Implementation Of Web Services Research Articles

Protein structure accuracy estimation using geometry-complete perceptron networks.

Estimating the accuracy of protein structural models is a critical task in protein bioinformatics. The need for robust methods in the estimation of protein model accuracy (EMA) is prevalent in the field of protein structure prediction, where computationally-predicted structures need to be screened rapidly for the reliability of the positions predicted for each of their amino acid residues and their overall quality. Current methods proposed for EMA are either coupled tightly to existing protein structure prediction methods or evaluate protein structures without sufficiently leveraging the rich, geometric information available in such structures to guide accuracy estimation. In this work, we propose a geometric message passing neural network referred to as the geometry-complete perceptron network for protein structure EMA (GCPNet-EMA), where we demonstrate through rigorous computational benchmarks that GCPNet-EMA's accuracy estimations are 47% faster and more than 10% (6%) more correlated with ground-truth measures of per-residue (per-target) structural accuracy compared to baseline state-of-the-art methods for tertiary (multimer) structure EMA including AlphaFold 2. The source code and data for GCPNet-EMA are available on GitHub, and a public web server implementation is freely available.

A New Approach for Product Quality Check Based on Social Networks Opinions Analysis

In this paper, we aim to enhance the relevance of e-commerce web sites by a prior quality checking of proposed products. This checking is done by analyzing social networks and YouTube videos comments.
 To achieve this objective, we have broken down the work into a few steps. The first one consists in scraping text from social networks groups and storing it in a NoSQL graph database. Each scraped word is linked to one or many reactions that are coming from the social network. Therefore, we can utilize the database as a knowledge source that associates each set of terms with a specific type of reaction: positive, negative or neutral. Afterwards, we use a TF-IDF based filtering method to keep only relevant words and eliminate those which are a connected to all reactions. The advantage of this stage is the presence of a knowledge source that can be used for product quality checking.
 In the e-commerce web site, data are coming from multiple e-commerce websites. The latter, offer products without quality checking. Concretely, we aim to allow users to check quality by a simple check button which call an implemented web service using human reactions and comments. After evaluating our approach, we have obtained an accuracy of 0,75. This result means that our method gives a three quarter of chance to have a good product.

The First Quarter Century of the Dense Alignment Surface Transmembrane Prediction Method.

The dense alignment surface (DAS) transmembrane (TM) prediction method was first published more than 25 years ago. DAS was the one of the earliest tools to discriminate TM proteins from globular ones and to predict the sequence positions of TM helices in proteins with high accuracy from their amino acid sequence alone. The algorithmic improvements that followed in 2002 (DAS-TMfilter) made it one of the best performing tools among those relying on local sequence information for TM prediction. Since then, many more experimental data about membrane proteins (including thousands of 3D structures of membrane proteins) have accumulated but there has been no significant improvement concerning performance in the area of TM helix prediction tools. Here, we report a new implementation of the DAS-TMfilter prediction web server. We reevaluated the performance of the method using a five-times-larger, updated test dataset. We found that the method performs at essentially the same accuracy as the original even without any change to the parametrization of the program despite the much larger dataset. Thus, the approach captures the physico-chemistry of TM helices well, essentially solving this scientific problem.

GPS기반 콜드체인 물류 추적 관제센터 웹서버구축에 관한 연구

GPS기반 콜드체인 물류 추적 관제센터 웹서버구축에 관한 연구

Prevention of multiple whole blood donations by an individual at the same month through the creation of a national Deferred Donor Registry (DDR)

IntroductionThe Colombian National Institute of Health administers the National Information System of Haemovigilance (SIHEVI-INS). Today, SIHEVI-INS constitutes a national blood donor and recipient database, which contains a national deferred donor registry (DDR), allowing blood banks to take acceptance or rejection decisions of a potential donor in real time. The study aimed to determine the rate of people who have made more than one whole blood donation monthly in Colombia, violating the national guideline of intervals between donations (three months for men and four for women), since DDR implementation. MethodsWe detected the unique personal identification number of people who, in 30 calendar days, made more than one whole blood donation at any of the 83 blood banks set up in Colombia. There were three comparison periods: 01/01/2018–08/31/2019 (launch of SIHEVI-INS and first national feedback); 09/01/2019–12/31/2020 (second feedback) and 01/01/2021–09/30/2022 (massive incorporation of web services). ResultsFor the first period, blood banks accepted 18.0 donations per 1000 people. There was a rate of 28.8 people/10,000 donations who had donated whole blood twice within 30 days. In the second period, there were 17.0 donations/1000 people and a rate of 2.1 people/10,000 donations (OR:14.0 CI95 %:12.2–16.0). For the last period, there were 18.2 donations/1000 people and a rate of 0.9 individuals/10,000 donations (OR:31.3 CI95 %:26.6–36.9, p < 0.001). ConclusionDDR reduced by 31 times the acceptance of blood donors who made more than one whole blood donation in the same month. It was necessary to provide periodic feedback and promote web service implementation to reduce this risky behavior.

