Reviewerly/exHarmony huggingface dataset:
Hacking the SEAMs: Elevating Digital Autonomy and Agency for Humans

The time has come to challenge the predominant controlling paradigm of the World Wide Web. We need to replace controlling “SEAMs” with empowering “HAACS.”Over the past two decades, Web platform ecosystems have been employing the SEAMs paradigm – Surveil users, Extract data, Analyze for insights, and Manipulate for impact. The SEAMs paradigm is embedded as reinforcing feedback cycles in computational systems that mediate, and seek to control, aspects of human experience.Fronting that SEAMs paradigm are unbalanced multisided platforms (treating patrons as mere users), Institutional AIs (consequential and inscrutable decision engines), and asymmetrical interfaces (one-way device “screens,” environmental “scenes,” and bureaucratic “unseens”). Behind all this tech, SEAMs-based feedback cycles continually import reams of personal data, and export concerted attempts to influence users.While holding accountable these Web platform ecosystems is absolutely necessary work, by itself it does not engender true systems change. The approach suggested here is to challenge, and eventually replace, the underlying SEAMs paradigm itself with a far more human-centric one.The proposed HAACS paradigm is premised on a different approach – human autonomy and agency, via computational systems. Rather than feed controlling tech systems, the HAACS paradigm supports new ecosystems that empower ordinary human beings. This means building institutions, governance frameworks, and technologies that:• Enhance and promote human autonomy (thought) and agency (action);• Conceptualize personal data as flows of digital lifestreams, managed by individuals and communities as stewards under commons and fiduciary law- based governance;• Introduce trustworthy entities, such as digital fiduciaries, to help manage individual and collective digital interactions;• Create Personal AIs, digital agents that represent the human being vis-a-vis Institutional AIs operated by corporate and governmental interests; and• Craft symmetrical interfaces that allow humans to directly engage with, and challenge, controlling computational systems.Put more simply, these proposals translate into two compact terms: the human governance formula of D>=A (our digital rights should equal, if not exceed, our analog rights), and the technology design principle of e2a (edge-to-all).While the Age of Data remains in its infancy, time is growing short to challenge its many underlying assumptions. The proposed new HAACS paradigm represents one such opportunity. HAACS relies on design thinking precepts, and embraces a holistic, collaborative, systems-informed approach. Some real-world proposals in Appendix A leverage multiple ecosystem-building opportunities simultaneously across technology, market, policy, and social environments.
Penentuan Lokasi Lahan dengan Sistem Pendukung Keputusan Kriteria Jamak Berbasis Sistem Informasi Geografis

Searching for appropriate land for a specific purpose is important, especially in a city. Some studies used multicriteria analysis searching for the best location, such as AHP, ANP, SAW, etc. However, the study usually uses some statistical methods that need more processing for the end-users. This study uses a Geographic Information System (GIS) to implement the multicriteria analysis for searching the proper land use location, especially for business and education in Bekasi City, West Java, Indonesia. Same layers for analysis were created using ArcGIS 10.1, including pollution, road, flood risk, open space/park, lake and recreation area, and land price. The weight-overlay method was used as a multicriteria method. The result showed the three regions for business and education, i.e. high, medium, and low suitability. The conversion from the region into administrative boundary is generated in order easy for local land-use planners to implement their plans.
IoT and Blockchain: Challenges and Risks

Blockchain is an emerging technology that can radically improve transactions security at banking, supply chain, and other transaction networks. It's estimated that Blockchain will generate $3.1 trillion in new business value by 2030. Essentially, it provides the basis for a dynamic distributed ledger that can be applied to save time when recording transactions between parties, remove costs associated with intermediaries, and reduce risks of fraud and tampering. This book explores the fundamentals and applications of Blockchain technology. Readers will learn about the decentralized peer-to-peer network, distributed ledger, and the trust model that defines Blockchain technology. They will also be introduced to the basic components of Blockchain (transaction, block, block header, and the chain), its operations (hashing, verification, validation, and consensus model), underlying algorithms, and essentials of trust (hard fork and soft fork). Private and public Blockchain networks similar to Bitcoin and Ethereum will be introduced, as will concepts of Smart Contracts, Proof of Work and Proof of Stack, and cryptocurrency including Facebook's Libra will be elucidated. Also, the book will address the relationship between Blockchain technology, Internet of Things (IoT), Artificial Intelligence (AI), Cybersecurity, Digital Transformation and Quantum Computing. Readers will understand the inner workings and applications of this disruptive technology and its potential impact on all aspects of the business world and society. A look at the future trends of Blockchain Technology will be presented in the book.
Structure-preserving extremely low light image enhancement with fractional order differential mask guidance.

