Reviewerly/exHarmony huggingface dataset:
Defending Against Flush+Reload Attack With DRAM Cache by Bypassing Shared SRAM Cache

Cache side-channel attack is one of the critical security threats to modern computing systems. As a representative cache side-channel attack, Flush+Reload attack allows an attacker to steal confidential information (e.g., private encryption key) by monitoring a victim's cache access patterns while generating the confidential values. Meanwhile, for providing high performance with memory-intensive applications that do not fit in the on-chip SRAM-based last-level cache (e.g., L3 cache), modern computing systems start to deploy DRAM cache between the SRAM-based last-level cache and the main memory DRAM, which can provide low latency and/or high bandwidth. However, in this work, we propose an approach that exploits the DRAM cache for security rather than performance, called ByCA. ByCA bypasses the L3 shared cache when accessing cache blocks suspected as target blocks of an attacker. Consequently, ByCA eliminates the timing difference when the attacker accesses the target cache blocks, nullifying the Flush+Reload attacks. To this end, ByCA keeps cache blocks suspected as target blocks of the attacker and stores their states (i.e., flushed by clflush or not) in the L4 DRAM cache even with clflush instruction; ByCA re-defines and re-implements clflush instruction not to flush cache blocks from the L4 DRAM cache while flushing the blocks from other level caches (i.e., L1, L2, and L3 caches). In addition, ByCA bypasses L3 cache when the attacker or the victim accesses the target blocks flushed by clflush, making the attacker always obtain the blocks from L4 DRAM cache regardless of the victim's access patterns. Consequently, ByCA eliminates the timing difference, thus the attacker cannot monitor the victim's cache access patterns. For L4 DRAM cache, we implement Alloy Cache design and use an unused bit in a tag entry for each block to store its state. ByCA only requires a single bit extension to cache blocks in L1 and L2 private caches, and a tag entry for each block in the L4 DRAM cache. Our experimental results show that ByCA completely eliminates the timing differences when the attacker reloads the target blocks. Furthermore, ByCA does not show the performance degradation for the victim while co-running with the attacker that flushes and reloads target blocks temporally and repetitively.
Developing creative activity abilities of students in higher educational establishments

The article discusses methods for solving geometric problems with the active use of methods such as analysis and synthesis, analogy and generalization, based on theoretical thinking on the principle of ascent from simple to complex in order to develop students' ability to creative activity. The authors have developed systems of problems, focused on the formation of their ability to "make" independent discoveries both in the process of solving a problem and at the stage of researching the result of the solution. The developed system of problems is aimed at finding a way to solve a more complex problem, after a similar method has been used in relation to another simpler or particular problem. The participants in the experiment are future masters of pedagogical education (profile "Mathematical Education") at Togliatti State University. The article shows that the most effective methods of preparing future masters of mathematics education for creative professional activity can be such methods of scientific knowledge as analogy and generalization. It was revealed that in the process of learning to solve geometric problems included in the developed system, students demonstrate higher indicators of the level of formation of creative activity, as a result of the development of the ability of the future master of pedagogical education (profile "Mathematical Education") to analogy and its application in specific situations, his ability to use the established properties, skills and abilities formed, techniques and methods of action in relation to another object in new conditions and for new purposes, the use of mathematical concepts and theorems in more and more diverse specific problems.
The Asset Management and Tracking System for Technical and Vocational Education and Training (TVET) Institution Based on Ubiquitous Computing

Generally, Technical and Vocational Education and Training (TVET) has numerous types of assets used for conducting various skill-based learning activities. The failure to properly manage the TVET assets can lead to inefficient operation and administration, such as difficulty in tracking the history of the asset, location, and users. The research solved the problems by developing and implementing asset management and tracking system based on ubiquitous cloud computing for movable and fixed assets. The research activities were conducted in Politeknik Negeri Balikpapan, one of ten state-owned TVET institutions in Indonesia. This system was accessed using a web and mobile application. Quick Response (QR) code was used for asset identification to make a mobile device read the code with their built-in camera. Meanwhile, the geolocation was attached to provide the spatial information of assets’ whereabouts. Then, the research adopted the 5W1H question principle, so all aspects of asset management were collected and understood. The results show that the system helps TVET to keep track of their equipment and vital inventories in realtime. Moreover, the implementation of the system has a great impact administratively and ease in delivering instantaneous data and assets history for decisionmaking to internal and external asset auditors.
Ansatz-Independent Variational Quantum Classifiers and the Price of Ansatz

