Search

This article presents a study on procedural terrain generation using Perlin noise in the Unity game engine, building upon prior research and established techniques [1,2]. The objective of the this study is to create realistic and visually appealing landscapes by leveraging algorithmic generation [3]. By utilizing a two dimensional monochrome Perlin noise map, the algorithm generates terrains with organic features such as hills, valleys, and mountains [4]. The research employs the Unity game engine, which offers a wide range of tools and technologies for implementing procedural generation algorithms [5]. The performance analysis conducted during this study yielded important insights. The execution time test revealed that the algorithm's execution time increased significantly with larger grid sizes, emphasizing the need to consider the scale and resolution of the terrains [6]. This finding highlights the trade-off between generating detailed terrains and the time required for the algorithm to complete its computations. Additionally, the memory usage test demonstrated a quadratic relationship between memory usage and grid size, indicating the necessity of efficient memory management [7] for generating higher-resolution terrains. Optimizing memory usage is crucial to avoid excessive consumption and ensure efficient resource utilization. These findings from the performance analysis provide valuable guidance for optimizing and refining the algorithm discussed in this article. Techniques such as algorithmic refinements, parallelization [8,6], and memory optimization strategies can be employed to reduce execution times and minimize memory overhead. By understanding the algorithm's performance characteristics and leveraging the insights gained from the analysis, developers can make informed decisions to generate visually compelling and diverse landscapes within the Unity game engine.

People, both in business and in public life always want to secure their freedom - freedom of expression, communication, and above all, freedom of choice. However, this concept of freedom is rarely extended to the consumer knowledge perspective. After all, customers are human beings and freedom is at the heart of the concept of shopping and food. Welcome to the world of Artificial intelligence (AI). When AI is integrated with customer experience, it can create a customer journey that allows customers to have their own experience, ultimately leading to more agency and more satisfied customers. What matters the most in business efficiency today is customer relation management and the time it takes to provide business solution to them. The profit/loss graph is heavily dependent on users’ trust and experience with the company or organization. Understanding the importance of using ERP systems in various sectors like Education, Bank, Telecom, Software solution company is well known in the IT industry today. From cafeteria income and outcome to company’s revenue and turnover generation to debit and credits; from students’ detail to performance of the student in academics in particular subject, everything can be achieved through Open-source software SAP. Implementing the vast powers of SAP integrated with AI gives boosting efficiency to the company. According to SAP, Gartner's latest report stated, "By 2023, organizations in the advanced stages of digital transformation will find that poor customer experience is their biggest obstacle to continued success. "Client misunderstandings can be the result of inability to effectively manage complaints, misunderstanding of customer feedback, and ignorance of customer preferences. There is a need to close the gap between freedom and technology. If artificial intelligence is integrated with SAP, it can close that gap.

