Biopesticide formulations, possibility of application and future trends

Biopesticides are the formulated form of active ingredients based on microorganisms such as bacteria, viruses, fungi, nematodes or naturally-occurring substances, including plant extracts and semiochemicals (e.g. insect pheromones). Application of biopesticides is still limited to only a few percent of all pesticides used for crop protection. There are many factors contributing to that situation, such as expensive production methods, poor storage stability, susceptibility to environmental conditions, efficacy problems, etc. Some of these problems can be overcome by formulation improvements. With many pressures on product performance formulation is becoming the most important area to enhance and extend the activity of biopesticides. In this paper we reviewed different types of biopesticides existing on the market and discussed possibilities for their application and current status. The expected future trends in formulation development of biopesticides are explained.

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Empirical review on determinants of potato and onion production technology packages adoption in Ethiopia

International Journal of Agricultural Science and Food Technology ◽

10.17352/2455-815x.000121 ◽

2021 ◽

pp. 285-291

Author(s):

Zenbaba Oliyad Sori

Keyword(s):

Technology Adoption ◽

Production Technology ◽

Smallholder Farmers ◽

Crop Protection ◽

Vegetable Production ◽

Production Methods ◽

Expected Outcome ◽

Different Types ◽

Production Techniques ◽

Socio Economic Factors

Vegetable production technology packages adoption is essential for intensifying its productivity thereby improve the income of smallholder farmers in Ethiopia. Analog to vegetable, production adoption of Potato and onion also play a great role in improving the daily livelihood of farmers. However, there are few studies on its technology adoption to encourage farmers to substitute their production methods by modern production techniques and maximize return from the sector. The objective of this review paper is to review determinant factors of vegetable technology package adoption in Ethiopia by using the finding of popular published empirical researches. The findings of the review identified that, adoption of potato and onion technologies in Ethiopia is low due to different constraints caused by demographic factors, socio-economic factors, institutional factors and technological factors. Similarly, different empirical researches which are reviewed by this 0review paper identified different types of potato and onion production technology packages like improved seed varieties, fertilizers, quality seed, irrigation services, crop protection methods, and storing house.As a result of the above combinations of vegetable production technology adoption factors, the expected outcome to be obtained from the sector is still poorly performed. By considering the importance of these potato and onion production technology packages, applying and implementing the procedures of adoption bring the decision to adopt technologies and improve the extent of it thereby sustain potato and onion production in Ethiopia.

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Current status and future trends in dental hygiene education

Journal of Dental Education ◽

10.1002/j.0022-0337.1991.55.3.tb02507.x ◽

1991 ◽

Vol 55 (3) ◽

pp. 204-208

Author(s):

SW Burke

Keyword(s):

Dental Hygiene ◽

Current Status ◽

Future Trends ◽

Dental Hygiene Education ◽

Hygiene Education

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Serodiagnosis of histoplasmosis, paracoccidioidomycosis and penicilliosis marneffei; current status and future trends

Medical Mycology ◽

10.1046/j.1365-280x.1998.00174.x ◽

1998 ◽

Vol 36 (6) ◽

pp. 351-364 ◽

Cited By ~ 2

Author(s):

A. J. HAMILTON

Keyword(s):

Current Status ◽

Future Trends ◽

Penicilliosis Marneffei

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Polymer-drug conjugates: current status and future trends

Frontiers in Bioscience ◽

10.2741/2882 ◽

2008 ◽

Vol 13 (13) ◽

pp. 2744 ◽

Cited By ~ 72

Author(s):

Francesca Greco

Keyword(s):

Current Status ◽

Future Trends ◽

Drug Conjugates ◽

Polymer Drug Conjugates

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Multiemployer Pension Plans: Current Status and Future Trends

SSRN Electronic Journal ◽

10.2139/ssrn.3122634 ◽

2017 ◽

Author(s):

Alicia H. Munnell ◽

Jean-Pierre Aubry ◽

Caroline Crawford

Keyword(s):

Pension Plans ◽

Current Status ◽

Future Trends

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NMR Assisted Antimicrobial Peptide Designing: Structure Based Modifications and Functional Correlation of a Designed Peptide VG16KRKP

Current Medicinal Chemistry ◽

10.2174/0929867326666190624090817 ◽

2020 ◽

Vol 27 (9) ◽

pp. 1387-1404 ◽

Cited By ~ 2

Author(s):

Karishma Biswas ◽

Humaira Ilyas ◽

Aritreyee Datta ◽

Anirban Bhunia

Keyword(s):

Antimicrobial Agents ◽

Biological Properties ◽

Structure Characterization ◽

Drug Resistant ◽

Functional Correlation ◽

Naturally Occurring ◽

High Resolution Nmr ◽

Different Types ◽

Reduced Activity ◽

Poor Stability

Antimicrobial Peptides (AMPs), within their realm incorporate a diverse group of structurally and functionally varied peptides, playing crucial roles in innate immunity. Over the last few decades, the field of AMP has seen a huge upsurge, mainly owing to the generation of the so-called drug resistant ‘superbugs’ as well as limitations associated with the existing antimicrobial agents. Due to their resilient biological properties, AMPs can very well form the sustainable alternative for nextgeneration therapeutic agents. Certain drawbacks associated with existing AMPs are, however, issues of major concern, circumventing which are imperative. These limitations mainly include proteolytic cleavage and hence poor stability inside the biological systems, reduced activity due to inadequate interaction with the microbial membrane, and ineffectiveness because of inappropriate delivery among others. In this context, the application of naturally occurring AMPs as an efficient prototype for generating various synthetic and designed counterparts has evolved as a new avenue in peptide-based therapy. Such designing approaches help to overcome the drawbacks of the parent AMPs while retaining the inherent activity. In this review, we summarize some of the basic NMR structure based approaches and techniques which aid in improving the activity of AMPs, using the example of a 16-residue dengue virus fusion protein derived peptide, VG16KRKP. Using first principle based designing technique and high resolution NMR-based structure characterization we validate different types of modifications of VG16KRKP, highlighting key motifs, which optimize its activity. The approaches and designing techniques presented can support our peers in their drug development work.

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Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813999200904164539 ◽

2020 ◽

Vol 13 ◽

Author(s):

Ritu Khandelwal ◽

Hemlata Goyal ◽

Rajveer Singh Shekhawat

Keyword(s):

Machine Learning ◽

Comparative Analysis ◽

Data Science ◽

Training Data ◽

Machine Learning Techniques ◽

Future Trends ◽

Data Set ◽

Learning Stage ◽

Learning Techniques ◽

Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

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