Reviewerly/exHarmony huggingface dataset:
Enhancing PRNU-based image forensics with a non-parametric correlation predictor based on locally weighted regression

For PRNU-based image manipulation localization, the correlation predictor plays a crucial role to reduce false positives considerably, as well as increasing accuracy of manipulation localization.In this paper, we propose a novel correlation predictor with a non-parametric learning algorithm, which is Locally Weighted Regression.Instead of fitting a global set of model parameters, a non-parametric learning algorithm fits a model dynamically by sampling the training set based on the pixel in the query image at which the correlation needs to be predicted.Our experimental results suggest that building a model dynamically based on the distance of training examples from the query pixel in the feature space helps to predict the correlation more accurately.Experimental results on benchmark datasets indicate that integrating the new predictor significantly improves the accuracy of predicted correlation, as well as image manipulation localization performance of PRNU-based forensic detectors.
Improving literacy competence for junior high school teachers

During discussions with the teachers at Said Na'um Islamic Junior High School, it was discovered that there were issues with the school's facilities and infrastructure, specifically the lack of printed learning resources as enrichment materials for students. Therefore, it was agreed on priorities for teacher problem solving efforts in improving information literacy competence, so that they are able to utilize technology-based information. The implementation of this service involves several steps, including observation, implementation, and program evaluation. The implementation of the training on digital literacy skills will be held in September 2021. The results of the activity show a good response from teachers where 85% actively attend the program, 50% of them submitted the task and have been able to use digital technology well. As for 80% of the participants have mastered the ability to browse the literature.
States of consciousness, observer problem, cognition (or about the unity of transcendental psychology, physics and philosophy). Part II

The article notes that the main conclusion of the first part of the article is that the perception of the world (observation, measurement, presentation of the worldview, etc.) always takes place through the subject of perception, depends on its subjectivity, in particular, on the states of consciousness. This leads to the formation of different ways of understanding and investigating phenomena of the surrounding reality. The reason of such differences in perception of the world is that every single researcher, observing the world or, studying the phenomena of the world, taking the position of an external (external, objective, «divine») observer, does not notice that he excluded himself, his personality, uniqueness of his cognitive abilities from the act of observation. Such an observer is obviously aware that he is looking at the world, but is not aware of the influence of his own subjectivity on the result of perception. The article shows that the problem is much deeper and more complex. The fact is that even after becoming aware of the influence of one's own subjectivity on the result of perception, one is unable to become aware of the mental activity that generates these results-the reality of the mental phenomena of perception and thinking. Awareness of these gaps in cognition leads to transcendental problems. The need then arises for a clearer understanding of what the characteristics of the observer are and how the results of observation relate to an objective reality that exists outside of human consciousness and perceptions, but is inaccessible to direct observation. Defining the role of the observer in cognition can make new adjustments in the creation and development of scientific research methodologies. The differences that exist between the concepts of external and internal observer are pointed out. The difficulties encountered by transcendental psychology in using methods of classical science based on data obtained from the external observer position are shown. The problems were solved in the transition to the position of the internal observer. An example of a similar transition is «Copernican revolution» made by I. Kant in philosophy. The transition to the position of an internal observer turned out to be fruitful for physics as well. The studies of A. V. Kaminsky and D. Spencer-Brown, analyzed in this article, testify to it.
Climbing in VR

The ability to climb up objects, Tomb Raider style, to get to your destination is one of the most enthralling things you can do in VR. The VRTK makes climbing a breeze, allowing you to make almost any surface climbable. Need to climb a fence, a ladder, or perhaps a wall, no worries. This climbing mechanic can be easily created using a customized Interactable prefab that handles the climbing action in conjunction with the pseudo-body to handle the physics of the player’s body. In this chapter, we’ll make all Containers and the Ladder in our Demo scene climbable.
An Efficient Secure Data Deduplication and Portability In Distributed Cloud Server Using Whirlpool-Hct And Lf-Wdo

Distributed Cloud Computing Storage has come up as a service that can expedite data owners (DO) to store their data remotely according to their application or data or file environment. However, insecure data storage, high uploading bandwidth, integration issues of DCS has breached the trustworthiness of the user to store data. In order to conquer the challenge, the work has developed a data Deduplication and portability-based secure data storage in DCS. The work aids to remove unwanted data and selects the most relevant features to avoid data loss by using GK-QDA Feature Reduction Method and HFG feature selection method. The selected cloud server for the respective data or application is analyzed for redundant data by data duplication using a whirlpool hashing algorithm followed by a hash chaining algorithm. Finally, to minimize the integration issues while moving the encrypted data between the DCS, the work has developed an LF-WDO technique. An experimental analysis has showed an enormous result by achieving a computation time of 2987 ms as compared to the existing methods
Disgust, Antebellum Vegetarianism, and the Human Animal in Thoreau’s “Higher Laws”

