed weight. Yield and growth of each plant were best affected by the lowest plant density, whereas the opposite trend was recorded for the same parameters referred to the surface area unit. The density of 12.1 plants m-2 resulted in a 32% reduction in pods per plant compared to 6.1 plants m-2, but had the greatest effect on seed production per m-2. The leaf area index was the highest with the density of 12.1 plants m-2. The total dry weight increased by 1.7-fold from 6.1 to 12.1 plants m-2. Compared to the first harvest time, in the second one the protein content decreased by 6.8%, and total polyphenols and antioxidant activity decreased by 11.2% and 7.6%, respectively. The second harvest time led to a depletion of N, P, and Mg, by 6.8%, 6.2%, and 6.8%, respectively, and a 7.1% Ca increase. The reintroduction of peanut cultivation in southern Italy is a realistic goal, though further studies regarding the crop system management are needed.

Monitoring of Tourist Resources in Ruse and its Surroundings

Tourist resources, considered in a specific area unit, are a prerequisite for illustrating the result of geological and geographical factors. The theoretical foundations of the landscape are laid in the development, reduced to regional planning and development of the available natural and anthropogenic tourist resources. When the reader understands the significance of the study, the monitoring of tourist resources will take him to the land named "Little Vienna" - Ruse and its surroundings. The author's paradigm presents selected and suitable for advertising natural and anthropogenic tourist resources, on which to emphasize their wealth and importance for the country.

Therapeutic Role of Element Anhydrase Inhibitors in Treatment of Glaucoma: A Review

Eye disease may be a cluster of inveterately progressive disorders of the nervus opticus. during this article, I gift the medicine, Pathophysiology, risk factors, ophthalmic examination, and therapeutic role of carbonaceous anhydrase inhibitors in treating eye disease. In European countries, the prevalence of eye disease is a pair of.93% among persons aged 40-80 years, reaching ten you tired of persons over ninety years old-time. There is a unit many differing types of eye disease, and that they are classically divided into classes of open-angle and closed-angle eye disease. Use of topical selective or nonselective beta-blockers is used in the treatment of eye diseases. Second-line drugs of alternative embody alpha – agonists and topical carbonaceous anhydrase inhibitors. Parasympathomimetics drugs, most ordinarily alkaloid, area unit thought-about third-line treatment. For patients, the United Nations agency doesn't reply to antiglaucoma remedy, optical laser incisional and trabeculoplasty surgery area unit more ways that may be accustomed lower the pressure. The inhibitors area unit used medication in the treatment of symptom coronary failure, brain disease, and hypoxia conjointly. A Corollary of Friedenwald's construct of hydrogen carbonate secretion within the formation of liquid body substance is that inhibition of the protein carbonaceous anhydrase could be expected to decrease the speed of secretion and lower IOP. The carbonaceous anhydrase matter, Diamox (acetazolamide) is employed in the treatment of eye disease. Preliminary trials of Diamox in rabbits created a definite lowering of pressure to once ten to one hundred mg. carbonaceous anhydrase inhibitors diminish ocular high blood pressure in glaucomatous patients by reducing the hydrogen carbonate formation.

A Wide Survey on Data Mining Approach for Crop Diseases Detection and Prevention

India is agriculture land and major revenue manufacturing sector. However, because of amendment in temporal parameters and uncertainty in climate directly have an effect on quality and amount of the assembly and maintenance of crops. Also, quality even a lot of degrade once the crops area unit infected by any malady. The main focus of this analysis in agriculture is to increment the crop quality and potency at lower price and gain profit as result of in India the majority of the population depends on agriculture. Big selection of fruits is growing up in India such as apple, banana, guava, grape, mango, pomegranate, orange is the main one. Fruit production gives around 20% of the country’s development. However, because of absence of maintenance, inappropriate development of fruits and manual investigation there has been scale back in generate the standard of fruits.So, Data Mining Approach used in the agriculture domain to resolve several agricultural issues of classification or prediction. During this paper complete survey of several data mining approach for crop disease management has been done. Detection of disease in early state will improve in quality of crop still as decrease the production cost. Also, we can improve the production of the particular crop. Several major parameters are used for the crop disease classification or prediction.

Aspect Based Sentiment Analysis for E-Commerce Shopping Website

Sentiment Analysis is that the most ordinarily used approach to research knowledge that is within the form of text and to identify sentiment content from the text. Opinion Mining is another name for sentiment analysis. a good vary of text data is getting generated within the form of suggestions, feedback, tweets, and comments. E-Commerce portals area unit generating tons of data. Every day within the form of customer reviews. Analyzing E-Commerce data can facilitate on-line retailers to grasp customer expectations, offer an improved searching expertise, and to extend sales. Sentiment Analysis can be used to identify positive, negative, and neutral information from the customer reviews. Researchers have developed a lot of techniques in Sentiment Analysis. Keywords: Sentiment analysis, Sentiment classification, Feature selection, Emotion detection, Customer Reviews;