Low visibility and high-level noise are two challenges for low-light image enhancement. In this paper, by introducing fractional order differential, we propose an end-to-end conditional generative adversarial network(GAN) to solve those two problems. For the problem of low visibility, we set up a global discriminator to improve the overall reconstruction quality and restore brightness information. For the high-level noise problem, we introduce fractional order differentiation into both the generator and the discriminator. Compared with conventional end-to-end methods, fractional order can better distinguish noise and high-frequency details, thereby achieving superior noise reduction effects while maintaining details. Finally, experimental results show that the proposed model obtains superior visual effects in low-light image enhancement. By introducing fractional order differential, we anticipate that our framework will enable high quality and detailed image recovery not only in the field of low-light enhancement but also in other fields that require details.
Microfracture evolution leading to catastrophic failure observed by hearing and seeing

&amp;lt;p&amp;gt;Catastrophic failure is a critical phenomenon present in Earth systems on a variety of scales, and is associated with the evolution of damage leading to system-size failure. Laboratory testing of rock failure permits characterization of fracture network evolution at the micro-scale to understand the interaction of cracks, pores and grain boundaries to an applied stress field, and the relationship between deformation and seismic response. Previous studies have relied on acoustic emissions (hearing) or X-ray imaging (seeing) to study the process of localization, which involves spontaneous self-organization of smaller cracks along faults and fractures on localised zones of deformation. To combine hearing and seeing of the microscopic processes and their control of system-sized failure, a novel x-ray transparent cell was used for deformation experiments of rock samples, which permits integration of acoustic monitoring with fast synchrotron x-ray imaging. To increase temporal characterization of damage beyond the temporal resolution of the fast 3D synchrotron system, acoustic emission (AE) feedback control was used to regulate the applied stress and slow down the deformation processes. As a result, there is increased temporal resolution of the incremental deformation between successive x-ray scanned states allowing synchronized comparison of acoustic emissions to x-ray scans. Here, we present the seismic analysis used to characterize the velocity evolution of the rock samples, and the location and characteristics of individual AE events in relation to microscopic deformation processes. Time-lapse velocity measurements are linked to internal stress changes and structural damage corresponding to seismic and aseismic deformation processes, while acoustic emissions are a direct indication of local cracking.&amp;amp;#160; We show that we can successfully locate AE events in 3D using only two sensors on either end of the sample, based on ellipsoid mapping, and x-ray image to event correlation. We explore temporal and spatial statistics of AE signatures and how those are linked to the strain field in the samples measured with incremental digital volume correlation between pairs of recorded x-ray tomograms. The direct observation of AE and X-ray images enables quantification of relevant seismic (local cracking leading to AE) to aseismic (elastic loading and silent irreversible damage) processes, with information extracted over fine temporal resolution throughout the deformation process through the AE-feedback control.&amp;lt;/p&amp;gt;
Extraction of spatio-temporal sequences

This work proposes a novel procedure to convert and aggregate multiple multivariate time series into multiple discrete sequences of data in such a way that it is then possible to extract spatio-temporal patterns and rules from them, using frequent pattern mining algorithms.
WasmTree: Web Assembly for the Semantic Web

Today, Javascript runtimes intend to process data both at server and client levels. In this paper, we study how Rust and Web Assembly can contribute to implement efficient Semantic Web libraries for the Javascript ecosystem. We propose WasmTree, a new implementation of the RDFJS Store and Dataset interfaces in which the processing is carefully split between the Web Assembly and Javascript layers. Experiments show that our best setup outperforms state-of-the-art implementations for fine-grained data access and SPARQL queries.
Loma Linda University Libraries: Citation Style Guide: Other Helpful Guides

How to cite electronic documents in AMA, APA, MLA, and Chicago styles, plus links to further information on these style formats.
TREN SAMBARAN PETIR CLOUD TO GROUND KOTA BALIKPAPAN TAHUN 2016-2018

