Dapsone is an anticatalysis for Alzheimer’s disease exacerbation

This study investigated leprosy patients with Alzheimer's disease (AD) treated with dapsone (4,4’-diaminodiphenyl sulfone, DDS) as a cytosolic DNA sensor cyclic-GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) signaling pathway and neuroinflammasome competitor. We searched the Sorokdo National Hospital medical records and the National Health Insurance Service in South Korea with the International Classification of Diseases (ICD)-10 code and Electronic Data Interchange (EDI) from January 2005 to June 2020. Four groups were defined: Treatment (T) 1: DDS prescription (+) AD prevalence (+), T 2: DDS (+) AD nondiagnosed (-), T 3: DDS nonprescription (-) AD (+), T 4: DDS (-) AD (-). The T1:T3 tests demonstrate that the incidence of AD is significantly reduced in the presence of dapsone among AD patients. The T1:T3 tests demonstrate that the incidence of AD is significantly reduced in the presence of dapsone among AD patients. T1 (M = 0.18, SD = 0.074):T2 (M = 0.55, SD = 0.14) and T3 (M = 0.18, SD = 0.074):T4 (M = 0.55, SD = 0.14) explain that dapsone effects on AD can be clearly distinguished according to its presence or absence.The T1:T4 and the T2:T3 test demonstrate a causal relationship in which the presence or absence of dapsone determines the onset of AD. The T1:T3 test proved that the incidence of AD was significantly reduced by dapsone. (The t-value is -23.1, p-value is < .00001, significant at p < .05) The T2:T3 test proved that the prevalence of AD was significantly high without dapsone, and without AD was increased with dapsone. (The t-value is -6.38, p-value is < .00001, significant at p < .05) AD is increased in the absence of dapsone. Our study has demonstrated that dapsone has the potential for the prevention of AD. This study indicates that dapsone is a valid preventive therapeutic for AD. KEYWORD: Neuroinflmmasome, Alzheimer's disease, Dapsone

Blockchain in the Biopharmaceutical Industry

Biopharmaceutical companies and health authorities continuously exchange information to provide safe and effective therapeutics. The interactions between the two require transparency and extensive documentation exchange concerning the processes which extend from the development through the manufacturing phase. The current processes rely on paper documentation, notebooks, and point-to-point electronic data interchange (EDI) for the storage of data. Thereby, generating challenges of data integrity within the internal siloed structures and the traceability of the medicinal products in the pursuit to avoid counterfeiting. With Industry 4.0 and blockchain, the authors envisioned a reinvented workflow that helps to 1) manage data integrity with decentralized trust and 2) improve the track and trace capabilities. Hence, biopharmaceutical companies can manage data in a more trustable manner while maintaining security and privacy, further enabling the external ecosystem with track and trace to ensure complete transparency until the therapeutics reach patients.

INDUSTRIES PIONEERING BLOCKCHAIN TECHNOLOGY FOR ELECTRONIC DATA INTERCHANGE

Rapid development of blockchain technologies promote involvement of methods using categorize research topics, identify the most topical trends, and ascertain the main publishing sources related to electronic data interchange. The study is based on an analysis of scientific publications (2015-2019 years) and investigation on the theory of supply chain and logistic the research is based on theoretical research methods that include a literature review and content analysis. The authors have reviewed 9,780 primary papers published between the years 2015-2019 from major academic databases (EBSCO, Elsevier ScienceDirect, Emerald Insight, Scopus, SSRN; Springer SpringerLink, Web of Science). The results of the research are presented, which at the logistics position describing the usage of blockchain technology for electronic data interchange in multiple industries. In concluding the research, the authors present the research gaps discovered, major trends, most discussed industries and suggestions for future research.

Kinetic Solar Envelope: Performance Assessment of a Shape Memory Alloy-Based Autoreactive Façade System for Urban Heat Island Mitigation in Athens, Greece

The paper explores the potentials of shape memory alloys (SMAs) for the design of autoreactive façade systems without using additional external energy. The exploration is conducted and assessed through the design of a façade concept for the city of Athens in Greece, aiming to improve both the indoor and outdoor environment by means of a kinetic autoreactive system featuring a dual-seasonal function, with a focus on the building’s direct and indirect impact on the urban heat island (UHI) effect. The paper covers a demonstration of the methodology followed, using a feedback-loop logic informed by environmental and energy performance evaluation studies in Grasshopper to optimize the geometry and movement of the shading component. During the façade design process, a comprehensive and systematic computational toolset is being developed, targeted on the abovementioned performance evaluation studies. Through the development and assessment of the façade concept, the objective is to explore the potentials and limitations for the application of autoreactive envelopes in the façade design. At the same time, the aim is to exploit the possibilities and optimization potentials offered through the developed iterative computational workflows, by showcasing the methodology and interoperability logic of the digital tools used for the data interchange.

JSON Schemas with Semantic Annotations Supporting Data Translation

As service-oriented architectures are a solution for large distributed systems, interoperability between these systems, which are often heterogeneous, can be a challenge due to the different syntax and semantics of the exchanged messages or even different data interchange formats. This paper addresses the data interchange format and data interoperability issues between XML-based and JSON-based systems. It proposes novel annotation mechanisms to add semantic annotations and complement date values to JSON Schemas, enabling an interoperability approach for JSON-based systems that, until now, was only possible for XML-based systems. A set of algorithms supporting the translation from JSON Schema to XML Schema, JSON to XML, and XML to JSON is also proposed. These algorithms were implemented in an existing prototype tool, which now supports these systems’ interoperability through semantic compatibility verification and the automatic generation of translators.