Adoption of Blockchain Based Smart Application in Machine Learning

In recent years, the emergence of blockchain technology (BT) has become a novel, most disruptive, and trending technology. The redistributed database in BT emphasizes data security and privacy. Also, the consensus mechanism makes positive that data is secured and bonafide. Still, it raises new security issues like majority attacks and double-spending. To handle the said problems, data analytics is required on blockchain-based secure knowledge. Analytics on these data raises the importance of arising technology Machine Learning (ML). ml involves the rational quantity of data to create precise selections. data reliability and its sharing are terribly crucial in ml to enhance the accuracy of results. the combination of those two technologies (ML and BT) provide give highly precise results. in this paper, present gift a detailed study on ml adoption we BTbased present applications additional resilient against attacks. There area unit varied ancient ML techniques, for example, Support Vector Machines (SVM), clustering, bagging, and Deep Learning (DL) algorithms like Convolutional Neural Network (CNN) and Long STM (LSTM) are often used to analyze the attacks on a blockchain-based network. Further, we tend to embody however each the technologies are often applied in many sensible applications like unmanned Aerial Vehicle (UAV), sensible Grid (SG), healthcare, and sensible cities. Then, future analysis problems and challenges are explored. At last, a case study is presented with a conclusion. Keywords: Blockchain, machine learning, smart grid, data security and privacy, data analytics, smart applications.

DETECTION OF FACE MASK USING DEEP LEARNING

As we know, the COVID-19 pandemic additionally referred to as the coronavirus pandemic, is an ongoing pandemic of coronavirus sickness since 2019. This infectious disease was first detected in Wuhan, China in late 2019. Symptoms of COVID-19 are highly variable, ranging from none to severe health problem. The virus spreads chiefly through the air when individuals are close to one another. It transmits from an infected individual through the droplets as they breathe, cough, sneeze or speak and these droplets then enters another individual via their mouth, nose, or eyes. It might also spread via contaminated surfaces. Individuals stay infectious for up to 2 weeks and can spread the virus albeit they do not have symptoms. As of 1st November 2021, more than 200 million cases are confirmed, with more than 500 million deaths due to COVID-19. The pandemic has been the reason for global social and economic disruption, including the largest global recession since the Great Depression. The recommended preventive measures include social distancing, carrying a mask publicly, ventilation and air-filtering, hand washing, covering one‟s mouth when sneezing or coughing and self-isolation for individuals exposed. In present endeavour therefore, the author has attempted to make one thing associated with it, that's deciding whether a dividual is carrying a mask or not. The complete investigations area unit distributed in various chapters that embody the current thesis. The performance of our model will be evaluated in precision, accuracy, recall, specificity, and sensitivity that demonstrate the practical application of this model. The system performs with an accuracy of 99.88%, precision of 99.49%, sensitivity of 99.77%, and specificity of 99.6. Thus, this model tracks if people are using masks or not in real-time using a device camera. This model can be used with the current camera infrastructure to enable this tool which can be used in various public places such as markets or railway stations or offices etc. Keywords: Covid-19, Face Mask Detection, Convolutional Neural Network, MobileNetV2, Precaution.

Effect of Cytokinin Levels on Some Varieties of Wheat on Yield, Growth and Yield Components

An experiment was conducted throughout winter 2020-2021 in the experimental field of the Department of Field Crops, Tikrit University to investigate the effect of spraying cytokinin on the growth and yield of wheat bread Triticum aestivum L varieties. Randomized Complete Block Design (RCBD) was used with a split-plot system and three replications. Cytokinin concentrations were 0, 100, 200 that were sprayed on two dates; during the branching stage (ZGS: 22); during the al-Battan stage (ZGS:40). Ten varieties were used included Al-Rasheed, Ibaa 99, Sham 6, Baghdad, Bohouth 22, Adana 99, Bora Italian, Sulaymaniyah 2, Al Fayyad and Al Wafiya. Nnumber of days from planting to 50% of spikes, leaf area of the flag, grain yield and biological, and protein percentage and wet gluten percentage were measured. The ten-wheat cultivars showed a significant difference in growth, yield, and quality. The Fayyad was the earliest than the other cultivars by the number of days from emergence to 50% spikes, 104.33 days, and the highest of the number of spikes per area unit, 569.22 spikes. m-2. Rashid cultivar showed the highest average of flag leaf area, 67.22 cm2, and the highest average number of grains per spike,100.88 grains. Also, it gave the highest average of grain yield, 496.77 g. m-2. Sulaymaniyah 2 cultivar was the highest in the weight of 1000 grains, 51.38 g. Spraying 200 ml. L-1 cytokinin indicated a significant difference for the most of traits such as flag leaf area, 53.56 cm2, the number of grains in the 78.80 grains, biological yield 452.46 g. m-1, protein percentage, 15.02%.

Intensive fruit orchards cultivation

The main purpose of a High-intensity cultivation system is to maximize the yield crop per area unit through planting more trees, exploiting efficient use of different resources. There are different factors that affect high-intensity cultivation that include Land-cost, planting spaces, tree size, Rootstock, and Practice management. Meanwhile, the adoption of High-intensity cultivation to control canopy size, by using modern management practices is very crucial to get more yields in the early stages of the orchard besides simplicity in its management and increase the farmers’ net profit. In addition, High-density cultivation use in different fruit crops like olive, mango, orange, mandarin, Apple, and cherry. Numerous benefits of intensive fruit cultivation include increase fruit yield per unit area, improving use efficiency of natural resources e.g. soil, light, water, and nutrients, enhancing fruit quality, improving soil properties and rising levels of organic carbon and nutrients in plant tissues …etc. In addition, it is very effective in acid lime soil and achieves high income for the farmers.