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Role of international commercial arbitration in resolving WTO disputes
International organizations flourished with the fragrance of effective interactions between parties and reconciliatory measures promoting amicable dispute settlement. In this scenario International Commercial Arbitration comes to the rescue of international organizations resolving multilateral, bilateral, and investment disputes between the parties, promoting sustainable development. The rationale of the article is to promote the parties towards a system of dispute redressal that is opposite to adversarial form of dispute resolution and thereby promoting an arbitration-friendly economy. Arbitration is not considered to be a preferable dispute resolution and the article provides for importance of arbitration in research gap in various research papers by using doctrinal research, analyzing articles and statutes, and providing an answer to the research question "How to promote sustainable development through International Commercial arbitration" and "How to promote arbitration-friendly environment. " This article discusses WTO dispute resolution board's novel approach to promoting arbitration. 2024 Srinesh Thakur, Anvita Electronics, 16-11-762, Vijetha Golden Empire, Hyderabad. -
Sustainable Development- Adopting a Balanced Approach between Development and Development Induced Changes
The emergence of globalization has raised serious concerns and promoted ever increasing dichotomy between development and climate change issues that are borne out of such trade development plans and strategies. The sustainable development goals embark on 17 broad categories that calls upon the nations to achieve them by 2030. In order to achieve these goals the need of the hour is to make a paradigm shift from traditional trade agreements and policies to such agreements that aim to prioritize the attainment of these goals. There has to be uniform environment laws to promote intergeneration and intra-generational equity among the nations and leaving no lacuna for geographical disparity. The Artificial Intelligence can play a pivotal role in achieving sustainability by cross fertilization of technology and sustainable development leading to smart states, effective utilization of resources, green investment policies, use of eff icacious renewable energy resources, analyzing agricultural needs and prior analyses of prospective disasters. The Electrochemical Society -
Enhancing Cybersecurity: Machine Learning Techniques for Phishing URL Detection
Phishing attacks exploit user vulnerabilities in cybersecurity awareness by tricking them to fake websites designed to steal confidential data. This study proposes a method for detecting phishing URLs using machine learning. The proposed method analyzes various URL characteristics, such as length, subdomain levels, and the presence of suspicious patterns, which are key indicators of phishing attempts. Gradient Boosting was selected due to its robustness in handling complex, non-linear relationships between features, making it particularly effective in distinguishing between legitimate and phishing URLs, by evaluating the Gradient Boosting classifier on a dataset with 10,000 entries and 50 features, the method achieves an accuracy of 99%.This approach has the potential to enhance web browsers with add-ons or middleware that alert users from potential phishing sites which will be based solely on URL. 2024 IEEE. -
Diaspora Experience Between the Creation and the Creator : A Closer Look at the Diaspora Connected Character in Anita Desai's 'Fasting, Feasting'
Quest International Multidisciplinary Research Journal, Vol-1 (2), pp. 83-86. ISSN-2278-4497 -
Exploring silenced subaltern voices of three-fold oppressed dalit women in Akkarmashi by Sharankumar Limbale : A postcolonial reading /
Roots International Journal Of Multidisciplinary Researches, Vol.2, Issue 3, pp.13-15, ISSN No: 2349-8684. -
Indias role in kazakhstans multi-vector foreign policy
?fter the disintegration of the Soviet Union, Kazakhstans economy was weak since most of the industrial en-terprises were located in Russia. To attain economic growth, Kazakhstan crafted a unique foreign policy known as the multi-vec-tor foreign policy, which facilitated an easy inflow of direct foreign investments into the state economy. After economic liberalization in 1991, India took a serious interest in Cen- tral Asia, and since then the two nations have come a long way marked by complex interde-pendence in the international arena. They have demonstrated a successful and sus-tained upward trend in their bilateral relationship through soft power, trade and long-standing historical connections. Thus, the prospects of mutual cooperation between Central Asia, particularly Kazakhstan, and India are quite promising in the near future. 2021, CA and C Press AB. All rights reserved. -
Precision Corn Price Prediction with Advanced ML Techniques
In the ever-evolving corn market, accurate price prediction is imperative for informed decision-making. This research introduces an innovative predictive model that integrates and external factors to enhance forecasting accuracy in the corn market. By exploring historical trends, comparing machine learning algorithms, and employing advanced feature selection methods, the study addresses the complexities of the corn market, emphasizing economic indicators, geopolitical events, and demand-supply dynamics. Informed by a literature review, the research underscores the necessity of dynamic models in corn price forecasting. Utilizing machine learning models such as linear regression, random forest, SVM, Adaboost, and ARIMA, coupled with the interpretability of SHAP values, the study aims to improve prediction accuracy in the corn market. With a robust methodology and comprehensive evaluation metrics (MAE, RMSE, MAPE), the research contributes valuable insights into corn market dynamics, providing a variable dictionary for clarity and emphasizing the strategic implications of the superior random forest model for stakeholders in the corn sector. 2024 IEEE. -
Intelligent Manufacturing Components, Challenges, and Opportunities
