Utilitas Konsumen Muslim

The main motive of a consumption is to obtain a utility/satisfaction. However, in Islam there are many rules of consumption that can be restrict for consumer’s freedom. The purpose of this article is to find out how Islam manages consumer and how a Muslim obtains maximum utility in his consumption. The method of this research is literature study by reviewing books, scientific journals, and articles from relevant official websites. The results of the research shows that Muslim consumer still gets maximum utility even though there are many rules that regulate him. Even, his maximum utility is not influenced by his financial capabilities.

What Human Factors Are Associated With The Adoption Of BYOB in an organization

Abstract—Bring Your Own Device (BOYD) is one of the current trends adopted widely by organizations. The reason for its positive reception is due to the benefit it brings to the organization through cost-efficiency, productivity levels, performance, and morale among the employee teams. Despite the benefits that BOYD brings about to organizations, many organizations are still skeptical about the threats and vulnerabilities that come about due to the human element in mobile technology. Within this context, the present paper provides an investigative approach to the role of the impact of the human element in the BOYD scheme. The paper concludes that to promote the adoption of BYOD in the organization, and there must be a renewed focus on building the element of trust and ensuring that the users can derive the maximum utility from the devices.

Optimal pricing and ordering strategies for dual-channel retailing with different shipping policies

<p style='text-indent:20px;'>In this paper, considering dual-channel retailing (online channel and offline channel), we study the pricing and ordering problem under different shipping policies. In this research, we mainly consider three shipping policies: without shipping price (OSP), with shipping price (WSP) and conditional free shipping (CFP). Based on the principle of maximum utility, we firstly obtain the probability of demand for the online and offline channels and further model the pricing and ordering problem under the three shipping policies. Further, avoiding the curse of dimensionality, the deep deterministic policy gradient (DDPG) method is employed to solve the problem to obtain the optimal pricing and ordering policy. Finally, we conduct some numerical experiments to compare the optimal pricing and ordering quantity under the three different shipping policies and reveal some managerial insights. The results show that the conditional free shipping policy is better than the other two policies, and stimulates the increase of demand to gain more profit.</p>

Cloud-Assisted Privacy-Preserving Method for Healthcare Using Adaptive Fractional Brain Storm Integrated Whale Optimization Algorithm

The security of medical data in the cloud is the key consideration of cloud customers. While publishing the medical data, the cloud distributor may suffer from data leakages and attacks such that the data may leak. In order to resolve this, this article devises the developed Adaptive Fractional Brain Storm Integrated Whale Optimization Algorithm (AFBS_WOA), which is the hybridization of Adaptive Fractional Brain Storm Optimization (AFBSO) and Whale Optimization algorithm (WOA). The developed AFBS_WOA algorithm generates the key matrix coefficient for retrieving the perturbed database in order to preserve the privacy of healthcare data in the cloud. The developed AFBS-WOA scheme utilized the fitness function involving utility and privacy measures for calculating the secret key. Here, the privacy-preserved database is obtained by multiplying the input database with a key matrix based on developed AFBS-WOA using the Tracy–Singh product. For data retrieval, the secret key is shared with the service provider in order to retrieve the database, and then the data are accessed. Moreover, the experimental result demonstrates that the developed AFBS_WOA model attained the maximum utility and privacy measure of 0.1872 and 0.8755 using the Hungarian dataset.

Stable Strategy Formation for Mobile Users in Crowdsensing Using Co-Evolutionary Model

In crowdsensing, the diversity of the sensing tasks and an enhancement of the smart devices enable mobile users to accept multiple types of tasks simultaneously. In this study, we propose a new practical framework for dealing with the challenges of task assignment and user incentives posed by complex heterogeneous task scenarios in a crowdsensing market full of competition. First, based on the non-cooperative game property of mobile users, the problem is formulated into a Nash equilibrium problem. Then, to provide an efficient solution, a judgment method based on constraints (sensing time and sensing task dimension) is designed to decompose the problems into different situations according to the complexity. We propose a genetic-algorithm-based approach to find the combination of tasks that maximizes the utility of users and adopts a co-evolutionary model to formulate a stable sensing strategy that maintains the maximum utility of all users. Furthermore, we reveal the impact of competition between users and tasks on user strategies and use a cooperative weight to reflect it mathematically. Based on this, an infeasible solution repair method is designed in the genetic algorithm to reduce the search space, thus effectively accelerating the convergence speed. Extensive simulations demonstrate the effectiveness of the proposed method.