AUTOMATE DEPLOYMENT APLIKASI WEB MENGGUNAKAN METODE GITOPS PADA KUBERNETES CLUSTER (STUDI KASUS: WEB RISET INFORMATIKA UNIVERSITAS MUHAMMADIYAH MALANG)

The increase in internet users requires web services to have High Availability, which is the ability of web services to serve users and reduce downtime in the shortest possible time. One of the factors that can increase downtime is during the deployment process. Repetitive and manual deployment processes will be very vulnerable to human errors which will have an impact on downtime. On Informatics research website of the Muhammadiyah University of Malang is still implementing web services without using automation in deployment and also not using web containerization. In this study, the researcher designed a server environment that supports the two previously mentioned, by implementing Jenkins server as a CI/CD tool, cluster kubernetes as an orchestration container, and Github as a repository that supports the GitOps method, as a source of truth. This study tested 4 Informatics research website of the Muhammadiyah University of Malangg in automate deployment and got an average time of 126.74 seconds to build, push, and deploy

Implementation of Pddikti Neo Feeder Web Service in Recording of Independent Campus Activities

Independent Learning-Independent Campus Program (MBKM) is a policy of granting the right for students to be able to take study activities outside the study program as many as three semesters with the division of two semesters of study outside the college and one semester in different study programs in one college. As well as teaching and learning activities, universities must report Independent Learning-Independent Campus activities to DIKTI every semester through the Neo Feeder PDDIKTI application. The Neo Feeder PDDIKTI application has a feature to enter the activities the operator will carry out. The operator enters this data individually on the Neo Feeder PDDIKTI application. This is a significant problem because the data entry process will take quite a lot of time, even though PDDIKTI has provided web service access to universities to optimize the data reporting process using the Neo Feeder PDDIKTI application. Building an application that can be used for recording MBKM activities by utilizing web services provided by PDDIKTI is the primary purpose of this study. The development of an application certainly requires a method as a framework or guide in facilitating the manufacturing process. The extreme Programming (XP) method becomes essential for applications with variable or non-fixed needs. This method has four working elements: planning, designing, coding, testing and software increment. The output generated by this study is an application for recording MBKM activities that use web service restful API technology so that data entry can be done en masse and not one by one.

Implementation of Web Service Fingerprint Attendance Machine on Employee Attendance Information System

The OKI District Population and Civil Registration Service have implemented the employee attendance information system by utilizing a fingerprint machine. This system is quite helpful in recording employee attendance properly. However, several obstacles are found in the implementation of the system. Namely, calculating the attendance percentage is still done manually because the data must be further processed using additional applications. Based on these obstacles, this study aims to implement web service technology using the protocol SOAP to integrate the system currently used. The system will automatically download fingerprint machine data and process it into attendance percentage reports, so that it can be more optimal and increase efficiency. The data obtained will be used by the staffing department, including one of the factors for measuring employee performance and determining Additional Employee Income (TPP).

DESIGN AND SOFTWARE IMPLEMENTATION OF A KNOWLEDGE EXCHANGE WEB SERVICE

The article analyzes the problem of system development and implementation of a knowledge sharing web service. The purpose of the article is to research the possibilities of current technologies used in the process of designing and software implementation of a knowledge exchange web service. The methods of developing the designed software product were analyzed. The paper considers the purpose of a web service for knowledge exchange, taking into account the definition of the target audience of the developed product. Web technologies for software development are selected and substantiated by the authors. The proposed structure of the knowledge sharing web service.

