Scalable in situ single-cell profiling by electrophoretic capture of mRNA

Methods to spatially profile the transcriptome are dominated by a trade-off between resolution and throughput. Here, we developed a method named EEL FISH that can rapidly process large tissue samples without compromising spatial resolution. By electrophoretically transferring RNA from a tissue section onto a capture surface, EEL speeds up data acquisition by reducing the amount of imaging needed, while ensuring that RNA molecules move straight down towards the surface, preserving single-cell resolution. We applied EEL on eight entire sagittal sections of the mouse brain and measured the expression patterns of up to 440 genes to reveal complex tissue organisation. Moreover, EEL enabled the study of challenging human samples by removing autofluorescent lipofuscin, so that we could study the spatial transcriptome of the human visual cortex. We provide full hardware specification, all protocols and complete software for instrument control, image processing, data analysis and visualization.

ANALISIS KESALAHAN BAHASA INDONESIA YANG ADA DI SEKITAR ANDA SPANDUK

The aim is to find out the writing on the banner to get pictures or photos on the banner to see in this case which vocabulary and sentences are wrong on the banner and to get information that can be processed as material for making scientific articles, which consists of the basic theory of the language used is far from the norm. This case is caused by the lack of public understanding of language and writing in the use of words according to the KBBI which uses vocabulary and is structured in sentences. In producing data sources obtained from the surrounding environment to be able to take data such as interviews with people who are responsive around the environment to obtain accurate data as material for scientific works. The perfection and correctness of linguistic basics in language use errors were found around the banner, from the results of research in the use of descriptive methods in language use errors found in research as objects and research subjects on banners in data recording is observed in case studies used in writing the results of the study indicate that the writing on the banner uses informal language in the form of various written languages ​​depending on the inappropriate writing style. According to the rules. From the results of the study, it was found that there was a lot of error information on language users on banners in grouping sentences and vocabulary based on factual information in processing data as an object of analysis in solving Indonesian.

Application of Data Mining Technology Based on Data Center

Data mining technology refers to the use of mathematics, statistics, computer science and other methods to process a large amount of information to obtain useful conclusions and provide valuable decisions for people. With the rapid development and popularization of the Internet era and the more and more extensive application of computers in various fields, data mining technology has become a hot research field in today’s society. Based on the data center, this paper studies the data mining technology. Firstly, this paper expounds the definition of data mining, and studies the process of data mining and the steps of processing data. Then, this paper also designs and studies the framework of data mining, and tests the performance of the algorithm. Finally, the test results show that data mining technology can well meet the target requirements.

AVAILABILITY AND COMPARISON OF DATA FROM SENTINEL-1 SATELLITES IN AREAS OF INTEREST IN THE CZECH REPUBLIC AND SUDAN

The article is focused on the methodology of processing interferometric images and associated challenges with the processing. The article also contains useful links with explanations that can be used for processing data from the Sentinel-1 satellite. To emphasize the data limits of Sentinel-1, several areas of interest were chosen for comparison – in the home environment of the Czech Republic, the Bílina quarry area, and the Žatec area were selected. For subsequent comparison, arid areas with a rich history located in Sudan were selected. The colleagues of the author from the Faculty of The Environment of Jan Evangelista Purkyně University participate in expeditions there. Each of these locations is limited by different parameters – the areas in the Czech Republic are mainly limited by location because of occurring vegetation. Sudan's regions, on the other hand, are arid but are limited by insufficient coverage by capturing the Sentinel-1 satellite. To create digital height models from Sentinel-1 satellite data, it is necessary to search for data with sufficient coherence of images, and parameters of the amount of vegetation with a period between individual images play an important role. The areas were compared with each other and with the commonly available SRTM elevation model, both from a visual point of view – where digital height models and shaded surface models were created, as well as statistically using RMSE.

BFT in Blockchains: From Protocols to Use Cases

A blockchain is a distributed system that achieves strong security guarantees in storing, managing, and processing data. All blockchains achieve a common goal: building a decentralized system that provides a trustworthy service in an untrustworthy environment. A blockchain builds a Byzantine fault-tolerant system where decentralized nodes run a protocol to reach an agreement on the common system state. In this article, we focus on the research of BFT protocols. In particular, we categorize BFT protocols according to both the system models and workflow. We seek to answer a few important questions: How has the research in BFT evolved in the past four decades, especially with the rise of blockchains? What are the driven needs for BFT research in the future?

