Reviewerly/exHarmony huggingface dataset:
Mixed-Mode Dynamic Fracture Behavior of Soda-Lime Glass Studied using Digital Gradient Sensing Method

Structures often fail under combined tension and shear loads, and hence, it is critical to understand the mixed-mode fracture behavior of materials. In this work, the dynamic mixed-mode fracture of soda-lime glass (SLG) was experimentally investigated using the full-field optical method—digital gradient sensing (DGS). Freestanding single-edge notched specimens were subjected to reverse impact loading using a modified Hopkinson pressure bar. By eccentrically loading the specimens parallel to the initial notch, various mode mixities, from pure mode-I to nearly pure mode-II conditions, were achieved by changing the amount of eccentricity. Ultrahigh-speed photography was utilized in conjunction with DGS methodology to measure the angular deflection of light rays that are proportional to in-plane stress gradients in two orthogonal directions. In this ongoing research, mode-I and mode-II stress intensity factor histories prior to and at crack initiation will be evaluated in the next phase by performing an over-deterministic least squares analysis on optically measured full-field data. From the critical stress intensity factors at crack initiation, a fracture envelope for SLG encompassing different mode mixities will be developed. From the fractured samples, kink angles will be measured and compared with established fracture criteria.
Immersive virtual reality and spatial analysis

Based on significant technological advances in computer graphics and stereo-enabled immersive platforms, immersive virtual reality (IVR) provides a transformative technology capable of supporting advanced visualization and analytical capabilities that extend well beyond traditional 2D display devices and media forms. Virtual Reality applications in the entertainment industry are commonplace but have yet to common in educational settings. IVR enables a perceived artificial reality to be generated and streamed to users through a Cave Automatic Virtual Environment (CAVE) or, increasingly, head-mounted display devices who experience a profound sense of immersion in a scene and a neuropsychological sense of 'being there' and of 'presence'. During this psychophysical experience the user is stimulated to suspend belief about their actual physical space and are drawn into a simulated and virtually rendered world which is experienced as being real. Human cognition and human consciousness are critical to the immersive experience which draws heavily on human pareidolia and apophenia and the willingness of the creative mind to seemingly disengage from the physical reality of the projection space itself and to move seamlessly within the projected virtual world. This visuo-cognitive and seeming out-of-body experience separates the conscious self and the internal self-imagination from the surrounding physical world and differentiates IVR from more traditional 2D cartographic mapping and other graphical representations. Through highly interactive human-computer interfaces, considerable dynamic interaction occurs between the user, the system, and the virtual scene and conscious effort to interact with the data essentially 'disappears' as the user is unconsciously enveloped within the virtual scene. This experiential involvement provides a powerful, intuitive, and visceral experience that positions the user not as an external observer of data with limited visual dimensionality but as an active analytical agent embedded within a 3D world of data analytics capable of exploring multidimensional data and create new insights not previously deemed possible.
Designing and Developing A Teaching Scheduling Information System and A Mobile-Based Processing System: A Case Study in SMK Negeri 1 Tulang Bawang Tengah

The teaching scheduling system and value data processing used up to this point at SMK 1 Tulang Bawang Tengah are still not IT-based, which causes numerous errors, including schedules, changes to schedules that are inaccurate in real time, and the lengthy process of entering schedules, making it very difficult for staff. The schedule needs to be adequately organised, so we need an innovative method. The research that resulted in the development of this system was conducted using the waterfall methodology. The learning scheduling application and value data processing at SMK Negeri 1 Tulang Bawang Tengah were designed and developed utilising the waterfall technique, comprising four stages: analysis, design, coding, and testing. The results of black box testing applied to application testing show that the design matches expectations.
Analysis of Quantum Search Algorithm for Weighted Solutions: Simple Case

Quantum search algorithm proposed by Grover(Grover's algorithm) finds target data with equal probability for all target data. Y. Seo et al. [IEEE Access, vol. 10, pp.16209-16224 (2022)] proposed the quantum search algorithm for weighted solutions to discriminate the importance of target data. In the simple case, we represent the analysis of the algorithm. The low bound of the number of applying Grover operator <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$t$</tex> is described using amplitude expression. If we choose an appropriate <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$t$</tex> value, we provide the maximum ratio of the amplitude of high and low-importance target data. In addition, we arrange the maximum probability of high-importance target data using the bound.
Feature Selection for Ranking using Heuristics based Learning to Rank using Machine Learning

