The Indonesian Electronic Information and Transactions Within Indonesia’s Broader Legal Regime: Urgency for Amendment?

Cyberspace is the interdependent network of information technology infrastructures such as the internet, telecommunications networks, and computer systems. Meanwhile, Indonesia’s Law Number 11 of 2008 and its amendment through Indonesian Law Number 19 of 2016 governing cyberspace have been viewed to contradict and infringe other areas of law, such as protection of press or freedom of expression. Hence, this study seeks to identify the controversies and problems regarding the law deemed urgent for amendment. Further, this study creates recommendations so the government may amend electronic information policy more fairly and efficiently. This study uses a judicial normative and comparative approach. This research tries to analyze the existing regulations and the implementation and compare Indonesia’s cyberspace regulation with other States’. This study finds that Articles 27(3) and 28(2) of the law criminalize defamation and hate speech in an overly broad manner and that Article 40(2)(b) allows the government to exercise problematic censorship. As a result, they have infringed the freedom of the press and general freedom of expression in practice. In response to this, this study compares similar provisions from other States and recommends amendment the articles to become narrower and more clearly defined.

The Legal Regime of Basic Multiplicities in Bankruptcy Proceedings

The paper substantiates the position that the entrepreneurial market is no longer a collection of individual participants one way or another interacting with each other through voluntary communication "clothed" in a legal form, but a potentially interdependent network, the presence of which is found in the conditions of a property crisis of one of its elements. In this vein, the bankruptcy procedure is an arena for the collision of multidirectional interests of multiplicities discovered in this process, the most important of which are the unions of the meeting of creditors. They engage persons included, together with the debtor, in a corporate group, qualified by the author as multiplicities of simple partnerships. These partnerships have a specific purpose, they arise at the moment of capital pooling (initiated by a corporate group) or objective bankruptcy (initiated by independent creditors), they are endowed with a certain amount of powers within the framework of the bankruptcy procedure with due regard to the specifics of their status and they cease to exist at the moment of an actual achievement of the set goal, which is not always connected with the termination of the trial. A feature of the studied varieties of a simple partnership is the predominant involuntary association of its participants when they are forced to interact with each other due to the insolvency of their counterparty. The uniqueness of this type of a partnership is manifested, among other things, in the form of a contribution to such a partnership, since, entering into civil law relations at the time of the objective solvency of the future debtor, his counterparties do not realize that their reciprocal contribution under the obligation is nothing more than "contribution" to the property (potentially bankruptcy) assets of the future partnership that arises at the time of actual bankruptcy of the person with whom they enter into a legal relationship. In addition, the author demonstartes the need to clarify the legal nature of this type of partnership, of which the debtor and related persons are members, in order to prevent the latter from participating in the bankruptcy process along with the debtor's independent creditors.

Integrating User Preference Into Improved Home Appliance Scheduling

Primary Question – How can smart appliance networks integrate human preference to enhance appliance scheduling? To deal with user preference variability, where the physical network interacts with human behavior, the most effective method is a flexible Graphical User Interface (GUI), or dashboard. In this work a dashboard is developed to make a more flexible model, this dashboard can account for variability in load preference, goal preference and appliance specifications, allowing consumers to plan loads on their specific network of household appliances in order to schedule a preferred time and evaluate the costs of certain load timing, given the desire to minimize the cost of electricity, avoid exceeding a peak load with minimal deviations from the user preferred schedule. As a result, uncertainty due to users is mitigated, such that only uncertainty in the load cycles themselves had to be managed, and that management could be done with greater robustness and computational efficiency. Consequently, this provides a model for developing more computationally efficient and robust scheduling patterns for household appliances. In this paper, household appliances are treated as an interdependent network to find satisficing solutions for timing loads to minimize electric cost, peak load, and deviation from the preferred time of scheduling.