Intelligent Manufacturing shows transformative paradigms in the manufacturing industry; leveraging advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and robotics, to develop highly automated and adaptive production systems. This chapter outlines the Intelligent Manufacturing process, including its key principles, components, challenges, and opportunities. The combination of Machine Learning (ML) techniques and AI enables decision-making, real-time optimisation, and predictive analytics of manufacturing processes, productivity, and quality of products. Robotics and IoT devices play critical roles in enabling automation, data collection, and connectivity within Intelligent Manufacturing environments. Additionally, Digital Twin technology facilitates virtual simulation, modelling, and optimisation of production systems. While Intelligent Manufacturing offers significant benefits, it also presents challenges viz. high investments, integration complexity, and workforce reskilling requirements. Overcoming the challenges requires a holistic approach involving collaboration between industry stakeholders, government agencies, academia, and technology providers. Overall, Intelligent Manufacturing represents a promising future for the manufacturing industry, offering opportunities for innovation, competitiveness, and sustainable growth in a rapidly evolving global economy. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. -
Taxonomic revision and molecular phylogeny of flemingia subgenus rhynchosioides (Leguminosae)
A taxonomic revision of Flemingia subg. Rhynchosioides based on morphology and molecular information (matK and ITS) is presented. The subgenus comprises six herbaceous taxa (F. gracilis, F. mukerjeeana, F. nilgheriensis, F. rollae, F. tuberosa and F. vestita). All species except F. vestita are endemic to India. Morphological evidence and molecular phylogeny revealed that the subgenus is monophyletic. Nevertheless, the systematic position of F. tuberosa remains unclear on account of its unique ecology and inflorescence. A new species, F. mukerjeeana, is described and four binomials, namely F. gracilis, F. nilgheriensis, F. tuberosa and F. vestita have been lectotypified. Furthermore, all species have been described, illustrated and their ecology discussed. A taxonomic key including the recently described species from Thailand, F. sirindhorniae, is also provided for easy identification. 2019 Naturalis Biodiversity Center. -
Defluoridation of Drinking WaterFluoride Wars
Fluorine is also known as two-edged sword. At lower doses, it influences tooth by inhibiting tooth caries, while in high doses, it causes dental and skeletal fluorosis. It is known that some quantity of fluoride is important for the formation of tooth enamel and mineralization in tissues. The present work aims at providing safe and potable water to rural areas where this element has created a menace. This work also suggests the use of few adsorbents such as paddy husk and coir pith which are affordable and removes fluorine to greater extent. The study concludes that materials which are used as adsorbents and can be safely inculcated as fluorine removal adsorbents which help people to have safe potable water. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Removal of Struvite in Wastewater Using Anammox Bacteria
Struvite precipitation in wastewater has proved to be an effective method in treating wastewater and has helped in the recovery of ammonia nitrogen and phosphate phosphorus. Nutrient recovery from wastewater has become a new trend attracting the interests of several researchers. Extraction of the nutrients based on struvite crystals as nutrition sources from wastewater has been acknowledged as a need of the hour solution to tackle the water pollution issue. This review focuses on the featured characteristics of struvite as a chemical fertilizer for plant and the struvite formation process related to physiochemical conditions in wastewaters. In the present work, struvite precipitation in the actual swine wastewater is studied by strategically controlling aeration, pH, and mixing of anammox bacteria. The effect of organic solids in the wastewater has also been studied. Laboratory experiments were conducted by optimizing pH value. pH was found to be an important parameter in the simultaneous removals of ammonium nitrogen and orthophosphate. This work reveals that the struvite removal from wastewater can be reduced to 80% using anammox bacteria. Springer Nature Singapore Pte Ltd. 2022. -
Degradation of azodyes in wastewater by using hydrodynamic cavitation technique
The organic waste water discharged from various industries consists of large amounts of dyes & cyanides & other toxic carcinogenic pollutants which are harmful to human health & ecosystem. Release of carcinogenic dyes is hazardous & has a detrimental effect on the well being of an individual. The present work is focussed at finding the viability of hydrodynamic cavitations process in the degradation of dyes. To study the degradation, influence of various parameters on degradation rate has been studied. BEIESP. -
Origami foldaway support for beginners using image processing
Various origami works are distributed as origami books in which a succession of collapsing operations with basic outlines is portrayed. In any case, the origami book reader often will give up the instruction of the book middle, because it is too difficult to understand a way to fold in accordance with the diagrams. This paper proposes an approach to find the next step how to do the folding operation, especially for origami beginners. First, a method of detecting the folding operation based on camera images is been detected by canny edge detection. Then, in order to get the next operation camera image is been compare with the database images with the help of Bag of a visual word and Speed up robust features(SURF) detector to detect the key points by finding out the nearest neighboring distance ration (NNDR) measures to find out the similarities. 2016 Authors. -
Rayleigh-Bard convection in mono and hybrid nanoliquids in an inclined slot