Analisis Penjadwalan Produksi Berdasarkan Pesanan Menggunakan Metode Asas Prioritas pada CV Davero Cemerlang Indonesia Surabaya

The purpose of this study was to determine the most efficient order scheduling technique on CV. Davero Jaya Shining Indonesia to reduce delays in order fulfillment. The suggested scheduling approach is based on a priority rule system that includes the following criteria: first come, first served, lowest processing time, longest processing time, and earliest due date (first come first served). Davero Jaya Cemerlang Indonesia uses the SPT technique in its manufacturing process, according to their company CV. The company decided to adopt this technique because it seemed reasonable from a consumer's point of view. The downside of this technique is that it often causes delays in completing client orders. Based on the results of data analysis and debates that have been given, the FCFS technique is the most superior method among others. Considering the fact that the findings of the FCFS method effectiveness measure are consistent with the current criteria, which include minimum average completion scores, maximum utility, minimum average delay, and minimum average labor force in the system. Therefore, the researchers gave suggestions to the company CV. Davero Jaya Cemerlang Indonesia to use the FCFS method as an alternative production scheduling method. With the application of the FCFS method in CV. Davero Jaya Cemerlang Indonesia is expected to be able to help resolve production scheduling problems that have been happening so far. So that the problem of delays in completing orders can be minimized. Keywords: Scheduling, Gantt Chart, Priority Principles and CV. Davero Jaya Cemerlang Indonesia

Infusion of iPSC-Derived CD34 + Hematopoietic Progenitors Following Myeloablative HSC Transplantation and Assessment of Their Immunogenicity in MHC-Defined Nonhuman Primate Model

Bone marrow suppression and associated neutropenia that renders the patient more susceptible to infection is a major complication and limiting factor for current chemotherapy. Strategies aimed at neutrophil reconstitution using transfusions or accelerating neutrophil recovery with G-CSF show a limited effect in reducing the rate of infection. To overcome these limitations, administration of ex vivo expanded somatic hematopoietic progenitors (HPs) has been explored as a way to facilitate a more rapid myeloid recovery and improve overall survival following myeloablation. Recent advances in reprogramming and induced pluripotent stem cell (iPSC) technologies have created alternative platforms for off-the-shelf supply of immunologically compatible HPs, including cellular products derived from MHC homozygous superdonors which can increase the degree of MHC matching and may provide a maximum utility for stem cell banking. In these studies, we developed Mauritian cynomolgus macaque (MCM) model to evaluate the utility and safety of CD34 +CD45 + hematopoietic progenitors derived from iPSCs (iHPs) generated from MHC homozygous animals in the treatment of cytopenia following myeloablative stem cell transplantation. MCM iPSCs were generated from MHC homozygous animals and used to generate iHPs in coculture with OP9. Three groups of MCMs underwent myeloablative total body irradiation (TBI) followed by transplantation of cryopreserved autologous CD34 + HSPCs. Four days after autologous HSPC transplantation, animals received transfusion of 30x10 6/kg cryopreserved iCD34 + cells tagged with eGFP or tdTomato from homozygous MHC-matched iPSCs (group 2) or homozygous MHC mismatched iPSCs (group 3). We have demonstrated that infusion of iHPs is safe and well tolerated. No teratoma or tumor formation was observed in animals one year after infusion of iHPs. Although we detected few iPSC derived hematopoietic cells in the blood within 1-week post-infusion, we did not see any significant differences in blood counts or other peripheral blood parameters between all animal groups. Intriguingly we found footprints of iPSC-derived cells in the colon, lymph node, skin and brain specimens collected 25 days after iHP infusion from one animal. This suggests a possibility of migration and retention within these tissues of iHP and iHP-derived myeloid cells. To assess immunogenicity, MHC homozygous iHPs were infused into immunocompetent MCMs across different MHC barriers. 10x10 6/kg of cryopreserved iCD34+ from homozygous iPSCs were transfused every week for 3 weeks, into animals that were divided into 4 groups namely autologous (group I), MHC matched homozygous (group II), MHC matched heterozygous (group III) and MHC mismatch (group IV). Overall, these studies revealed low immunogenicity of MHC homozygous iHPs in MHC matched homozygous and heterozygous animals, while weak immune response was detected following iHP infusion in some MHC mismatched animals. Disclosures Slukvin: Cynata Therapeutics: Consultancy, Current equity holder in publicly-traded company.