For some time, there has been a strong interest in the ethics of banking (Molyneaux, 2007; George, 1992), as well as the moral complexity of fraudulent behavior (Clarke, 1994). Fraud means obtaining services/goods and/or money by unethical means, and is a growing problem all over the world nowadays. Fraud deals with cases involving criminal purposes that, mostly, are difficult to identify. Credit cards are one of the most famous targets of fraud but not the only one; fraud can occur with any type of credit products, such as personal loans, home loans, and retail. Furthermore, the face of fraud has changed dramatically during the last few decades as technologies have changed and developed. A critical task to help businesses and financial institutions including banks is to take steps to prevent fraud and to deal with it efficiently and effectively, when it does happen (Anderson, 2007). Anderson (2007) has identified and explained the different types of fraud, which are as many and varied as the financial institution’s products and technologies, such as Transaction products: credit and debit cards and checks, Relationship to accounts first, second and third parties, Business processes: application and transaction, Manner and timing short versus long term, Identify misrepresentation: embellishment, theft and fabrication, Handling of transaction: lost or stolen, not received, skimming and at hand, Utilization counterfeit, not present, altered or unaltered, Technologies ATM and Internet. Solutions for integrating sequential information in the feature set exist in the literature. The predominant one consists in creating a set of features which are descriptive statistics obtained by aggregating the sequences of transactions of the cardholders (sum of amount, count of transactions, location from where the payment is being made etc..). We used this method as a benchmark feature engineering method for credit card fraud detection. However, this feature engineering strategy raised several research questions. First of all, we assumed that these descriptive statistics cannot fully describe the sequential properties of fraud and genuine patterns and that modelling the sequences of transactions could be beneficial for fraud detection. Moreover, the creation of these aggregated features is guided by expert knowledge whereas sequence modelling could be automated thanks to the class labels available for past transactions. Finally, the aggregated features are point estimates that may be complemented by a multi-perspective univariate description of the transaction context. We proposed a multi-perspective HMM-based automated feature engineering strategy in order to incorporate a broad spectrum of sequential information in the transactions feature sets. In fact, we model the genuine and fraudulent behaviors of the merchants and the card-holders according to two univariate features: the country from where the payment is being made and the amount of each of the transactions being made. Moreover, the HMMbased features are created in a supervised way and therefore lower the need of expert knowledge for the creation of the fraud detection system. In the end, our multiple perspectives HMM-based approach offers automated feature engineering to model temporal correlations so as to complement and possibly supplement the use of transaction aggregation strategies in order to improve the effectiveness of the classification task. Experiments conducted on a large real world credit card transaction dataset (46 million transactions from belgium card-holders between March and May 2015) have shown that the proposed HMMbased feature engineering allows for an increase in the detection of fraudulent transactions when combined with the state-ofthe-art expert-based feature engineering strategy for credit card fraud detection. To conclude, this work leads to a better understanding of what can be considered contextual knowledge for a credit card fraud detection task and how to include it in the classification task in order to get an increase in fraud detection. The method proposed can be extended to any supervised task with sequential datasets. The main aims are, firstly, to identify the different types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection. Indeed, transaction products, including credit cards, are the most vulnerable to fraud. On the other hand, other products such as personal loans and retail are also at risk, and have serious ethical conflicts. Keywords: Behavior and Location Analysis (BLA); Fraud Detection System (FDS); Automated Teller Machine (ATM); Credit Card Fraud Detection; DB: Database.

Chemical warfare agents (CWAs) are among the most prominent threats to the human population, our peace, and social stability. Therefore, their detection and quantification are of utmost importance to ensure the security and protection of mankind. In recent years, significant developments have been made in supramolecular chemistry, analytical chemistry, and molecular sensors, which have improved our capability to detect CWAs. Fluorescent and colorimetric chemosensors are attractive tools that allow the selective, sensitive, cheap, portable, and real-time analysis of the potential presence of CWAs, where suitable combinations of selective recognition and transduction can be integrated. In this review, we provide a detailed discussion on recently reported molecular sensors with a specific focus on the sensing of each class of CWAs such as nerve agents, blister agents, blood agents, and other toxicants. We will also discuss the current technology used by military forces, and these discussions will include the type of instrumentation and established protocols. Finally, we will conclude this review with our outlook on the limitations and challenges in the area and summarize the potential of promising avenues for this field.

This is a project that mainly concerns web developers' areas of interest. While creating a project developers face the problem of scaffolding and especially doing it the right way is another major task that needs to be accomplished. It is a NodeJSbased project through which a fresh project structure can be created with the help of the Command Line Interface. Setting up a new project may require setting up various folders which might get hectic hence this project is a perfect solution as it performs scaffolding with the help of a few CLI commands. The idea of creating such a project hit the minds of our team while building other web projects during our bachelor's in technology. This project is an operating system independent product that can be used on any machine with any operating system like Windows, Linux, Mac, etc. The pre-requisite of this project is that Node.JS should be installed in the device on which the product has to be used. NodeJS is an open-source server environment that helps to run JavaScript on the server.

Early scalable process development for the synthesis of ZY12201, a novel TGR5 receptor agonist, as a potential clinical candidate is described. A practical, efficient, and scalable synthetic route ...

