Malaysia which is known as a country with multi-ethnic and multi-religious society who live coexist in relative harmony. Unfortunately, the harmony prosperity of was torn because greediness misbehaviour among people country. This malpractice, misconduct corruption happened every day everywhere. actions behaviours not only from lowest position but it also involved highest status level whether bi...

Abstract Need-based transfer systems pool risk among interdependent individuals. Such arrangements are bound by two simple rules: Ask for help only when in need and, if you able, give to others who ask. But there may be a temptation individuals break these rules short-term personal profit. Here, we study one factor that enforce honesty need-based relationships: the visibility of resources. Acro...

This article presents a scalable mechanism for peer-to-peer (P2P) energy trading among prosumers in smart grid. In the proposed mechanism, engage non-mediated negotiation with their peers to reach an agreement on price and quantity of be exchanged. Instead concurrent bilateral between all high overheads, iterative peer matching process is employed match negotiation. The algorithm enables come a...

The primary purpose of this research study is to reflect on financial anomalies, especially bank scams in Bangladesh. This an empirical approach developed through a well-structured Likert-scaled questionnaire indicate different human behaviors, psychologies, and emotions that considerably impact incongruities proposed model supported the structural equation (SEM) used SPSS Amos (Version 24) bui...

The informed dynamic scheduling (IDS) strategies, in which the edge message with maximum message-residual is updated preferentially, achieve remarkable error-correction performance when applied to low-density parity-check (LDPC) codes. However, IDS strategies incur inferior convergence iterative decoding owing greedy problem, called update-relayed trend here. In order solve greediness, two loca...

In this paper we propose an algorithm for polynomial-time reinforcement learning in factored Markov decision processes (FMDPs). The factored optimistic initial model (FOIM) algorithm, maintains an empirical model of the FMDP in a conventional way, and always follows a greedy policy with respect to its model. The only trick of the algorithm is that the model is initialized optimistically. We pro...

max (k, n − k)-cut (resp., min (k, n − k)-cut) is a constrained version of max-cut (resp., min-cut) where one has to find a bipartition of the vertex set into two subsets with respectively k and n − k vertices (n being the total number of vertices of the input graph) which maximizes (resp., minimizes) the number of edges going from one subset to the other. In this paper, we investigate the para...

Abstract In nonlinear greedy approximation theory, bidemocratic bases have traditionally played the role of dualizing democratic, greedy, quasi-greedy, or almost bases. this article we shift viewpoint and study them for their own sake, just as would with any other kind greedy-type particular show that need not be despite fact they retain a strong unconditionality flavor which brings very close ...

An arbitrary amount of entanglement shared among nodes a quantum network might be nondistillable if the lack information on entangled Bell pairs they share. Making such system distillable, which is called superactivation bound (BE), was shown to possible through systematic teleportation between nodes, requiring implementation controlled-gates scaling with number nodes. In this work, we show in ...

Greed plays an important in the fluctuations of stock prices because investors want profits irrespective risk taken by them. This study aims to determine, whether, times rising trends market, greediness is good for investor or not. Secondly, can get high beating market The already formed deciles portfolios listed companies on NYSE, AMEX, and NASDAQ based size book value are from Kenneth R. Fren...