Method for developing and modelling composite web-services

The article describes a method for developing and modelling composite web-services. Web-service composition is used to derive new functionality from the interaction of existing web-services. Composite web-services are built in several stages: specifications (determining the type of service); development of the structure of the service based on the algebra of services; service composition modelling; selecting a service variant and generating a service. The main elements of the proposed approach are the algebra of services and web-services interaction models (basic and composite). The above approach formally presents the consideration of the main aspects in solving problems related to the construction of effective composite web-services and the selection of mathematical models, namely: description of web-services, determining the structure of web-services, taking into account the dynamics of information changes, taking into account the main uncertainties in building the structure web-services. Based on the approach, a method for constructing composite web-services has been developed. The method is based on an algebraic description of a web-service based on a specialized algebra of services. The method consists of the following steps: description of the task of developing a web-service; development of the structure of a web service based on the algebra of services; formal description of the structure and clarification of service operations; building models of functioning and interaction of service components; building simulation models of the composite service; defining the final structure of the composite service; web-service implementation. The main tool for describing composite services is the algebra of services, and the model building tool is colouredPetri nets implemented using СPN Tools. As an example of the application of the developed method, the construction of a pharmaceutical service is described, in which the modellingof the interaction of web-services based on Petri nets is used. The process of building a composite model of a web-service is considered. The process begins with building a pharmaceutical web-service model structure based on the service algebra. Based on the service algebra, operators were developed to implement composite services. The structure of the model is developed, which is presented in the form of a formal description. The process of building pharmaceutical service models in the СPN Tools environment is described in detail.

COYOTE: Sequence-derived structural descriptors-based computational identification of glycoproteins.

Glycoproteins play an important and ubiquitous role in many biological processes such as protein folding, cell-to-cell signaling, invading microorganism infection, tumor metastasis, and leukocyte trafficking. The key mechanism of glycoproteins must be revealed to model and refine glycosylated protein recognition, which will eventually assist in the design and discovery of carbohydrate-derived therapeutics. Experimental procedures involving wet-lab experiments to reveal glycoproteins are very time-consuming, laborious, and highly costly. However, costly and tedious experimental procedures can be assisted by ranking the most probable glycoproteins through computational methods with improved accuracy. In this study, we have proposed a novel machine learning-based predictive model for glycoproteins identification. Our proposed model is based on sequence-derived structural descriptors (SDSD) that fill the gap of unavailability of protein 3D structures and lack of accuracy in sequence information alone. Through a series of simulation studies, we have shown that our proposed model gives state-of-the-art generalization performance verified through various machine learning-centric and biologically relevant techniques and metrics. Through data mining in this study, we have also identified the role of descriptors in determining glycoproteins. Python-based standalone code together with a webserver implementation of our proposed model (COYOTE: identifiCation Of glYcoprOteins Through sEquences) is available at the URL: https://sites.google.com/view/wajidarshad/software.

Fission chamber data acquisition system for neutron flux measurements on the Mega-Amp Spherical Tokamak Upgrade.

Neutron flux measurements are important in fusion devices for both safety requirements and physics studies. A new system has been built for the Mega-Amp Spherical Tokamak Upgrade (MAST Upgrade) that provides neutron count, DC, and Campbell mode measurements for a 1 µs period at 1MHz. The acquisition system uses a Red Pitaya board to sample current from two fission chambers mounted on the side of the MAST-U vessel. The system-on-chip design of the Zynq-7020 on the Red Pitaya also allows a web server implementation using Flask for data retrieval and diagnostic configuration over the MAST Upgrade network.

Statistical Assessment of The Implementation of Socio-Economic Development Strategies of The Republic of Uzbekistan in the Context of Digital Transformation

Purpose of the study. The main purpose of the article is to conduct a statistical assessment of the implementation of strategies for the socio-economic development of the Republic of Uzbekistan using an innovative methodology based on the use of digital technological solutions.Materials and methods. In the course of writing this article, the authors used the methods of system analysis, synthesis, statistical sampling and grouping, induction, deduction, methods of working with computer networks and digital platforms, special methods and tools necessary to optimize the work of the portal of the State Committee of the Republic of Uzbekistan on Statistics, as well as when working on this article, methods of working with digital technologies, specialized software products, web services were reflected.Results. The authors present the main technological approaches to conducting a statistical assessment of the activities of industries and spheres of the national economy of the Republic of Uzbekistan based on the use of digital mechanisms. New scientific approaches to the integration of statistical activities with other objects of the national economy in the context of digital transformation are proposed, the main directions for organizing the interaction of the statistical industry with economic objects within the framework of the National Program “Digital Uzbekistan – 2030” are identified. It is shown that in the modern period in the Republic of Uzbekistan a whole range of government decisions has been adopted on the comprehensive development of the country’s economic system based on the use of digital technologies. In addition, the article proves that the development of digital infrastructure is one of the determining conditions for increasing the competitiveness of the state on the world stage. At the same time, digital transformation contributes to the development of new methodological solutions for assessing the functioning of industries and spheres of the national economy. Scientific studies conducted by the authors state that due to the use of advanced information and digital technologies, innovative mechanisms for collecting and processing information flows, the statistical assessment of the implementation of a whole range of strategies for the development of the socio-economic complex is more open and transparent, which in turn allows you to make competent manage-ment decisions for the effective development of industries and areas of the national economy.Conclusion. This paper shows that the development and widespread use of digital technologies in all sectors of the economy and spheres of society today is a global trend in world development. The authors also state that the use of digital technological solutions is crucial for improving the living standards of citizens and the competitiveness of the national economy, expanding the possibilities of its integration into the global economic system, and increasing the efficiency of all levels of government. In turn, a statistical assessment of the results of the implementa-tion of the main provisions of the republican strategies for socio-economic development in the context of the formation of a digital economy shows that innovative approaches, developed and implemented information systems, web services and advanced technological solutions are fundamental elements for organizing an effective work on the processing of statistical information and the adoption of managerial decisions on the organization of the effective functioning of industries and spheres of the national economy.