Machine Learning based ranking is done every filed. Ranking is also solved by using (LTR i. e. learning to Rank)techniques. In this work, we propose a Heuristics LTR based models for information retrieval. Different newalgorithms are tackling the problem feature selection in ranking. In this proposed model try to makes use of thesimulated annealing and Principal Component analysis for document retrieval using learning to rank. A use ofsimulated annealing heuristics method used for the feature Selection to test the results improvement. The featureextraction technique helps to find the minimal subsets of features for better results. The core idea of the proposedframework is to make use of k-fold cross validation of training queries in the SA as well as the training queriesin the any feature selection method to extract features and only using training quires make use of validationand test quires to create a learning model with LTR. The standard evaluation measures are used to verify thesignificant improvement in the proposed model. Performance of proposed model are measured based on predictionon some selected benchmark datasets, Improvement in the results are compare on recent high performed pairwisealgorithms.
An Improved Particle Swarm Optimization Algorithm Based on S-shaped Activation Function for Fast Convergence

In this paper an Improve particle swarm optimization algorithm(IPSO) is proposed in which an S-shaped activation function, which is inspired by the neural networks is used to update the acceleration factors, which play a significant role in fast convergence of particles within a given search space. So, in order to keep parity between the exploration and exploitation this S-shaped activation function take into account both the distance of the particle to its Pbest(Personal best position) and from a particle to its Gbest(Global best position), That's how its enhance the convergence rate. The proposed Improved PSO algorithm with S- shaped activation function is tested on some famous complex benchmark functions and its is also compared with some well-known PSO variants.
SQL Server Security Model

SQL Server 2022 offers a complex security model with overlapping layers of security that help database administrators (DBAs) counter the risks and threats in a manageable way. It is important for DBAs to understand the SQL Server security model so that they can implement the technologies in the way that best fits the needs of their organization and applications. This chapter discusses the SQL Server security hierarchy before demonstrating how to implement security at the instance, database, and object levels.
Auditing and Ledger

Passive security refers to the practice of logging user activity in order to avoid the threat of nonrepudiation. This is important because if an attack is launched by a privileged user, it allows for appropriate disciplinary or even legal action to be taken. SQL Server provides SQL Server Audit to assist with implementing passive security. SQL Server 2022 also introduces Ledger, which uses blockchain technology to make data tamper-evident, which allows for streamlined auditing processes. In this chapter, we will discuss the new ledger functionality, how to implement it and how to use it to discover who has changed data. We will also explore the concepts involved in auditing before demonstrating how to implement SQL Server Audit, including the creation of custom audit event.
Compression Of Acquired Data In Order To Make Transmission And Processing More Efficient

The article below briefly presents the subject of lossy compression for various types of sensor acquired data. The type and amount of data from the transmission line sensor network will be analyzed, the data compression algorithms will be compared, and a proposed efficient lossy compression algorithm suitable for transmission line data will be favored. It presents what is currently in use on the market.
Human Activity Detection based on Infrared Array Sensor using Advanced Deep Learning Technique

Tracking the activities of elderly people is an important issue. To detect emergencies such as falls so that loved ones can promptly handle them when they are not at home. In this paper, we propose a method based on an infrared array sensor of 8x8 pixels combine with a hybrid deep learning model combining a Convolutional Neural Network (CNN) and a Long Short-Term Memory (LSTM) for human activity detection. Experimental results show that the typical activities can be recognized with an accuracy of 99%. The proposed approach obtained a better result compared to the existing other methods with low cost for privacy-preserving scenarios.
Efficient Extreme Motion Planning by Learning from Experience

In this paper, we propose the segment-based roadmap (SRM) method for extreme motion planning. Unlike existing roadmap-based approaches, each vertex in the SRM contains a sequence of configurations. This segment-based motion planning can effectively handle the narrow passage problem caused by stability constraints in a high dimensional space. The SRM is generated from trajectory examples and trajectory optimization. We extract motion segments from the trajectory examples. The extracted motion segments and its connection is stored in vertex set and edge set, respectively. Furthermore, a trajectory optimization method is used to increase the con-nectivity of the SRM. In particular, a Gaussian random path (GRP) is used to initialize the trajectory optimization problem and shown to be more effective in terms of final cost as well as the running time. In simulation study, the average final cost using the GRP initialization shows 96.7% improvements compared to the initialization with linear interpolation which is often used in practice. In experiment study, we conducted experiments on NAO in order to verify the proposed motion planner using the SRM.
Impact of Online School Sport Club on Middle School Students’ Grit and Engagement in Physical Education Class