Accuracy of the Milan System for Detecting Neoplastic vs Non-Neoplastic Salivary Gland Lesions: A Retrospective Review

Introduction/Objective Overlapping morphology and heterogeneity of salivary gland tumors (SGT) poses a diagnostic challenge. FNA is commonly used diagnostic tool for evaluation of superficial and deep lesions of any site, but above limitations restrict its maximum utility. To standardize reporting and to address above limitations, Milan system (MS) of reporting salivary gland cytology, has been developed and implemented by labs. We conducted a retrospective study, applying MS to salivary gland lesions (SGL) to evaluate its accuracy and usefulness in discriminating between neoplastic and non-neoplastic conditions, and thus directing patient management (PM) Methods/Case Report 10 yr retrospective review was performed to include patients with FNA for SGL, cytology diagnosis categorized using MS, cytology-histology (CH) correlation performed, and patients’ charts reviewed for follow up. Attention given to diagnostic discrepancies between MS categories and the histologic diagnosis Results (if a Case Study enter NA) 152 patients (20-88yrs) were retrieved, peak incidence 40-49 yrs; M:F ratio 1.2:1. Distribution of the cases in the MS categories: Non-diagnostic (ND) 24, Non-neoplastic (NN) 33, Atypia of Undetermined Significance (AUS) 4, Neoplasm (N) 71, Suspicious for malignancy (SUN) 7, and Malignant (M) 10. 60 cases identified with follow-up histology, of which 51 cases were correlated, distributed as 4 ND, 4 NN, 0 AUS, 37 N, 3 SUN, and 3 M. The uncorrelated 9 cases were distributed as 4 ND due to scant sampling; 2 NN, histologically Warthin’s tumor and sialolipoma; 2 AUS, histologically basal cell neoplasm and infarcted Warthin’s tumor; 1 malignant, histologically cystic mucoepidermoid carcinoma; 0 cases for neoplastic and suspicious for malignancy categories Conclusion Milan System is a useful cytologic tool for diagnosing and segregating patients with salivary gland pathologies, however, our study shows MS to be more reliable diagnostic tool with higher accuracy (combined 98%) in N, SUN & M categories as compared to ND, NN & AUS categories (combined 50%)

A rational delegating computation protocol based on reputation and smart contract

The delegating computation has become an irreversible trend, together comes the pressing need for fairness and efficiency issues. To solve this problem, we leverage game theory to propose a smart contract-based solution. First, according to the behavioral preferences of the participants, we design an incentive contract to describe the motivation of the participants. Next, to satisfy the fairness of the rational delegating computation, we propose a rational delegating computation protocol based on reputation and smart contract. More specifically, rational participants are to gain the maximum utility and reach the Nash equilibrium in the protocol. Besides, we design a reputation mechanism with a reputation certificate, which measures the reputation from multiple dimensions. The reputation is used to assure the client’s trust in the computing party to improve the efficiency of the protocol. Then, we conduct a comprehensive experiment to evaluate the proposed protocol. The simulation and analysis results show that the proposed protocol solves the complex traditional verification problem. We also conduct a feasibility study that involves implementing the contracts in Solidity and running them on the official Ethereum network. Meanwhile, we prove the fairness and correctness of the protocol.

Multi-tier multi-tenant network slicing: A multi-domain games approach

The 5G slice networks will play a critical role in meeting the stringent quality-of-service requirements of different use cases, reducing the Capital Expenditure (CapEX) and Operational Expenditure (OpEX) of mobile network operators. Owing to the flexibility and ability of 5G slice networks to meet the needs of different verticals, it attracts new network players and entities to the mobile network ecosystem, and therefore it creates new business models and structures. Motivated by this development, this paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from a multiplayer multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising Infrastructure Providers (InPs), Mobile Virtual Network Operators (MVNOs), Service Providers (SPs), and slice users are investigated. We propose two schemes: a multi-tier multi-domain slice user matching game scheme and a distributed backtracking multiplayer multi-domain game scheme in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a Genetic Algorithm (GA) Intelligent Latency-Aware Resource (GI-LARE) allocation scheme, and a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme significantly outperforms these other schemes.