Implementation of Asynchronous Microservices Architecture on Smart Village Application

This paper discusses the implementation of microservices architecture in smart village applications. The smart village application is a village-based online marketplace that facilitates various business actors' buying and selling process in a village. This application manages five types of products: lodging reservations, tourist attraction tickets, culinary purchases, and purchasing knick-knacks show tickets. The complexity of processes, data, and high potential users requires that the system architecture is designed to produce a scalable, fault-tolerant system and easy to develop. Microservices architecture is one of the recommended architectures for building a scalable, fault-tolerant, and maintainable application. This architecture has several variations, ranging from variations in communication between services to the technology used. The suitability of applications with architectural variations and the complexity is a challenge in implementing this architecture. This paper describes how to implement the microservices architecture in smart village applications. Design and implementation of the microservices architecture in the smart village application was followed the WSIM or Web Services Implementation Methodology stage. The implementation results show that the application is easier to manage because it is divided into independent microservices. Implementing asynchronous communication and a choreographic approach to each service makes the client application response faster; besides, it did not affect other services if there is a problematic service.

A Comparative Evaluation of Edge Cloud Virtualization Technologies

Edge cloud computing is a crucial enabler for applications or network services with stringent communication requirements in the 5G networks and beyond era. Although edge compute resources contribute to a significant portion of end-to-end performance (e.g., delay), the involved performance trade-offs in relation to the utilized virtualization technologies and application functions are not yet thoroughly investigated. In this context, we study the performance dynamics of alternative edge cloud technologies, including different unikernel flavors, container builds, and implementations of exemplary Web services. Our experiments do not target identifying a single best option, rather than the involved performance trade-offs with respect to both service and infrastructure viewpoints as well as realistic edge cloud tasks, including on service operation, cloud resource or service elasticity, dynamic resource allocation and removal. We provide insights gained from a relevant extensive comparative evaluation based on a novel edge cloud experimentation infrastructure. Our experimental results inspired a conceptual edge cloud orchestration platform and its basic design guidelines, i.e., mixing and matching heterogeneous edge cloud virtual entities with particular operational or performance requirements.

Implementation of a RESTful Web Service with JSON Web Token Authentication and AES-256 Cryptographic Algorithm for Mobile-Based Laboratory Loan Applications at Budi Luhur University

Leasing the lab room is one of the services provided by the Integrated ICT LAB for every citizen of the Budiluhur University campus. So far in the process of borrowing the computer laboratory, the borrower must come directly to the Integrated ICT LAB or use social networks such as WhatsApp to communicate in two directions in making loans lab. This is not effective enough to serve borrowers who are usually lecturers. In the process of borrowing the lab, there are many problems, for example, the collision between lecture schedule and lecturer activity units, student activity units and other activities that require laboratory facilities. Seeing this problem, an application is needed to facilitate lab borrowing and coordination to the mobile-based ICT LAB Assistant. Meanwhile, for integration with existing systems a web service is required as a backend system so that lab lending services can be accessed by various platforms. The architecture used in the web service uses the RESTFUL API (Application Programming Interface), but there are still some problems with the RESTFUL API, namely regarding security in the process of authentication and data encryption on borrower data. In the REST architecture, a security method is needed, namely using the JSON Web Token and the Advanced Encryption Standard-256 (AES-256) cryptographic method. On the Web Services client side that provides requests and receives responses from the server then a token will be generated for the user which becomes plain data to be encrypted then saved to the database, and pulls the cipher data to be decrypted and returned to the calling application so that it can make transactions between platforms

SIP: A computational prediction of S-Adenosyl methionine (SAM) interacting proteins and their interaction sites through primary structures