Lightning strikes are very dangerous natural events and can cause significant damage such as fires. Apart from causing lightning strikes, damage can also result in death if contact with living things. Because it is very dangerous, it is necessary to have a reference regarding the level of threat of lightning strikes that occur in the study area. The purpose of this research is to determine the level of lightning threat in the city of Balikpapan in the period 2016 to 2018, to determine the trend or trend of lightning strikes each year. The 2016-2018 lightning strike data obtained from the NexStrom software and Lighting Detector 2000 is a type of Cloud to Ground lightning that is struck directly to the ground and is a lightning hazard for life, then this lightning strike data is processed to find the value of the level of lightning strikes. which occurred in the city of Balikpapan in 2016- 2018. The results of this study found that the average threat level of Balikpapan City lightning strikes and the value of the threat of lightning strikes in 2016-2018.
INFORMATION SUPPORT TOOLS FOR THE LIFE CYCLE OF SCIENTIFIC RESEARCH: DIGITALIZATION OF SCHOLARLY COMMUNICATION AND RECOMMENDATIONS TO MASTERS

Education and science digitalization belongs to the priority areas of information society development. However, we can observe that while Ukraine enters the European educational and scientific space, Ukrainian scientists cannot yet efficiently compete in the international labor market. One of the reasons behind this is that Ukrainian scientists and researchers are not fully integrated into the world system of digital scholarly communication. To help researchers use digital tools supporting scholarly communication, many companies carry out various educational events to support open science and initiate international research and projects. Under modern conditions the digitalization of scientific communication went to the front-burner due to the COVID-19 pandemic. At the same time, the forced transition to digital scholarly communications through the COVID-19 pandemic can help integrate young scientists, including masters of higher education, into the international scientific space. This article provides an analysis of tools to support scholarly communication developed within the «101 innovation of scholarly communication» project. The international survey demonstrates the tools that scientists prefer to use at each stage of the research. This paper characterizes the advantages of particular tools on different stages of the masters’ research process induced by the current tendency for scholarly communication digitalization and the limitations for masters’ research. During the work, we outlined the scope for future research and found it necessary to conduct an additional survey for the scholarly community.
Pengembangan Multimedia Interaktif pada Pembelajaran Pengenalan Prinsip Kerja Perangkat Jaringan Kelas X SMK Muhammadiyah 1 Sukoharjo

The introduction of the working principle of the jarinagan device is one of the basic network subjects, the material contains the workings of each network device. With the use of learning media it is expected to be a learning innovation in material delivery and students are more enthusiastic in learning. This development research aims to determine the feasibility of interactive multimedia in the introduction of learning the working principle of class X network devices at Muhammadiyah 1 Vocational School 1 Sukoharjo. This study uses the waterfall development technique Data collection techniques used in this study used interviews, questionnaires, and documentation. The development procedure in this study uses the following steps: analysis, design, implementation, testing and maintenance. The results of the feasibility assessment from material experts and media experts get a percentage of more than 63%. While the results of student responses get an average score of 89%. The results of the use test show that groups of students who use media get higher average scores than those who do not use media. Based on the results of the percentage of feasibility, it can be concluded that the media is suitable for use.
LibGuides: True Crime Resources: Web Pages

This is a guide to some of my favorite true crime resources. It will provide a variety of media to help you get your true crime fix! A List of Web Pages About True Crime
Montenegrin web corpus meWaC 1.0

The Montenegrin web corpus meWaC was built by crawling the .me top-level domain in 2019. The corpus was near-deduplicated on paragraph level, normalised via transliteration into the Latin script, and morphosyntactically annotated, lemmatised and dependency-parsed with a prototype version of the classla pipeline (https://pypi.org/project/classla/). Each document is accompanied by the URL and title metadata.The corpus is available in CoNLL-U format and as vertical file (wilth included registry) for mounting on CQP-compatible concordancers.
Effect of Financial Innovation on Economic Growth: Evidence from African Countries

Financial innovation is a product of technology and the question whether financial innovation spurs economic growth is subject to level of technology in the financial sector of an economy as well as other factors. On this note, this study examines the impact of process financial innovation on economic growth in some selected African countries. The study used annual panel data obtained from the World Bank Development Indicator comprising of seventeen cross section countries covering the period of fifteen years from 2004 to 2018. Generalized Method of Moment (GMM) was employed to analyze the panel data system. The result shows that financial innovation has significant impact on economic growth of selected countries. Automated Teller Machine (ATM) which is a major measure of our process financial innovation has significant impact on economic growth. Number of Bank branches on the other hand has positive but insignificant impact on the economic growth. Financial innovative products such a domestic bank credit also contributes significantly to the economic growth of African countries. It is therefore recommended that policy makers should encourage establishment of more ATM terminals, increase the number of bank branches and improve the credit to private sector of the economy.
AN AN ANALYSIS OF STUDENTS’ ABILITY IN WRITING NARRATIVE TEXT AT X GRADE IN SMA N 1 MERANGIN ACADEMIC YEAR 2019/2020