“Higher Laws” has typically been interpreted as indicating Henry David Thoreau’s ambivalence about his status as a human animal. This paper extends these readings by comparing Thoreau’s argument for vegetarianism to those of prominent antebellum reformers, Sylvester Graham and William Alcott. It argues that while Grahamites framed animal flesh-eating as an unnatural and morally repulsive practice, Thoreau focused his critique on the aberrant way humans consume meat. Significantly, Thoreau drew a distinction between a natural, wild mode of carnivorousness conducive to fulfilling one’s basic needs, and an unnatural, domesticated mode of consumption characterized by excess, pleasure, and thrill. Situated within the context of the psychology and philosophy of emotions, this paper charts the recruitment of disgust by prominent antebellum reformers to persuade readers to adopt a humane diet. It also proposes a novel account of the political efficacy of the emotion for promoting progressive social values.
Conclusions and Recommendations

Despite the promising achievements introduced in the previous chapters, there are still unsettled issues that hinder the development of human activity recognition. In this chapter, we conclude the current progress and give a discussion on these issues as well as research opportunities in the future.
Cloud Computing Forensics: Dropbox Case Study

This chapter describes how to use Android and iOS mobiles in data acquisition and in finding results. This analysis and study on new versions of the Dropbox app with different versions of Android OS and iOS will increase knowledge about cloud storage forensics artifacts. In addition, it will help investigators to use it in investigations when any criminal activity happened on it.
Model of organization of socio-cultural youth adventure practices

The article presents theoretical materials devoted to the urgent problem of socio-cultural adventure practices and their educational effectiveness in relation to the modern student. The modern student is not like the student of past decades, and innovative educational methods are required to work with him. One of these methods can be the social and cultural practice of youth adventure. The purpose of the described research is development of a model for the creation and use of socio-cultural practices of youth adventures as a means of educating a student's personality on the example of a campaign. The practice of youth adventure has a number of pedagogically useful features that allowit to have a complex educational impact on the student. Creating a descriptive model of the sociocultural practice of youth adventures in the form of a hike, we rely on certain pedagogical approaches and principles, as well as on the theory of collective creative activity of I. P. Ivanov. The advantages of the hike, in the ability to synthesize physical and intellectual activity, together with the vast possibilities of cognizing the environment, turn out to be a decisive factor for us in choosing the form of social and cultural practice of youth adventure. The hike becomes the basis for the introduction of a role element that allows students to distribute the process of cognition of the world around them to specific sciences, which will allow to collect more information in aggregate and more effectively immerse students in the matter of different (interesting to them) sciences. At the end of the trip, the knowledge gained is exchanged, which helps to improve relations within the team and stimulates students' interest in various sciences. Since the hike is conducted in the home area for the students, the practice also fosters a sense of patriotism.
Adaptive Alleviation for Popularity Bias in Recommender Systems with Knowledge Graph

Recommender systems are known to suffer from the popularity bias problem: popular items are recommended frequently, and nonpopular ones rarely, if at all. Prior studies focused on tackling this issue by increasing the number of recommended nonpopular (long-tail) items. However, these methods ignore the users’ personal popularity preferences and increase the exposure rate of the nonpopular items indiscriminately, which may hurt the user experience because different users have diverse interests in popularity. In this work, we propose a novel debias framework with knowledge graph (AWING), which adaptively alleviates popularity bias from the users’ perspective. Concretely, we explore fine-grained preferences (including popularity preference) behind a user-item interaction by using the heterogeneous graph transformer over the knowledge graph embedded with popularity nodes and endow the preferences with explicit semantics. Based on this idea, we can manipulate how much popularity preference affects recommendation results and improves the exposure rate of nonpopular items while considering the popularity preferences of different users. Experiments on public datasets show that the proposed method AWING can effectively alleviate popularity bias and ensure the user experience at the same time. The case study further demonstrates the feasibility of AWING on the explainable recommendation task.
Implementasi Model Konseptual Pemetaan Potensi Konflik di Ditintelkam Polda Jateng dengan Agile

