Reviewerly/exHarmony huggingface dataset:
Digital watermarking by utilizing the properties of self-organization map based on least significant bit and most significant bit

&lt;p&gt;&lt;span lang="EN-US"&gt;Information security is one of the most important branches concerned with maintaining the confidentiality and reliability of data and the medium for which it is transmitted. Digital watermarking is one of the common techniques in this field and it is developing greatly and rapidly due to the great importance it represents in the field of reliability and security. Most modern watermarking systems, however, use the self-organization map (SOM), which is safer than other algorithms because an unauthorized user cannot see the result of the SOM's training. Our method presents a semi-fragile watermark under spatial domain using least significant bit (LSB) and by relying on most significant bit (MSB) when the taken values equal to (2 or 4 bits) depending on the characteristics of SOM through developing the so-called best matching unit (BMU) which working to determine the best location for concealment. As a result, it shows us the ability of the proposed method to maintain the quality of the host with the ability to retrieve data, whether it is a binary image or a secret message.&lt;/span&gt;&lt;/p&gt;
Small-volume monogenetic igneous landforms and edifices statistics (SMILES): A catalog of representative mafic volcanic landforms to enable quantitative remote identification

Accurate classification of terrestrial and non-terrestrial volcanic landforms requires a robust suite of morphometric parameters. The Small-volume Monogenetic Igneous Landforms and Edifices Statistics (SMILES) catalog contains the morphometric characterizations of mafic small-volume volcanic landforms and was created using uncrewed aerial system photogrammetry, open-source LiDAR, and digital elevation model repositories. This study analyzed 20 simple maars, 22 lava collapse features, 24 ring scoria cones, and 24 spatter landforms (fissure and point source spatter ramparts), using high-resolution (&amp;lt;0.1–5 m/pixel) digital elevation models to establish what dimensionless morphometric parameters enable remote identification of the studied landforms. Parameters include isoperimetric circularity, depth ratio (crater depth/major chord), interior slope angles, as well as crater to base ratios for the area, perimeter, and major chord lengths. Landforms were limited to a basal width of &amp;lt;2 km and &amp;lt;1 km 3 for scoria cones and spatter landforms, and a major chord of 2 km or less for lava collapse features and maars. Simple maars have an aspect ratio (AR) (&amp;gt;0.74), isoperimetric circularity (IC) (&amp;gt;0.90), interior slope angle (&amp;lt;47°), and depth ratio (&amp;lt;0.26) creating a distinct range of morphometric parameters. Lava collapse features exhibit wider variability in AR (0.26–0.95), IC (0.46–0.98), interior slope angle (up to 16–86°), and depth ratio (0.25–0.52). Scoria cone craters have a distinct range of AR (&amp;gt;0.54), IC (&amp;gt;0.81), interior slope angle (&amp;lt;34°), and lower depth ratio (&amp;lt;0.25). Spatter landforms have a wider range of variability in AR (0.25–0.94), IC (0.43–0.98), interior slope angle (&amp;lt;63°), and depth ratio (0.04–0.37). Scoria cones have lower crater/base area ratios and lower crater/base perimeter ratios than spatter landforms. This study demonstrates that while an individual parameter is not diagnostic for recognizing small-volume mafic volcanic landforms remotely, a suite of parameters is. The SMILES catalog demonstrates the value of evaluating populations of similar landforms using higher-resolution datasets to establish diagnostic suites of dimensionless parameters, to enable accurate and positive remote identification of volcanic landforms. The technique used in this study can be applied to other volcanic and non-volcanic landforms on Earth, as well as non-terrestrial targets.
Een bronzen hielbijl uit Emmen

A Bronze Age palstave found at Emmen. In 2019, a Bronze Age palstave was found in a field west of Emmen by a father-and-son team of metal detectorists. In agreement with the landowner, the find was reported to PAN. During the process of conservation, the opportunity presented itself to study the alloy using pXRF analysis. This suggested that the copper ores used in the bronze alloy ultimately derived from Swiss or Slovakian mines, but that the metal was cast locally into a form well-known in the sandy regions of the Low Countries. A review of the find in its topographical and cultural context indicated that it – like various other items in the Bronze Age – had been deposited in (the margin of) wetland parts of the landscape, not far from a contemporaneous settlement.
Time-lapse imagery to monitor ephemeral and intermittent streams&amp;#160;