The paradigm of variational quantum classifiers (VQCs) encodes classical information as quantum states, followed by quantum processing and then measurements to generate classical predictions. VQCs are promising candidates for efficient utilizations of noisy intermediate scale quantum (NISQ) devices: classifiers involving M-dimensional datasets can be implemented with only [Formula: see text] qubits by using an amplitude encoding. A general framework for designing and training VQCs, however, is lacking. An encouraging specific embodiment of VQCs, quantum circuit learning (QCL), utilizes an ansatz: a circuit with a predetermined circuit geometry and parametrized gates expressing a time-evolution unitary operator; training involves learning the gate parameters through a gradient-descent algorithm where the gradients themselves can be efficiently estimated by the quantum circuit. The representational power of QCL, however, depends strongly on the choice of the ansatz, as it limits the range of possible unitary operators that a VQC can search over. Equally importantly, the landscape of the optimization problem may have challenging properties such as barren plateaus and the associated gradient-descent algorithm may not find good local minima. Thus, it is critically important to estimate (i) the price of ansatz; that is, the gap between the performance of QCL and the performance of ansatz-independent VQCs, and (ii) the price of using quantum circuits as classical classifiers: that is, the performance gap between VQCs and equivalent classical classifiers. This paper develops a computational framework to address both these open problems. First, it shows that VQCs, including QCL, fit inside the well-known kernel method. Next it introduces a framework for efficiently designing ansatz-independent VQCs, which we call the unitary kernel method (UKM). The UKM framework enables one to estimate the first known computationally-determined bounds on both the price of ansatz and the price of any speedup advantages of VQCs: numerical results with datatsets of various dimensions, ranging from 4 to 256, show that the ansatz-induced gap can vary between 10 and 20[Formula: see text], while the VQC-induced gap (between VQC and kernel method) can vary between 10 and 16[Formula: see text]. To further understand the role of ansatz in VQCs, we also propose a method of decomposing a given unitary operator into a quantum circuit, which we call the variational circuit realization (VCR): given any parameterized circuit block (as for example, used in QCL), it finds optimal parameters and the number of layers of the circuit block required to approximate any target unitary operator with a given precision.
Enhancing entanglement detection of quantum optical frequency combs via stimulated emission

We investigate the performance of a certain nonclassicality identifier, expressed via integrated second-order intensity moments of optical fields, in revealing bipartite entanglement of quantum-optical frequency combs (QOFCs), which are generated in both spontaneous and stimulated parametric down-conversion processes. We show that, by utilizing that nonclassicality identifier, one can well identify the entanglement of the QOFC directly from the experimentally measured intensity moments without invoking any state reconstruction techniques or homodyne detection. Moreover, we demonstrate that the stimulated generation of the QOFC improves the entanglement detection of these fields with the nonclassicality identifier. Additionally, we show that the nonclassicality identifier can be expressed in a factorized form of detectors quantum efficiencies and the number of modes, if the QOFC consists of many copies of the same two-mode twin beam. As an example, we apply the nonclassicality identifier to two specific types of QOFC, where: (i) the QOFC consists of many independent two-mode twin beams with non-overlapped spatial frequency modes, and (ii) the QOFC contains entangled spatial frequency modes which are completely overlapped, i.e., each mode is entangled with all the remaining modes in the system. We show that, in both cases, the nonclassicality identifier can reveal bipartite entanglement of the QOFC including noise, and that it becomes even more sensitive for the stimulated processes.
A p-Laplacian Random Walk: Application to Video Games

A graph random walk is presented. It is derived from the p-Laplacian similarly tothe derivation of the canonical random walk from the Laplacian. This variant enables quicker exploration while still sticking to the connection constraints given by the graph. A potential application is shown for video games.
The descriptive complexity of connectedness in Polish spaces

We investigate the descriptive complexity of connectedness (and also pathwise connectedness and local connectedness) of Polish spaces, and prove that even in the framework of finite-dimensional euclidean spaces this complexity can be the highest possible,
Quantifying Daseinisation Using Shannon Entropy

Topos formalism for quantum mechanics is interpreted in a broader, information retrieval, perspective. Contexts, its basic components, are treated as sources of information. Their interplay, called daseinisation, defined in purely logical terms, is reformulated in terms of two relations: exclusion and preclusion of queries. Then, broadening these options, daseinisation becomes a characteristic of proximity of contexts; to quantify it numerically, Shannon entropy is used.
The Effect of Contextual in Teaching Materials on Writing Kid Stories Grade 4th Elementary School in Surakarta