The problem of this research at X IPA 3 SMA N 1 Merangin is caused by the relatively low ability of students to write. This can be seen from the analysis of student scores. The low scores of students in writing are due to students' lack of knowledge of aspects that need to be considered in writing such as Content, Organization, Vocabulary, Language use and Mechanics. On this occasion the writer scores students through text. This study aims to see to what extent students understand each aspect so that students get a much more satisfying score in the future, after knowing the students' abilities and the teacher can see which parts need to be improved. This research is a quantitative descriptive study. Data collection was taken from a test written in narrative text. The data from this study were in the form of a student grade writing test from a sample group of 22 students. It was found that the results of this study revealed the value obtained by students in the content aspect as many as 11 students or 50% who reached the KKM. Organization as many as 15 students or 68% who reach KKM, vocabulary as many as 14 students or 64% who reach KKM, use of language as many as 16 students or 73% who reach KKM, while mechanics or 11 students or 50% who reach KKM. So the total is 12 students or 55% who reach the KKM and 10 students or 45% who don't reach the KKM
Texture Blending for Photorealistic Composition on Mobile AR Platform

This work establishes a client-cloud collaborative computing framework, realizing the augmented reality synthesis of photos on the mobile platform. This framework solves the bottleneck of unrealistic image rendering caused by the insufficient computing power of mobile hardware in augmented reality synthesis. On the client side, a real-time preview function is provided for users to perceive the final result. On the cloud side, a complete rendering pipeline with high computing is used to achieve highly realistic picture rendering and composition. On the basis of augmenting reality, this framework increases the interaction between humans and virtual models. We propose a method to integrate user interaction input and image semantic information to solve the limitation of inaccurate estimation of depth information in distant area. Finally, this work takes the augmented reality display of virtual cherry tree as an example to build a sample program. The result shows that the framework is of high practicability and can automatically compose highly realistic photos.
Global and local feature alignment for video object detection.

Extending image-based object detectors into video domain suffers from immense inadaptability due to the deteriorated frames caused by motion blur, partial occlusion or strange poses. Therefore, the generated features of deteriorated frames encounter the poor quality of misalignment, which degrades the overall performance of video object detectors. How to capture valuable information locally or globally is of importance to feature alignment but remains quite challenging. In this paper, we propose a Global and Local Feature Alignment (abbreviated as GLFA) module for video object detection, which can distill both global and local information to excavate the deep relationship between features for feature alignment. Specifically, GLFA can model the spatial-temporal dependencies over frames based on propagating global information and capture the interactive correspondences within the same frame based on aggregating valuable local information. Moreover, we further introduce a Self-Adaptive Calibration (SAC) module to strengthen the semantic representation of features and distill valuable local information in a dual local-alignment manner. Experimental results on the ImageNet VID dataset show that the proposed method achieves high performance as well as a good trade-off between real-time speed and competitive accuracy.
HOW TO REGULATE THE FUTURE OF TECHNOLOGY: CHALLENGES AND PRINCIPLES

The intention of this paper is to reflect on the future of regulation in order to face the great challenges that new technologies are poposing, especially for regulators. The current regulatory system is forced to make enormous efforts to keep up with technological changes. For this reason, we want to think about whether the current model of slow and deliberate regulation is fully valid, or on the contrary whether we should aim for a more agile form of regulation to reach a balance between allowing innovation and the development of technology, while never forgetting the defence of the rights of the consumers or users of these technologies. The European Union has proposed developing a harmonized legal framework that provides legal security to all citizens of the union as a fundamental piece of this “new regulation” and in turn allowing European companies to compete internationally, and not just in the European context.
The Right to Obtain Covid-19 Information for Those with Disabilities

The Indonesian Ministry of Health is at the forefront of delivering the latest information related to the development of Covid-19 to reach all levels of society using mass media and social media.For social media, the Instagram @kemenkes_ri account is one of the social media which actively delivers Covid-19 information.This study aims to determine the fulfillment of the right to obtain Covid-19 information for people with disabilities through the @kemenkes_ri Instagram account.This study uses a qualitative approach by conducting discourse analysis and netnography methods for confirmation of people with disabilities.The results of this study show, the information posted on Instagram @kemenkesi_ri is not yet fully accessible and cannot be easily understood by people with disabilities since numerous content did not use subtitles or sign language to help the hearing impaired.Then it was found that there were contents which only displayed the visuals but did not have any audio so it was impossible for the sight impaired to understand and access it, and various other unaffable information conveyed through the instagram account @ kemenkes_ri.