&amp;lt;p&amp;gt;While the interest in ephemeral and intermittent streams increased in the last few decades, monitoring such watercourses remains a major challenge in hydrology. Direct field observations are best to detect spatial patterns of flow persistence, but they are time and labour intensive and may be impractical in difficult-to-access environments. Moreover, instrumentation deployed in the riverbed can provide information about the presence/absence of water, nevertheless these methods lack in streamflow quantification. Motivated by latest advancements in computer vision hardware and software, we proposed the development and application of a stage-camera system to monitor the water level in ungauged headwater streams. This system encompasses a camera with near infrared (NIR) night vision capabilities and a pole that serves as reference object in the collected images. To evaluate the efficacy of this system in the detection of river dynamics, a set of 22 stage-camera stations was installed along the entire river network at the 4 km&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt; Montecalvello catchment, near Viterbo (VT, Italy). Time-lapse imagery was processed through a computationally inexpensive algorithm featuring simple image-based operations. The feasibility of this approach is demonstrated through a set of benchmark measurements obtained from a supervised procedure. Preliminary evaluations are encouraging and support the usability of this approach in monitoring ephemeral and intermittent streams dynamics.&amp;lt;/p&amp;gt;
Protocols for a Two-Tiered Trusted Computing Base

A trusted computing base (TCB) is the minimum set of hardware and software components which are inherently trusted by a platform, and upon which more complex secure services can be built. The TCB is secure by definition, and it is typically implemented through hardened hardware components, which ensure that their secret data cannot be compromised. In this paper, we propose and investigate a two-tier TCB architecture that benefits both from a small hardened ‘minimal’ TCB, but also offers the possibility of integrating complex security services into an ‘extended’ TCB. Our design includes a collection of protocols to ensure (1) secure update of the components, (2) secure boot of the platform, (3) attestation, and (4) detection of powerful attackers that can corrupt memory regions together with a (highly probable) platform recovery mechanism after such an attack. The protocols have been formally modelled, and we provide a collection of security properties that have been verified using the automatic protocol verifier ProVerif.
The CoLiS platform for the analysis of maintainer scripts in Debian software packages

The software packages of the Debian distribution include more than twenty-seven thousand maintainer scripts in total, almost all of them being written in the Posix shell language. These scripts are executed with root privileges at installation, update, and removal of a package, which makes them critical for system maintenance. While the Debian policy provides guidance for package maintainers producing the scripts, only few tools exist to check the compliance of a script to that policy. We present CoLiS, a software platform for discovering violations of non-trivial properties required by the Debian policy in maintainer scripts. We describe our methodology which is based on symbolic execution and feature tree constraints, and we give an overview of the toolchain. We obtain promising results: our toolchain is effective in analysing a large set of Debian maintainer scripts, and it has already detected over 150 policy violations that have led to bug reports, more than two-third of them now being fixed.
Is Your Password Sexist? a Gamification-Based Analysis of the Cultural Context of Leaked Passwords

Passwords are still the most common authentication method for various digital services. The majority of the research into passwords is focused on technical concerns rather than the human elements of password construction. In this paper, we aim at studying cultural aspects of leaked passwords with the usage of an online game. In particular, we introduce a novel web-based data collection tool utilizing gamification elements that benefits from appealing aesthetics and implemented narrative elements to engage users into prolonged play. The player’s role is to label presented passwords with available descriptive tags. Our goal is to collect a large number of gaming data to identify prevalent tag choices through consensus, and as such, assign perceived meaning to the passwords through the tags. An initial field test of the prototype returned a high number of responses that were determined to be valid when assessed via internal controls.
Innovation and Design of Physical Teaching Resource Intelligent Distribution Platform Based on Blockchain Technology

This article aims to study the innovation and design of an intelligent distribution platform for physical teaching resources based on blockchain technology (BT). With the continuous shrinking of teaching, the problem of balanced shrinking of teaching has become a hot issue in the field of teaching. In the distribution of physical education resources, there are problems such as lack of physical equipment and not fully open teaching, which as an important and shrinking point in the overall shrinking of society, will inevitably be included in the ranks of the overall shrinking of urban and rural areas. Physical teaching should be mentioned in the proposal as an important content of the school’s teaching. It can make teaching resources more distinctive and personalized, closer to life, and can also make more sports resources become school materials. School physical teaching resources are the basis for all school physical teaching. However, for historical and practical reasons, the gap in the allocation of physical teaching resources in urban and rural primary and secondary schools is gradually increasing. This problem has always restricted the modernization of school sports. To achieve the coordinated shrinking of urban and rural school sports, the balanced shrinking of urban and rural school sports resources is a prerequisite. It enables users to build portrait and content intelligent recommendation algorithms to build a cross-platform and geographic one-stop teaching resource intelligent distribution platform. Through experiments, the statistical data of the questionnaire survey results after the design and test show that 80% of the primary and middle school students are satisfied with the subplatform and believe that the design of this platform has a role in enhancing physical exercise.
Psychological aspects of the information war