Children learn to use symbols, combining their oral language, pictures, print, and play into a coherent mixed medium and creating and communicating meanings in a variety of ways. From their initial experiences and interactions with adults, children begin to read words, processing letter-sound relations and acquiring substantial knowledge of the alphabetic system. As they continue to learn, children increasingly consolidate this information into patterns that allow for automaticity and fluency in reading and writing. Consequently, reading and writing acquisition is conceptualized better as a developmental continuum than as an all-or-nothing phenomenon. But the ability to read and write does not develop naturally, without careful planning and instruction. Children need regular and active interactions with print. Specific abilities required for reading and writing come from immediate experiences with oral and written language. Experiences in these early years begin to define the assumptions and expectations about becoming literate and give children the motivation to work toward learning to read and write. From these experiences children learn that reading and writing are valuable tools that will help them do many things in life. The aims of research consist of the following to know effect contextual in teaching materials on writing kid stories grade 4th Elementary School in Surakarta. The study employs experiment method which the data are collected by interview, observation, document analysis, and Forum Group Discussions (FGD), questionnaire, and test. Result of the research sig value. &lt;from α or 0.03 &lt;0.05, so Ho = rejected and H1 = accepted which means there is a difference of effectiveness between learning with conventional teaching material used by teacher with teaching material on writing kid stories based on contextual.
GTNet:Guided Transformer Network for Detecting Human-Object Interactions

The human-object interaction (HOI) detection task refers to localizing humans, localizing objects, and predicting the interactions between each human-object pair. HOI is considered one of the fundamental steps in truly understanding complex visual scenes. For detecting HOI, it is important to utilize relative spatial configurations and object semantics to find salient spatial regions of images that highlight the interactions between human object pairs. This issue is addressed by the novel self-attention based guided transformer network, GTNet. GTNet encodes this spatial contextual information in human and object visual features via self-attention while achieving state of the art results on both the V-COCO and HICO-DET datasets. Code will be made available online.
Quality and competitiveness of educational services in the view of students: problems and perspectives

Nowadays, various transformations are taking place in higher education in Russia, which is primarily determined by the fact that the issue of ensuring the quality of educational services, increasing the requirements for the level of university graduates - future specialists and the introduction of new teaching methods is quite acute. The research aims to study the peculiarities of students' perception of the quality of education. As a research method, we used a questionnaire survey to quickly and effectively investigate students' idea of the quality of educational services provided to them. The article examines students' attitude to the education they receive and reveals the students' representation of the demand for the education they receive in the labor market. The study's novelty and originality lie in the fact that students' ideas about the quality of educational services are considered. It is revealed that the knowledge that graduates receive is evaluated as high quality, and several shortcomings identified by students in professional training (insufficient knowledge of practical skills, foreign languages) are revealed. It is shown that according to graduates, the level of training of specialists mainly meets the requirements of the labor market. The practical significance of the data obtained in this work lies in their use in social psychology, age psychology, marketing, and further theoretical development of this issue.
Organization of methodological support of the educational process in higher education

The creation and improvement of modern information technologies require higher education institutions to introduce new approaches to learning, ensuring the development of communicative, creative and professional knowledge, and the need for self-education. The introduction of information technology in the educational process of universities is moving to a new stage - the introduction of new multimedia educational materials. A large number of diverse information resources are being created in Russia, which have significantly improved the quality of educational and scientific activities. More and more often multimedia technologies are used in training, the spectrum of which has expanded significantly: from the creation of training programs to the development of a holistic concept for building educational programs in the field of multimedia, the formation of new learning tools. Methodically, the textbooks are structured in such a way that they meet the programs of leading universities in Europe and the requirements of a credit-modular system for organizing the educational process, which laid the foundation in our country like the ECTS system adopted in the Bologna process. The practical value lies in the fact that the textbooks allow students, bachelors, masters and graduate students of technical universities to independently master the knowledge of modern electronics. The materials of the textbook will help specialists in practice in the development, implementation and operation of electronic devices and systems, which are an integral part of electrical, radio engineering, telecommunications, computer, biomedical and other devices and complexes, technological equipment for automating technological processes, marine, space and defense equipment.
Formation Features and Prediction Criteria for Gold-Sulphide deposits (East Kazakhstan)

The region under consideration is part of the Central Asian mobile belt system, organized by a large geo structure of the Greater Altai (GA), which integrates geological structures of the Rudny Altai, Kalba, Zharma-Saur and adjacent districts of Russia and China.The regional goldore sites vary by ore formation types, age, geological formation conditions and mineralization scale.The largest among them are the Ridder-Sokolny gold-polymetallic deposit in the Rudny Altai and the Bakyrchik deposit of the gold-sulphide-carbonaceous type in West Kalba, comparable in many ways with the world sites of Sukhoi Log and MurynTau in the black shale strata.In recent years, much attention was paid to prediction and assessment of the unconventional (apocarbonate) goldsulphide type of mineralization, associated with the island volcanic-carbonate-terrigenous formation С1v2-3 (the Suzdal deposit and others).The present paper considers new results acquired from the studies of the gold-ore sites of the Suzdal type.
Gujarati Language Model: Word Sense Disambiguation using Supervised Technique