The performance of the Directorate of Police Intelligence and Security is judged by how capable they are in reducing potential conflicts that may occur or conflicts that have occurred. The better performance of the police in carrying out early detection of potential conflicts will result in the peace and security of the public can be maintained. The potential conflicts detection system can be used to improve the performance of police officers in reducing the potential conflicts that may occur. The performance of the potential conflicts detection activity can be improved by observing the database at the Directorate of Intelligence and Security of the Central Java Regional Police which contains information and reports of potential conflicts that have been detected early as well as conflicts that have occurred. In addition, the various supporting features such as graphic visualization to display the data that is being observed is useful to shorten the decision-making time, therefore the prevention and control of potential conflicts can be resolved more quickly.
The Fundamental Right to Technology

The multiple rounds of COVID-19-related lockdowns in 2020 and beyond have required around 50 million American students to rely on the Internet to receive their education.1 However, 9.7 million of them have no reliable internet access in their homes.2 Some schools have resorted to installing Wi-Fi networks in school parking lots that are accessible to students, despite the health risks of people gathering.3 Moreover, the impact on their schooling is not the only impact exerted on young people by a lack of reliable internet access. It has also meant a lack of access to Netflix, TikTok, YouTube, and other forms of social media entertainment that have become important outlets for coping with boredom, loneliness, and even despair during the pandemic. Worse still, because virtually all health information about COVID-19 is online, a lack of internet access can be a matter of life or death.
Isotope Geochemistry Related to Petrology

Building upon the award-winning second edition, this comprehensive textbook provides a fundamental understanding of the formative processes of igneous and metamorphic rocks. Encouraging a deeper comprehension of the subject by explaining the petrologic principles, and assuming knowledge of only introductory college-level courses in physics, chemistry, and calculus, it lucidly outlines mathematical derivations fully and at an elementary level, making this the ideal resource for intermediate and advanced courses in igneous and metamorphic petrology. With over 500 illustrations, many in color, this revised edition contains valuable new material and strengthened pedagogy, including boxed mathematical derivations allowing for a more accessible explanation of concepts, and more qualitative end-of-chapter questions to encourage discussion. With a new introductory chapter outlining the “bigger picture,” this fully updated resource will guide students to an even greater mastery of petrology.
Research Review on the Chinese Dream since the New Era

Since the new era,the theory and practice of the Chinese dream have become the hot spot of academic research.The academia has conducted in-depth research on the background,core connotation,essential characteristics and realization path of the Chinese dream,and has achieved fruitful research results.However, there are still a lack of systematic integration of Chinese dream theory,lack of historical traceability of Chinese dream theory,lack of integration of Chinese dream and other disciplines,which need to be further discussed in the academic circles.
Sketch Colorization Based on Generative-Adversarial Neural Networks

Generative adversarial neural networks (GAN) successfully perform automatic colorization of character sketches. Such models can be further improved in such aspects as increasing the throughput, improving the colorization quality, and reducing the model size. Steps aimed at improving the colorization quality are taken. Known solutions are reviewed, and an initial GAN model with eight blocks in the generator encoder and decoder is developed and trained based on the review results. The second GAN model is obtained on the basis of the first one by including residual blocks in the generator encoder blocks with simultaneously using the attention blocks and residual blocks in the generator decoder. The third GAN model has been developed based on the second one: one block is added to the generator encoder and decoder. All models, including the initial and modified ones, have been trained on the same data set. The models have been trained either with or without using additional information about the image color (the color palette of the reference image or color hint labels). The trained models are evaluated with respect to the quality of the images they generate (colored sketches), determined by the Frechet Inception Distance metric. All modified GAN models generate images with quality superior to that of the initial model.
Privacy in content-centric networking against side channel attacks

Content-centric network (CCN) is a new networking paradigm to overcome the shortcomings of today's internet.The central point in CCN is the named and addressable data or the content.Due to a few loopholes within the engineering of CCN, side-channel attacks are conceivable.In this paper, two such types of attacks are investigated, i.e., time-based and inference-based.We proposed an algorithm to preserve consumer privacy against time based attacks without much affecting the overall network utility.A comparative study of privacy vs. utility trade-off is presented.The algorithm is analysed both experimentally and theoretically and results are reported.We have also analysed both theoretically and experimentally, the probability and possible impact of frequency analysis based inference side-channel attack.A method is proposed to collect the auxiliary information needed to carry out the attack by probing the cache of the CCN routers.Possible countermeasures to mitigate the attack are also discussed.
Wizer.me – organizational tool for interaction in the education system