Preliminary feasibility assessment of CDM-based active surveillance using current status of medical device data in medical records and OMOP-CDM

In recent years, there has been an emerging interest in the use of claims and electronic health record (EHR) data for evaluation of medical device safety and effectiveness. In Korea, national insurance electronic data interchange (EDI) code has been used as a medical device data source for common data model (CDM). This study performed a preliminary feasibility assessment of CDM-based vigilance. A cross-sectional study of target medical device data in EHR and CDM was conducted. A total of 155 medical devices were finally enrolled, with 58.7% of them having EDI codes. Femoral head prosthesis was selected as a focus group. It was registered in our institute with 11 EDI codes. However, only three EDI codes were converted to systematized nomenclature of medicine clinical terms concept. EDI code was matched in one-to-many (up to 104) with unique device identifier (UDI), including devices classified as different global medical device nomenclature. The use of UDI rather than EDI code as a medical device data source is recommended. We hope that this study will share the current state of medical device data recorded in the EHR and contribute to the introduction of CDM-based medical device vigilance by selecting appropriate medical device data sources.

Online Based Memorandum of Understanding (MOU) Data Exchange System Design with EDI Method

During the Covid 19 pandemic, every individual is required to be more creative in carrying out every activity and not make a distance as the reason an activity cannot be carried out. Documentation data, which is usually sent manually by post, will experience difficulties at this time. This research will discuss other ways that can be done to ensure the data exchange process of the Memorandum of Understanding (MOU) between PT. Bank XYZ with partners. The solution that can be implemented is to use the Electronic Data Interchange (EDI) method. EDI is an online-based data exchange method. In other words, the method of exchanging data via postal service is not necessary. Based on this research, the EDI method can meet users' needs in terms of exchanging or sending documentary data on the MOU between PT. Bank XYZ with partners. The method used in building this system design is analyzing the running system and designing the system with UML tools. The final result of the validation test of the system design through the FGD method states that the e-approval system application design of the MOU is by the specifications of the functional requirements required by the user.

PERAN DAN FUNGSI E-BISNIS DALAM BISNIS DIGITAL

“ PERAN DAN FUNGSI E-BISNIS DALAM BISNIS DIGITAL”Perkembangan e-commerce tidak terlepas dari laju pertumbuhan internet, karena e-commerce berjalan melalui jaringan dan koneksi internet. Pertumbuhan pengguna internet yang sedemikian pesatnya merupakan suatu kenyataan yang membuat internet menjadi salah satu media yang efektif bagi perusahaan maupun perseorangan untuk memperkenalkan dan menjual barang atau jasa kepada konsumen dari seluruh dunia.Sebagai suatu perdagangan yang berbasis teknologi canggih, e-commerce telah mereformasi perdagangan konvesional di mana interaksi antara konsumen dan perusahaan yang sebelumnya dilakukan secara langsung menjadi interaksi yang tidak langsung. E-Commerce telah merubah paradigma bisnis klasik dengan menumbuhkan model-model interaksi antara produsen dan konsumen di dunia virtual, dengan menggunakan media value chain: pembelian secara Elektronik (Electonic Purchasing) memudahkan pembelian tanpa perlu memakan waktu lama.Industri teknologi informasi melihat kegiatan e-bisnis ini sebagai aplikasi dan penerapan dari e-business yang berkaitan dengan transaksi komersil, seperti: transfer dana elektronik , SCM (supply chain management), e-marketing, pemrosesan transaksi online (online transaction processing), serta pertukaran data elektronik (electronic data interchange/ EDI),dll.E-commerce merupakan model bisnis modern non-fice (tidak menghadirkan pelaku bisnis secara fisik), dan non sign (tidak memakai tanda tangan asli). Sistem perdagangan yang dipakai dalam e-commerce dirancang untuk menandatangani secara elektronik. Penandatanganan elektronik dirancang mulai dari saat pembelian, pemeriksaan dan pengiriman. Karena itu ketersedian informasi yang benar dan akurat mengenai konsumen dan perusahaan dalam e-commerce merupakan suatu persyaratan multak.

Use of Intuitionistic Fuzzy Numbers in Survey Sampling Analysis with Application in Electronic Data Interchange

The validity of survey sampling depends on how precise the data is. The validity reduces when questionnaire contains linguistic variables and respondent has to answer in zero or one. The ambiguity in the respondent’s mind can be minimized by getting a response in an intuitionistic fuzzy sense. In this study, we proposed intuitionistic fuzzy aggregative investment benefit rate to select the best manufacturing facility location, where respondents expressed both membership function and nonmembership function for linguistic variables, with some hesitancy level, and give significant improvement over the fuzzy assessment method. The proposed methodology is also verified at different hesitancy levels and recommended to use a small hesitancy level. Real-life example of the use of electronic data interchange (EDI) in Pakistan’s different fields, such as business, commerce, transport, airlines, warehousing, and logistic and delivery industry, is used to support the proposed methodology. Thus, an intuitionistic fuzzy rate reduces the cost, time, and effort of survey sampling instead of taking and analyzing responses from large samples.