Word Sense Disambiguation (WSD) is a complex problem as it entirely depends on the language convolutions. Gujarati language is a multifaceted language which has so many variations. In this paper, the debate has advanced two methodologies for WSD: knowledge-based and deep learning approach. Accordingly, the Deep learning approach is found to perform even better one of its shortcoming is the essential of colossal data sources without which getting ready is near incomprehensible. On the other hand, uses data sources to pick the implications of words in a particular setting. Provided with that, deep learning approaches appear to be more suitable to manage word sense disambiguation; however, the process will always be challenging given the ambiguity of natural languages
Certain Diagonal Equations and Conflict-Avoiding Codes of Prime Lengths

We study the construction of optimal conflict-avoiding codes (CAC) from a number theoretical point of view. The determination of the size of optimal CAC of prime length $p$ and weight 3 is formulated in terms of the solvability of certain twisted Fermat equations of the form $g^2 X^{\ell} + g Y^{\ell} + 1 = 0$ over the finite field $\mathbb{F}_{p}$ for some primitive root $g$ modulo $p.$ We treat the problem of solving the twisted Fermat equations in a more general situation by allowing the base field to be any finite extension field $\mathbb{F}_q$ of $\mathbb{F}_{p}.$ We show that for $q$ greater than a lower bound of the order of magnitude $O(\ell^2)$ there exists a generator $g$ of $\mathbb{F}_{q}^{\times}$ such that the equation in question is solvable over $\mathbb{F}_{q}.$ Using our results we are able to contribute new results to the construction of optimal CAC of prime lengths and weight $3.$
Evaluation of Phishing Websites Using WPM Method

Phishing websites, a new type of malicious software, have proliferated online in recent years, posing a serious threat to data security and online financial services.In this study, we develop and apply an intelligent model for phishing website detection.This study looks at spammers' behavior at the network level, including the IP address ranges that send the most spam, common spamming techniques (such as BGP redirects and bots), the characteristics of each spamming host, and spamming botnets.We simulate a multi-echelon system in which disruptions may arise and various mitigation measures may be assessed at any point to safeguard client service in the event of an interruption.Strategies that make use of the network itself include satisfying demand by purchasing goods or arranging for transportation from a different source or route within the network, as well as keeping strategic inventory balances throughout the network.One of the fastestgrowing crimes on the Internet is phishing, a type of online identity theft.The anti-phishing (APA) protocol, which is based on SPEKE a Password Authenticated Key Exchange (PAKE) protocol, is one of many countermeasures and proposals that have been made over the years.This paper demonstrates how the APA protocol is susceptible to malicious server assaults, password compromise impersonation, and intermediate key compromise impersonation.A protocol with improved antiphishing features, such as mutual authentication and forward secrecy, is also suggested.Large amounts of spatial data may be obtained via satellites, radars, and sensor networks thanks to developments in information technology and innovative approaches.This paper is a weighted product for solving the routing decision problem Model (WPM) used.Every Dynamically assigns weights to criteria This proposed scheme Considers the relevant valuation method for Alexa, Alexa Login, Phish Tank, APWG, and Open Phish.URLs, Extracted, Domains, TLDs, and Logins.Alexa, Alexa Login, Phish Tank, APWG, Open Phish.URLs, Extracted, Domains, TLDs, and Logins.APWG is got the first rank whereas Open Phish has the Lowest rank.
WEB BROWSER’S INSPECTION TOOLS INFLUENCE ON THE SUCCESSFUL IMPLEMENTATION OF WEBSITES

This research paper examines the impact of the qualities of web browser inspection tools (Agility, Integration, and Quality) on the successful implementation of websites.A research model was designed to test the impact of the independent variables of the model, namely the characteristics of web browser's Inspection Tools (Agility, Integration, and Quality) on the dependent variable (successful design of website Applications), and a questionnaire was designed and distributed on a random sample of 249 web developers, web analysts, CSS designers, UI application designers, and systems integrators who were chosen at random from a population of 51 web development companies to fulfill the research objectives.The statistical analysis results indicated a beneficial influence of the characteristics of inspection tools (Agility, Integration, and Quality) on the effective implementation of Websites.This paper added new knowledge to the body of knowledge regarding the effective use of website inspection tools.