The article considers a program that will help teachers in the process of traditional and distance learning based on didactic ideas, quality education and innovative thinking. In the field of education, it is important not only to provide ready-made materials and valuable resources, but also to present them in visual aids so that the student can quickly understand them. The fundamental issues in the development of new curricula are the strengthening of practice-oriented work through the implementation of a systematic activity approach, the development of functional literacy of students, the systematization of the content of the discipline by redistributing educational material by education levels and strengthening interdisciplinary integration. In the proposed article, in the traditional and remote geographical educational process, the section "Physical Geography" is used for the purpose of mastering and repeating in Wizer.me the ways of using the digital platform and the ways of building a system of tasks are given. The effectiveness of work on the assessment and reflection of the sequence of tasks proposed to students, feedback is revealed. The main feature of this platform is an accessible, user-friendly, multicomponent sequence of tasks that includes functions at all stages of the lesson (brainstorming, in order to consolidate the topic, summing up and feedback).
Autonomic scalability control for cloud workloads with Bayesian network

Cloud computing facilitates access to infrastructure, platform, and software to clients over the internet, on-demand. Clients run applications on cloud which are supported by virtual machines (VMs) running on top of physical machines (PM). Workload traffic coming to the cloud varies over time. To meet these changing workload demands the VMs must be scaled up and scaled down automatically to ensure that the service level agreement (SLA) parameters are not violated and client's quality of service (QoS) is maintained. This auto-scaling can be realised with a machine learning (ML) technique - Bayesian network (BN). In this article we propose a framework for autonomic scalability of cloud resources. The framework takes cloud data centre management dataset, selects SLA parameters of choice, discretises data of selected features, learns structural dependencies between these features and draws a BN, learns parameters, validates model, and after that makes decisions to either scale up or scale down on the basis of predictive and diagnostic capabilities of the BN model. The results achieved after evaluation are logical and consistent as prediction of workload demands and diagnosis of under utilisation of cloud resources is done with sufficient accuracy.
The role of school and family cooperation in inclusive education

Every year the number of children with disabilities and special needs increases in the world. The relevance of this topic is determined by the issue of inclusive education, which has become increasingly important in recent years. The purpose of the article is to theoretically substantiate the problem of inclusive education, to contribute to solving this problem through the interaction of school and family. The study analyzed a series of surveys of parents, and observed children with disabilities, using methods such as analysis, synthesis, generalization, diagnosis, and various practical work revealed comparative data. As a result of the experimental work, the levels of inclusion of children with disabilities in society, the level of knowledge, skills, and psychophysical development were identified, effective work in this area was determined, and comparative data were obtained. The materials of the article can be useful for school teachers, and educators in working with children with disabilities. Keywords: Collective work; Education; family interaction; health.
On the 3D-figure areas based on Pick's formula

This work is based on previous research focused on iterative procedures for estimation of the area surrounded by a simple closed curve in the 2D space. Pick's formula is employed for calculating the area surrounded by a special type of polygons. Here, we propose 3D-figure areas based on Pick's formula and give intuitionistic fuzzy and interval-valued intuitionistic fuzzy estimations of these areas.
Enhanced Hash Value and Public Key Infrastructure Generations for Blockchains Using Sooner Lightweight Cryptography

Blockchain technology (BT) uses strong cryptographic approaches to offer integrity to digital ledger systems by safeguarding them against data tampering on public channels in a trustless manner. BT concept has been deployed in cryptocurrency (or Bitcoin) to minimize double-spending. Confidentiality and privacy preservations continue to limit the benefits of BTs due to the openness of its transactions and publicly distributed ledger technology. To this time, anonymization and encryption-based mechanisms have been utilized to overcome these challenges. Particularly, BTs have the potentials to overcome the Internet of Things (IoT) privacy and security issues with the birth of BT-based IoT systems in recent times. These systems are less effective and less secure because large computations are involved during the forging of public key infrastructure (PKI), personally identifiable information (PII) is publicly available, and longer hash values are required, which are less supportive of real-time applications of resource-constrained devices. Consequently, a lightweight cryptosystem known as Sooner-C is proposed in this paper to reduce the complexity while improving the encryption and hashing used in BTs. The outcomes revealed that the proposed Sooner-C is more effective when compared to the traditional BT’s cryptosystem using encryption time (1672.2 secs to 18385.3 secs), decryption time (618.8 secs to 806 secs), ciphertext size (32-bits to 79-bits), and number of rounds (15 to 10), respectively. Therefore, it is recommended to offer privacy and integrity for blockchain-based applications by 61.21% (32-bits key size) to 38.79% (256-bits key size) as chances of breaking ciphertexts, hash values, and PKIs generated against traditional cryptosystems.