A new series of imidazo[1,2-a]pyridine-coumarin hybrid has been developed by combining two biologically active pharmacophores coumarin and imidazo[1,2-a]pyridine following a Groebke–Blackburn–Bienayme multicomponent reaction (MCR). Molecular docking studies of these novel compounds with nonstructural protein 5B (NS5B) exhibited promising binding interactions by forming hydrogen bond at Ser476, Trp528, Arg422 and Arg501, directly and hydrophobic contacts with Leu419, Ile482, Leu497, Leu489, Met423, Leu474 and His475, which are potentially useful for a new scaffold discovery.

An unprecedent, efficient, and convenient lab-scale protocol for stable deuteration of Mesalamine, with mixed catalyst 10% Pd/C (10 wt %) and 10% Pt/C (25 wt %) at 145 °C, using D2O as deuterium source, in hydrogen atmosphere, is reported. The nature of reactive species with Pd/C–Pt/C–D2O–H2 system is suggested to be of electrophilic nature D+ type. Download : Download high-res image (59KB) Download : Download full-size image

This paper reports on the potentiometric response characteristics of gallium electrodes coated with native or anodic oxide layers in aqueous solutions. Solid metallic gallium electrodes were prepared by cooling liquid gallium monoliths supported either on planar silicon substrates or incorporated within glass capillaries. These metallic gallium electrodes showed potentiometric pH responses with a slope of ca. -38 mV/pH in the pH range between 3 and 9. The potentials measured could originate from redox processes involving surface oxide that was formed as a result of reactions between the metallic gallium and water (and/or OH−), as observed using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX). Similar potentiometric measurements were examined for planar and capillary-incorporated gallium electrodes that were anodized in ice-cooled aqueous H2SO4 at 10 V. Although the resulting nanoporous anodic oxide-coated electrodes did not initially show potentiometric pH responses, they exhibited pH responses with a smaller response slope (ca. -30 mV/pH; pH 3∼9) after potentiometric measurements in a solution of pH ≤ 3. This observation could be explained by the acid-induced dissolution of an oxide-based barrier layer that passivated the underlying gallium electrode. This explanation was compatible with the observation of an additional gallium oxide layer over the nanoporous anodic oxide after the potentiometric pH measurements. Interestingly, in contrast to the metallic gallium electrodes, the anodic oxide-coated electrodes exhibited potentiometric Nernstian responses to SO42− at ≥ 10−4 M, reflecting the presence of sulfate doped into the oxide during the anodization. These results provide fundamental knowledge required to design miniaturized electroanalytical probes based on gallium electrodes.

A new series of imidazo[1,2-a]pyridine-coumarin hybrid has been developed by combining two biologically active pharmacophores coumarin and imidazo[1,2-a]pyridine following a Groebke–Blackburn–Bienayme multicomponent reaction (MCR). Molecular docking studies of these novel compounds with nonstructural protein 5B (NS5B) exhibited promising binding interactions by forming hydrogen bond at Ser476, Trp528, Arg422 and Arg501, directly and hydrophobic contacts with Leu419, Ile482, Leu497, Leu489, Met423, Leu474 and His475, which are potentially useful for a new scaffold discovery.

A practical, mild, and high-yielding synthetic approach for the synthesis of unknown tetrahydropyrimidinyl substituted 3-coumarins as hybrid scaffolds, potentially useful new chemical entities (NCEs), via metal- and catalyst-free multicomponent cyclization is described. The enhanced nucleophilicity of 3-amino coumarins versus 4-amino coumarin is explained via the difference in 13C NMR δ values (Δδ) of vinylic carbons. X-ray crystal analysis defines the structure of a representative set of example.

A practical, mild, and high-yielding synthetic approach for the synthesis of unknown tetrahydropyrimidinyl substituted 3-coumarins as hybrid scaffolds, potentially useful new chemical entities (NCEs), via metal- and catalyst-free multicomponent cyclization is described. The enhanced nucleophilicity of 3-amino coumarins versus 4-amino coumarin is explained via the difference in 13C NMR δ values (Δδ) of vinylic carbons. X-ray crystal analysis defines the structure of a representative set of example.