The article has analyzed views of domestic and foreign authors on the essence and content of the concepts of "information warfare", "psychological war" and "information-psychological war" as components of a hybrid war. Within the psychological paradigm, information warfare is understood as the latent impact of information on individual, group and mass consciousness through methods of propaganda, misinformation, manipulation to form new views on the socio-political organization of society through changes in values and basic attitudes. The concept of "world psychological warfare", various theoretical approaches, tools of information and theoretical approach are considered. The tools of the information warfare against Ukraine are propaganda; manipulation; attempts to change public opinion; psychological and psychotropic pressure; spreading rumors, blocking TV and radio broadcasts; removal of Ukrainian channels in the occupied territories; disinformation and distribution of fake news; distribution of fake information. The defining features of the concepts of "information warfare" and "psychological war" are that information warfare is conducted mostly in cyberspace, while psychological – in social space. The organizational differences of the information influence of the Russian Federation in the basic training of law enforcement specialists are investigated. The main directions of work, forms of information warfare activities which were carried out by the Russian party are characterized. The main psychological challenges of modern information wars are shown. The psychological challenges caused by the war are identified, which are conditionally divided into the following four groups: challenges to Ukrainians as a community; challenges to the mental health of the individual; challenges to psychological well-being; challenges to Ukrainian psychologists as a professional community. In the course of the study, recommendations for confrontation in the information warfare were formed. The main necessary measures to counteract the information aggression of the Russian Federation against Ukraine are suggested.
Looking Further

Congratulations for arriving at this point. Thus far in the book, you’ve learned many of the features that Haskell provides in terms of language and libraries. The notions of functor, monad, and GADT should not be alien to you anymore. You’ve also seen how to design large applications in Haskell and how to manage databases and web applications. And above all, you’ve seen how a strong type system encourages a more systematic way of writing software and helps in reducing time spent in coding and maintenance.
DW-ENEM: a Data Warehouse for Analytics Exploration of National High School Exams Results

The National High School Exam (ENEM) aims to assess the quality of high school education and serve as a gateway for students to public and private universities (national or foreign). Although these data are open, it is difficult to interpret because of the available format. This paper aims to structure and analyze ENEM data at a multidimensional level. We propose a multidimensional model of the data warehouse and present some graphs resulting from analyzes requested by coordinators of Brazilian schools. Such analyzes include information on people with special needs and data on socio-economic issues.
Accelerating graph analytics

Handling graph databases properly leads to obtaining a precise result within a fixed time. It is essential to take a fast-track in graph analytics to address the challenges faced in exploring the data, as it is an incipient form of data analysis. The analytic methodologies involved in discovering the underlying implications of data to deliver an optimized result should get drive-by emerging techniques. A graph database possesses many complex patterns which are to be quickly identified for specific outcomes. Graph analytics assist in building patterns based on the connectivity between the nodes to provide proper context. Graph analysis is transforming into a significant factor for today&apos;s data analysis, so there is a need to accelerate its medium to the next level by implanting its features with recent technologies. To boost the performance of graph analytics, Artificial Intelligence (AI) is embraced with its enhanced features and techniques. Graph-based machine learning and analytics act as a boon for data scientists to increase their productivity and representation of data which is widely expected from enterprise users. Implementing AI produces machine-generated quick and precise values and results in a complete dataset-adopting machine learning techniques helps in feeding training data to the algorithm, building relationships between disparate data points, and enabling the connection between nodes and structure graph databases. This chapter leads the path of advanced graph analytics, which will lead data analyzers to take their next move in a data-powered business.
Toward graph data science

In this chapter, we are focusing on how the work with graph concepts in the data science and also going to focus how advantageous is to use graphical representations in data science. We also refer the best-suited algorithm for the successful working of the project. Here we can perform the variations by using one algorithm to the other algorithm in various modes. By doing the comparison process among the various algorithms, we can expect the result in the better manner as well as more efficient manner. The author Nolan brought the concept of graphs in the computing environment for making calculation, to show the variations of various models and many more. By embedding computing with the statistics will be helpful for the better understanding and also the number of employment is rising because of merging graph techniques in machine learning. To bring up the difference or to bring up the comparison of the works, the graph techniques were very useful.
Demystifying graph AI