Linear stability analysis is conducted to investigate the longitudinal and transverse rolls (TRs) generated in Rayleigh-Bard convection in mono and hybrid nanoliquids confined between two infinite inclined parallel slots. Thermophysical properties of six mono nanoliquids and fifteen hybrid nanoliquids are calculated for different volume fractions (0.5%, 1%, 2%) using phenomenological laws and mixture theory. The shooting method is used to solve boundary eigenvalue problems to obtain the eigenvalues for 16 different boundary conditions. It is observed that as the inclination angle is increased, it delays the onset of longitudinal rolls in the case of all boundary conditions. However, it advances the onset of TRs except when the lower plate is adiabatic. The addition of mono and hybrid nanoparticles results in the advancement of the onset of convection. The addition of SWCNT and SWCNT Al 2 O 3 accelerates the onset of convection the most while Cu and Cu-Ag accelerates the onset of convection the least amongst the mono and hybrid nanoparticles considered in the study. 2023 IOP Publishing Ltd. -
Analysis and Prediction of Suitable Model for Coconut Production Estimates in South Indian States
The study attempts to forecast coconut production in major coconut-producing states in India. The future projections on coconut production have been calculated based on yearly data for 73 years (194950 to 202122) accessed from the database of Indiastat (2022). We have used prominent forecasting techniques for the purpose and a suitable model has been chosen based on the lowest results of MAPE. The damped linear trend has been chosen for forecasting coconut production in Karnataka whereas Differenced first-order Auto Regressive model with drift has been adopted for Kerala and Karnataka. This study has considered a large dataset compared to other existing works and has chosen states that produce coconut on a large scale in India. Along with this, this study also attempts to find which state will produce more nuts for the Indian coconut industry, which can help the concerned stakeholders to take necessary decisions. Future projections depict that Kerala will continue to be the largest producer of coconut and Karnataka will show remarkable performance in coconut production during the upcoming four years post-study period. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Machine learning approaches towards medical images
Clinical imaging relies heavily on the current medical services' framework to perform painless demonstrative therapy. It entails creating usable and instructive models of the human body's internal organs and structural systems for use in clinical evaluation. Its various varieties include signal-based techniques such as conventional X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US) imaging, and mammography. Despite these clinical imaging techniques, clinical images are increasingly employed to identify various problems, particularly those that are upsetting the skin. Imaging and processing are the two distinct patterns of clinical imaging. To diagnose diseases, automatic segmentation using deep learning techniques in the field of clinical imaging is becoming vital for identifying evidence and measuring examples in clinical images. The fundamentals of deep learning techniques are discussed in this chapter along with an overview of successful implementations. 2023, IGI Global. All rights reserved. -
Empowering Renewable Energy Using Internet of Things
The massive communication of information over network gadgets associated with the internet trades data starting from one to another with no sort of human cooperation. As innovation is advancing, interconnected organizations give data to each other to impart. The energy utilization is happening at an extremely quick rate, debilitating the assets in delivering it at a similar rate, and the entirety of this requires a transformation to save energy. Information is the focal point of the Internet of Things (IoT), and it has all the information to which there was no entrance before; this information can be utilized in the revolution of the energy management framework. By utilizing advanced IoT innovations, the embracement of renewable can be upgraded signifcantly further. The reconciliation of IoT in renewable energy is empowering its development by and large. The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. -
FISCAL DECENTRALIZATION IN INDIA AND CHINA: Experiences in service delivery
[No abstract available] -
Identifying a Range of Important Issues to Improve Crop Production
Crop yield production value update has a beneficial practical impact on directing agricultural production and informing farmers of changes in crop market prices. The main objective of the suggested method is to put the crop selection technique into practise so that it may be used to address a variety of issues facing farmers and the agricultural industry. As a result, the yield rate of crop production is maximised, which benefits our Indian economy. land conditions of several kinds. So, using a ranking system, the quality of the crops are determined. This procedure also alerts farmers to the rate of crops of low and high quality. Due to the use of multiple classifiers, using an ensemble of classifiers paves the way for better prediction decisions. The decision-making process for selecting the output of the classifiers also incorporates a rating system. The price of a crop that will produce more is predicted using this method. 2023 IEEE. -
A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach
Waste produced from medical facilities systems incorporates a blend of dangerous waste which can posture dangers to humans and ecological receptors. Lacking administration of healthcare waste can prompt hazard to medicinal service specialists, patients, public health, communities and the wider environment. Hence, proper management of healthcare waste is imperative to reduce the associated health and environment risk. In this paper, we extend the MULTIMOORA decision making method with intuitionistic hesitant fuzzy set to evaluate the healthcare waste treatment methods. Intuitionistic hesitant fuzzy set is a generalized form of a hesitant fuzzy set. Intuitionistic hesitant fuzzy set considers the uncertainty of data in a single framework and take more information into account. The MULTIMOORA method consists of three parts namely the ratio system, reference point approach and the full multiplicative form. In the optimal ranking methods, the IHF-MULTIMOORA method is uncomplicated it is able to be used practically with high dimension intuitionistic hesitant fuzzy sets. For pathological, pharmaceutical, sharp, solid and chemical wastes, the preferred waste disposal methods are deep burial, incineration, autoclave, deep burial, and chemical disinfection, respectively. 2013 IEEE.