Peer pressure induced punishment resolves social dilemma on interdependent networks

Despite the fruitful evidence to support the emergence of cooperation, irrational decisions are still an essential part of promoting cooperation. Among the many factors that affect human rational decision-making, peer pressure is unique to social organisms and directly affects individual cooperative behaviors in the process of social interaction. This kind of pressure psychologically forces individuals to behave consistently with their partners, and partners with inconsistent behaviors may suffer psychological blows. As feedback, this psychological harm may in turn affect individual cooperative decisions. There is evidence that when peer pressure exists, partnerships can reduce free-riding in enterprise. Based on interdependent networks, this paper studies the impact of peer pressure on cooperation dynamics when the strategies of corresponding partners from different layers of the networks are inconsistent. We assume that when individuals are under peer pressure, their payoffs will be compromised. The simulation results show that the punishment effect will force the expulsion of partners with different strategies, which will further reduce the proportion of partners with inconsistent strategies in the system. However, in most cases, only moderate fines are most conductive to the evolution of cooperation, and the punishment mechanisms can effectively promote the interdependent network reciprocity. The results on the small world and random network prove the robustness of the result. In addition, under this mechanism, the greater the payoff dependence between partners, the better the effect of interdependent network reciprocity.

Robustness and recovery mechanism under the interaction of dependent networks

With the development of society and the progress of science and technology, the process of urban infrastructure construction is accelerating, various infrastructure networks are constantly improving, and the links between different infrastructure networks are getting closer. Compared with a single network, this kind of interdependent network is more complex, and the research results of the existing single network are difficult to explain the nature and phenomenon of this kind of network. This article mainly introduces the research on the robustness and recovery mechanism of interdependent networks. From the perspective of a complex network, this paper combines the interdependence between the networks in the actual system and the node load and builds an interdependent network model. On the basis of the load capacity model, an interdependent network error model is established. And through matlab simulation experiments, the fault propagation characteristics of dependent networks under three conditions and the reliability attack methods of dependent networks are studied. The experimental results in this article show that dependent networks show exceptional vulnerability under deliberate attack functions, while dependent networks show good robustness under random attack modes. In addition, increasing the network node tolerance coefficient can improve the robustness of the interdependent network. When the tolerance is increased from 1 to 10, the robustness of the dependent network is increased by 18%.

Signalling Pathways Mediating the Effects of CD40-Activated CD40L Reverse Signalling on Inhibitory Medium Spiny Neuron Neurite Growth

CD40-activated CD40L-mediated reverse signalling is a major physiological regulator of neurite growth from excitatory and inhibitory neurons in the developing central nervous system (CNS). Whereas in excitatory pyramidal neurons, CD40L reverse signalling promotes the growth and elaboration of dendrites and axons, in inhibitory GABAergic striatal medium spiny neurons (MSNs), it restricts neurite growth and branching. In pyramidal neurons, we previously reported that CD40L reverse signalling activates an interconnected and interdependent signalling network involving protein kinase C (PKC), extracellular regulated kinases 1 and 2 (ERK1/2), and c-Jun N-terminal kinase (JNK) signalling pathways that regulates dendrite and axon growth. Here, we have studied whether these signalling pathways also influence neurite growth from striatal inhibitory MSNs. To unequivocally activate CD40L reverse signalling, we treated MSN cultures from CD40-deficient mice with CD40-Fc. Here, we report that activation of CD40L reverse signalling in these cultures also increased the phosphorylation of PKC, ERK1/2, and JNK. Using pharmacological activators and inhibitors of these signalling pathways singularly and in combination, we have shown that, as in pyramidal neurons, these signalling pathways work in an interconnected and interdependent network to regulate the neurite growth, but their functions, relationships, and interdependencies are different from those observed in pyramidal neurons. Furthermore, immunoprecipitation studies showed that stimulation of CD40L reverse signalling recruits the catalytic fragment of Syk tyrosine kinase, but in contrast to pyramidal neurons, PKC does not participate in this recruitment. Our findings show that distinctive networks of three signalling pathways mediate the opposite effects of CD40L reverse signalling on neurite growth in excitatory and inhibitory neurons.