Graphs are emerging as futuristic and flexible data structures that can fluently and fluidly model different relationships and processes over physical, biological, social, and information systems. Graph nodes or vertices represent the system&apos;s entities. Nodes are connected by edges/links, which represent relationships between those entities. Such an influencing representation helps to express and expose complex interdependencies in data.The Artificial Intelligence (AI) domain fundamentally represents a collection of pioneering algorithms and approaches to uncover and emit out human-like intelligence from data volumes through an iterative and insightful process of building, evaluating, and optimizing AI models. As indicated above, another interesting facet gaining prominence in the recent past is the aspect of data representation through enigmatic graph structures. This transition has resulted in solving a myriad of complex business problems. Now by applying proven and potential AI procedures and processes on graph data, the task of knowledge discovery out of data mountains is becoming simpler and speedier. The prediction accuracy and performance of AI models when applied on graph data show a lot of perceptible improvements. This strategic and subtle convergence is being widely touted as the Graph AI paradigm. In this chapter, we are to discuss what, how, and why Graph AI is acquiring all the attention and how this new paradigm is bound to be a trend-setter for the ensuing era of knowledge.
Gen Z’s Intention to Return Product Online: A Regression Analysis of Young Indian Consumers

India has the second-largest online market in the world after China with 560 million internet users. Product return policy plays a vital role in the growth of online shopping in India. Convenient and easy return policies give customers confidence in the online shopping markets. With 472 million of population, Gen Z in India is the largest in the world. Online businesses in India are more concerned about this generation because they are the majority of internet users across the country. This study investigated the intention of Indian Gen Z consumers toward returning product online. Theory of Planned Behavior (TPB) was used as the study’s framework and for testing the proposed hypotheses, linear regression analysis was employed. The study findings add to the current online shopping literature and increase our understanding of consumer product return behavior of Gen Z.
Large-scale Graph Neural Network Services through Computational SSD and In-Storage Processing Architectures

Demonstration Video Link: https://www.youtube.com/watch?v=b5fZBESH1TM
SEMcTrA: a multilayer specialized system for COVID-19 remote triage, resource allocation and teleconsultation

The rapid regulation of telemedicine in Brazil during the COVID-19 pandemic occurred after publication of the brazilians Unified Health System (SUS) Ordinance Nº 467/2020 and Federal Council of Medicine (CFM) Resolution 2.314/2022, which provides definitions, usages and regulations for telemedicine during the pandemic period. Once social isolation actions have been required in pandemic, teleconsultation and remote triage combined solutions provide strategic subsidies for monitoring and treating COVID-19. When aggreded with someone allocation strategies, these solutions allowing exchange of qualified information, and strategic communication within territory, where the residents and the local assistance services are responsible for directly dealing with the pandemic. In this context, the teleconsultation multilayer expert system for COVID-19 classification, triage and intelligent allocation so-called SEMcTrA was developed. Composed of asynchronous (patient-system interaction) and synchronous (medical-patient interaction) communication modules, which legitimize and effective the medical forwarding, and enable the collect of accurate data of the disease evolution. The SEMcTrA computes the probability coefficient of Covid-19, called PCovid, to diagnostic aid decision. The remote communication with the patient is subsidized by the PCovid value in a teleconsultation environment that implements Security Assurance Level requirements. In addition, the system has a homepage for news publication to serve the population with secure information regards the new coronavirus. The system is currently being tested by the team from Division of Health Care Employee (DASS) at the Universidade Federal Rural do Semi-Árido. As a result, the multilayer triage approach (asynchronous, synchronous, and smart allocation) encapsulated in the SEMcTrA, provided support for medical-decision by offering information in an efficient and agile way to combat the pandemic.
The development of instructional model utilizing applications and platforms for improving elementary students’ self-directed learning for English writing

The purpose of this study is to investigate how to utilize applications and platforms on elementary students’ self-directed learning for English writing. It was attempted to prove the effectiveness of learning to write through the use of applications by getting corrections on students’ writing. Additionally, with the use of platforms, exchanging teachers-to-students feedbacks and students-to-students feedbacks during the process-oriented writing was attempted to improve efficacy. The research was carried out with two classes of sixth graders from an elementary school in Seoul. Tests on English writing abilities and affective domains of self-directed learning ability were conducted. Also, a semi-structured student interview was carried out. The test on self-directed learning ability consisted of the following six areas: motivation, self-management, responsibility, initiative, meta-cognition, and self-efficacy. The result showed that English writing abilities and self-directed learning ability on every area improved and that students showed a higher degree of satisfaction for the classes utilizing applications and platforms. According to students’ responses, strengths of the classes were one on one learning, customized feedbacks, and time efficiency. However, a serious impediment was encountered utilizing applications and platforms. For example, some of them felt uncomfortable about feedback errors, comparison with peers, and adaptation time. Some implications and suggestions for developing an English writing instructional model are included.