Purpose: The purpose of this study is to find a solution is a strategy of physical activities improvement to the problems faced by middle school students due to COVID-19.BR Method: To achieve the purpose of this study, middle school students in Seoul were selected to answer the survey through the online. Among the 113 questionnaires collected, the study results were analyzed for 102 samples except for 11 questionnaires that were duplicated or responded unfaithfully. The questionnaire for this study was based on a previous study that validated Grit and engagement in physical education class, and it was modified for the purpose of this study. The collected data were processed through the SPSS statistical program, and analyzed for the relationship among the variables using one-way ANOVA, multiple regression analysis and correlation analysis.BR Results: First, the grit of middle school students indicated a significant difference according to the period of participation in the online school sports club. Second, the engagement of middle school students in physical education class indicated a significant difference according to the period of participation in the online school sports club. Third, it was found that the perseverance of effort factor of students who participated in an online school sports club had a significant effect on all sub-factors of engagement in physical education class. However, consistency of interest factor didn’t have a significant effect on engagement in physical education class.BR Conclusion: Comprehensive results of this study show that participation in an online school sport club has a positive effect on middle school students’ grades and engagement in physical education class, and there is a correlation between the sub-factors.
ERACE: Toward Facilitating Exploit Generation for Kernel Race Vulnerabilities

Since a large number of Linux kernel vulnerabilities are discovered every year, many vulnerabilities cannot be patched in time. Security vendors often prioritize patching high-risk vulnerabilities, and the ratings of vulnerabilities need to be evaluated based on factors such as exploitability and the scope of influence. However, evaluating exploitability is challenging and time-consuming, especially for race vulnerabilities, whose exploitation process is complicated and the success rate of exploitation is low, making them more likely to be overlooked. In this paper, we propose a new framework, called ERACE, to facilitate the process of exploiting kernel race vulnerabilities. Given a program called a proof of concept (PoC) that can trigger a race vulnerability, ERACE first applies a combination of dynamic and static analysis techniques to locate the instruction that causes the race. Then, it applies code instrumentation and static analysis to determine the timing relationship between the race instructions and the triggering type of the vulnerability and records the vulnerability context information. Next, it uses backward taint analysis to identify checkpoints that can be used to determine whether the race condition and heap spraying are satisfied and records the system calls to which the checkpoints belong. Finally, we can generate exploits based on the information collected above. To demonstrate the utility of ERACE, we tested it on 23 real-world vulnerabilities. As a result, we successfully detected the race points of 19 vulnerabilities, the timing relationship among the race instructions, and the triggering types of 17 vulnerabilities and succeeded in generating exploits for 13 vulnerabilities. ERACE can effectively help security researchers simplify the analysis process of kernel race vulnerabilities, select appropriate exploitation methods, and use checkpoints to increase the success rates of exploitations.
Conducting Musical Styles

A competent condctor must do more than beat time. They must interpret the music, reflecting through gesture the style, expression, and dynamics of the score. The focus of this chapter is that the conductor should retain the standard beat patterns for the sake of clarity but imbue these beat patterns with expressive qualities by modifying the connecting gestures between beats. In combination, these gestures can portray the style of the music. Conductors express a musical style by modifying the gestures between beats within the conducting pattern. You conduct this style with flowing, curved gestures that connect the beat points in the pattern. To achieve this separation in conducting, you should move the baton quickly from beat to beat in relatively straight lines, stopping momentarily on each count as if flicking water off of the end of the baton. Note that this baton speed between beats does not affect the tempo. Conduct louder, more vigorous staccato music using larger patterns at a somewhat lower plane of beating. Conduct with smoothness, intensity, weight, and slow movement between beats to stretch the notes. Conduct this separation with a small, subtle flick of the baton. Conduct short, straight, connected lines without forearm tension to define the beat pattern. This non-expressive beat is effective for neutral backgrounds, where the important job of the conductor is to maintain precision in the accompaniment.
Beat Patterns and Preparations in Tempo, Dynamic, and Basic Style

The conducting patterns evolved with metric music. Ideally, these hand motions serve to visually portray the sounding structure of the meter by placing strong and weak metric accents appropriately in the pattern. The plane of beating also may be placed at a higher or lower level to represent the dynamics and style of the music. However, the conducting gesture consists of more than arm movement; it includes inhalation, physiognomy (facial expression), and chin motion (subtle head nod) on the beginning upbeat, and it should radiate tempo and expression. To assure the exact tempo of the preparatory beat for the music that follows, feel inwardly the pulse of the music; and count it to ourself.
Expressive Conducting and the Left Hand

Expression, dynamics, and phrasing are emphasized in these excerpts. You achieve expressive interpretation of the score through the independent use of hands. Your left hand is the musical artist, augmenting and enhancing the various functions of the right hand. Refer frequently to Part I, Chapter 10, especially the sections on dynamics, nuance, and phrasing, and Figure 10.2. Also read the Rubato section and conduct Figure 10.3, which illustrates types of phrase movement as applied to Excerpt 10–4. Peruse the section Expressive Conducting in this chapter for a solid foundation.
Tempo Changes and Accompanying