Sistem Informasi Absensi Kepegawaian Berbasis WEB Pada PT. Prada Bangun Persada

PT. Prada Bangun Persada is a branch company that has a headoffice in the Jakarta area which is engaged in the field of SportsEquipment which has staff that must be managed properly. In thismanagement, the company makes an annual performance report,one of which contains a report on staffing. PT. Prada BangunPersada has several sections in the organizational structure, one ofwhich is the general responsibility section and the finance section.The general responsibility department and the finance department inthis company do not yet have an efficient personnel informationsystem application and are still processing data manually, resultingin various obstacles. Constraints experienced by the general personin charge are still using paper forms in making employee data andsubmitting employee letters so that they are less efficient and alwaysprovide paper forms. Then the storage of these letters still uses theirrespective folders based on the type of letter so that it is difficult toaccess and search for employee data and it is not safe if the storageis still using a folder and sometimes its validation is not handledproperly. Then in the finance department in the employee payrollprocess, which still calculates and saves with Microsoft excel formatfiles which causes low security and confidentiality of employeepayroll data at risk of file damage if exposed to a virus andemployees can easily access the file. This Personnel InformationSystem uses a 2-step method. First, the data collection method wascarried out in three ways, namely the observation method, theinterview method and the literature study. Second, the systemdevelopment method that will be used is the waterfall systemdevelopment method, and uses UML (Unified Modeling Language)notation as tools.

Improving business efficiency: The contribution of the latest digital technologies

The global trend of the current decade is the «digitalization of the economy», which means the introduction of digital technologies into economic activity. Digital technologies used in the economy primarily include information and communication (information-computer) technologies, which are used to build information systems at various stages of the product life cycle. Such systems perform the tasks of collecting, transmitting and processing data coming from the production, distribution, exchange and consumption of products. A brief look at digital technologies used in modern industry.

AN OVERVIEW OF BIG DATA IN COVID-19 AS A CONTRIBUTION TO THE MANAGEMENT OF SCIENTIFIC AND TECHNOLOGICAL KNOWLEDGE

In times of pandemic, rapid sharing of research data is urgently needed, as is the intensification of networking. The COVID-19 pandemic brought a new perspective in relation to knowledge management in various organizational means, whether through the search for innovation or the improvement of its processes. Thus, to calculate the state of the art and track scientific and technological knowledge in the COVID-19 spectrum, the keyword “Coronavir*” was used in the PubMed and Espacenet databases. Data were processed by Carrot Search Lingo4G® and PatentInspiration®. In the Pubmed database, 1,000 documents were retrieved, which were organized into 81 groups of sub-themes, with emphasis on the sub-theme “treatment during coronavirus disease”, with 188 articles (18.8% of the total). Regarding technological innovation, China and the United States were the countries that filed the most patent applications, especially in 2020 and 2021, corresponding to 68.5% of the total. The first 4 (four) applicants with the highest number of patents were Pfizer, Gilead Sciences Inc., Center Nat Rech, Crucell Holland. The results obtained over a period of time demonstrate a partnership between universities and companies towards the fight against the pandemic. The tools for identifying, extracting and processing data (or free), are needed efficiently in the management of scientific and technological knowledge in COVID -19, thus being able to contribute to more assertive decision-making at various organizational levels. Keywords: Big Data, COVID-19, Knowledge Management, coronavirus patents

Learning Data Correction for Myoelectric Hand Based on “Survival of the Fittest”

In recent years, myoelectric hands have become multi-degree-of-freedom (DOF) devices, which are controlled via machine learning methods. However, currently, learning data for myoelectric hands are gathered manually and thus tend to be of low quality. Moreover, in the case of infants, gathering accurate learning data is nearly impossible because of the difficulty of communicating with them. Therefore, a method that automatically corrects errors in the learning data is necessary. Myoelectric hands are wearable robots and thus have volumetric and weight constraints that make it infeasible to store large amounts of data or apply complex processing methods. Compared with general machine learning methods such as image processing, those for myoelectric hands have limitations on the data storage, although the amount of data to be processed is quite large. If we can use this huge amount of processing data to correct the learning data without storing the processing data, the machine learning performance is expected to improve. We then propose a method for correcting the learning data through utilisation of the signals acquired during the use of the myoelectric hand. The proposed method is inspired by “survival of the fittest.” The effectiveness of the method was verified through offline analysis. The method reduced the amount of learning data and learning time by approximately a factor of 10 while maintaining classification rates. The classification rates improved for one participant but slightly deteriorated on average among all participants. To solve this problem, verifying the method via interactive learning will be necessary in the future.

Analisis Penerapan E-Filling Dimasa Pandemi Covid 19 Sebagai Upaya Meningkatkan Kepatuhan Wajib Pajak Orang Pribadi

The purpose of this research is to determine the application of e-filling during the pandemic in increasing individual taxpayer compliance in submitting annual tax. The data analysis technique used in this study is a qualitative descriptive analysis method, namely by collecting data, processing data, analyzing data, conclude and providing interpretation. The results of the study are Tax Service Office in West Mataram in implementing e-filling during the covid 19 pandemic has been in accordance with the procedures based on tax laws and regulations on tax administration. The implementation of social distancing during the COVID-19 pandemic is one of the obstacles in disseminating the form of tax annual reports to taxpayers through e-filling. The compliance of individual taxpayers during the COVID-19 pandemic in reporting annual tax through e-filing is more constrained because individual taxpayers mostly report annual tax at the end of the reporting deadline, not all taxpayers understand technology such as computers, internet access and email, lack of knowledge of individual taxpayers in filling out annual tax report online so that there are many errors in filling out annual tax report. The network system on the website of the Directorate General of Taxes is often disrupted due to too many individual taxpayers accessing the website in the month of the annual tax report.