S-Adenosyl methionine (SAM), a universal methyl group donor, plays a vital role in biosynthesis and acts as an inhibitor to many enzymes. Due to protein interaction-dependent biological role, SAM has become a favorite target in various therapeutical and clinical studies such as treating cancer, Alzheimer’s, epilepsy, and neurological disorders. Therefore, the identification of the SAM interacting proteins and their interaction sites is a biologically significant problem. However, wet-lab techniques, though accurate, to identify SAM interactions and interaction sites are tedious and costly. Therefore, efficient and accurate computational methods for this purpose are vital to the design and assist such wet-lab experiments. In this study, we present machine learning-based models to predict SAM interacting proteins and their interaction sites by using only primary structures of proteins. Here we modeled SAM interaction prediction through whole protein sequence features along with different classifiers. Whereas, we modeled SAM interaction site prediction through overlapping sequence windows and ranking with multiple instance learning that allows handling imprecisely annotated SAM interaction sites. Through a series of simulation studies along with biological significant evaluation, we showed that our proposed models give a state-of-the-art performance for both SAM interaction and interaction site prediction. Through data mining in this study, we have also identified various characteristics of amino acid sub-sequences and their relative position to effectively locate interaction sites in a SAM interacting protein. Python code for training and evaluating our proposed models together with a webserver implementation as SIP (Sam Interaction Predictor) is available at the URL: https://sites.google.com/view/wajidarshad/software.

DESAIN DAN IMPLEMENTASI RESTful WEB SERVICES UNTUK INTEGRASI DATA DAN APLIKASI

Industry (business) in the culinary field in Indonesia is a business that is experiencing very rapid growth. Improving the quality of service in a business will have implications for the maximum profit obtained. The right technology to connect various platforms is web services. Geprek Chicken Dinner management uses two different applications for its business processes. This of course hampers business processes and requires time and energy which causes business processes to be not optimal. Therefore, the purpose of research on the design and implementation of RESTful web services at Geprek Chicken Dinner. This research produces RESTful web services applications with access token and API key features as a security system with extreme programming development methods. the black box method involves auditors and IT experts getting successful conclusions from various types of tests. This application is expected to be able to serve as a base for all processed data and as a liaison between applications that will be used by management, so that the applications used are integrated with each other.

SCARF: a biomedical association rule finding webserver.

The analysis of enormous datasets with missing data entries is a standard task in biological and medical data processing. Large-scale, multi-institution clinical studies are the typical examples of such datasets. These sets make possible the search for multi-parametric relations since from the plenty of the data one is likely to find a satisfying number of subjects with the required parameter ensembles. Specifically, finding combinatorial biomarkers for some given condition also needs a very large dataset to analyze. For fast and automatic multi-parametric relation discovery association-rule finding tools are used for more than two decades in the data-mining community. Here we present the SCARF webserver for generalized association rule mining. Association rules are of the form: a AND b AND … AND x → y, meaning that the presence of properties a AND b AND … AND x implies property y; our algorithm finds generalized association rules, since it also finds logical disjunctions (i.e., ORs) at the left-hand side, allowing the discovery of more complex rules in a more compressed form in the database. This feature also helps reducing the typically very large result-tables of such studies, since allowing ORs in the left-hand side of a single rule could include dozens of classical rules. The capabilities of the SCARF algorithm were demonstrated in mining the Alzheimer’s database of the Coalition Against Major Diseases (CAMD) in our recent publication (Archives of Gerontology and Geriatrics Vol. 73, pp. 300–307, 2017). Here we describe the webserver implementation of the algorithm.

Implementation of Microservices Architecture in Learning Management System E-Course Using Web Service Method

&#x0D; &#x0D; &#x0D; Building a learning system using the Learning Management System is already too much but there are many problems that make people think about using it because it is difficult to maintain the system, so to build a system takes a lot of time because the basis for developing the system is monolith-based and difficult to develop if the system development team grows or change. Learning Management System needs to be implemented for easy access to learning because online learning is very important to be a good alternative. From these problems led to the idea to create a Learning Management System in which it can solve services and communicate between services to facilitate efficient development. This study aims to apply the Web Service Implementation Methodology used in building a Learning Management System for an E-Course that facilitates online learning by implementing web services. To perform inter-service solving the methodology used in making this application is the web service method which is implemented on the microservices architecture. Programming languages for differentiating services are PHP and JavaScript. For the user interface, ReactJS is used as the API data manager for each service and the database uses MySQL. This application will later be used as a medium to facilitate online learning, there are members (users) as student actors and admins to manage mentor and course data that will be displayed.&#x0D; &#x0D; &#x0D;