This chapter allows the musicians to learn for leading the group through gradual and sudden tempo modifications while maintaining ensemble unity and precision. However, players depend most on a conductor’s strong leadership when the tempo changes suddenly or fluctuates gradually, as in transitional passages and accompaniments. The timing of the preparations is critical for precision and dramatic effect. Downbeats must be clear for musicians to keep their places, especially when they enter at varying times. The conductor and soloist should review the score together before rehearsal to agree on an interpretation. In performance, they should maintain rapport for the right balance of give-and-take in leadership to achieve the dramatic and expressive effects that spontaneity, or at least the appearance of spontaneity, provides.
Divided Meters

The preparatory beat in divided meter should be the value of the smallest unit you are beating. In this excerpt, it is an eighth note. Here, the prep is the count of eight in adagio tempo, forte, and separated. Conduct a four-pattern, pulsating twice on each count to articulate the eight beats. Think: 1–1, 2–2, 3–3, 4–4; stroke-wrist, stroke-wrist, and so on. (Refer to Part I, Figure 5.1 and Video 5–1 .) Employ the left hand to signal the subito style changes from forte-marcato to piano-staccato. Vary the size and style of your conducting pattern to match the musical style. Consider placing the baton forward toward the ensemble for forte and close to your body for piano. (See Part 1, Chapter 10, “Subito Contrasts” and Figure 10.1.)
Divided Meters

This chapter allows the musicians to learn traditional and effective applications of beat division in relation to major patterns in simple and compound meters. Employ beat division to achieve clarity and intensity of the rhythmic flow for the very slow movements, traditional adagio introductions, and for passages where the tempo slows gradually (ritardando) or suddenly (ritenuto). Conducting Divided Meter should conduct beats rather than attempt to beat out the rhythm of notes, even in the slowest tempos. Therefore, the musicians should use beat divisions only when the tempo is too slow to maintain a steady, regular flow of the main counts.
Preparations and Releases for All Counts

A preparatory beat consists of one extra count before the first count of music. This excerpt begins on count two of the three pattern in a brisk tempo. Start center with the modified preparatory position. To bring in the music on count two, give count one in an arc as the prep, breathing in on the rebound. Conduct two counts of preparation to avoid confusion. Since the opening two-count rest is included in all parts by the composer, conduct beat one as a “dead,” neutral count and beat two as a “live” prep. Pay attention to the accompaniment to align the syncopation and highlight the percussion part.
Formulation optimization and disinfection effect evaluation of electric active chlorine disinfectant

Compared with the traditional “three in two” disinfectant, the electric active chlorine disinfectant has the advantages of safe raw materials, low comprehensive cost and high disinfection stability. Its “ready to use” feature avoids the transportation and storage risks of the traditional chlorine-containing disinfectant and reflects the new disinfection concept from agent consumption to energy consumption. In this paper, the electric active chlorine disinfectant was used as the raw material, the mustard gas simulant 2-CEES was used as the disinfection object, and a surfactant was selected to improve the reaction rate. A disinfection formula containing surfactant and cosolvent was studied by response surface methodology regression analysis; the optimal ratio and pH value were obtained by curve fitting, and the influence of the interaction of the three influencing factors on the disinfection rate was analyzed. The results showed that the mass fraction of SDS, the mass fraction of isobutanol and the pH of the system all have a very significant impact on the disinfection rate. The sum of the squares of pH value and the interaction term between SDS mass fraction and pH value has a significant impact on the disinfection rate. By response surface analysis, the optimal ratio of the disinfection system was determined to be c (SDS) =1.422%, c (isobutyl alcohol) =15.778%, and pH =10.8, and the disinfection efficiency of 2-CEES was increased from 72.62% to 99.98% in ten minutes after formulation, showing high disinfection efficiency and strong practical value.
Fractional Beat Preparations

This chapter facilitates our conducting of preparatory beats for music that begins on a fraction of the count. Many musical compositions begin on a fractional unit of the beat. The musicians must decide on the best method of preparation for each composition and execute it well to elicit a precise, unified response. As a general rule, the musicians should provide either one count or two counts of preparation. For the one-count-prep method, the musicians use the prior beat within which the fraction occurs as the preparatory beat. In other words, prepare the first full beat that follows the fraction and subsume the fraction within the preparation. For the two-count-prep method, the musicians beat two counts of preparation. Although the double preparatory establishes the tempo securely and should result in a more unified attack.
A Deeper Look to What Influence Software Teams

For most of this book, we talked about the MVP development of the JollyFarm app. But if we did a good job, there’s a chance this story will go on and on to other stages and better and bigger features. Regardless of the moment we talk about—fresh start, scaling, legacy—you will need one or more teams to do the development of this and other products. These teams need to work well together and, hopefully, fix bugs and deliver features with efficiency and quality.