Reviewerly/exHarmony huggingface dataset:
The Concept of ‘Will–generated Cognition’ and its Role in Philosophical Enterprise

In epistemology, knowledge is the fundamental factor. In order to acquire knowledge, we have to go through various ways of knowing or the means of knowing like perception, inference, comparison, verbal testimony, presumption, non-cognition etc. In epistemology, knowledge presupposes the knowledge of something. The knowledge without content (aviṣayaka-jňāna), however, is found in case of AdvaitaVedānta. The Advaitins only admit a kind of knowledge which is of without content (aviṣayakajñāna) in case of Brahman. Brahman is the Knowledge itself. To them this knowledge has no content at all because Brahman itself is Knowledge, but not the knowledge of Brahman. In other words, we cannot tell that this is the knowledge of Brahman, but Brahman itself is Knowledge par-excellence. Apart from this system all others believe that knowledge has got some content of its own.1 That is why; knowledge is something through which an object is illumined. There are several ways of knowing as told earlier.
From Start-up to Market Leader: Google’s, Facebook’s and Twitter’s Legitimacy Discourse in the Media

How does media report on the actions of Google, Facebook and Twitter and how these reports signal with a more or less emotional delivery that these corporations and their acts are or fail to be legitimate? We are analysing articles published between 2000 and 2021 with a mixed-method design based on topic modelling, emotion and sentiment analysis and qualitative, comparative analysis. We observe a turning point in the reporting around 2017 moving from supporting descriptions of rule-breaking innovativeness to critical reporting as the firms become instrumental in creating polarized societies and furthering populism. Other serious problems linked to the corporations such as unfair competition and negative impact on user mental health were less relevant in the legitimacy discourse. We conclude that legitimacy loss is mainly driven by expectations of political responsibilities as these firms contribute to public governance, the provision of public goods and the restriction of public bads.
Blockchain-based Scalable and Secure EHR Data Sharing using Proxy Re-Encryption

Electronic Health Record (EHR) includes highly sensitive data like medical images, prescriptions, medical test result, medical history of patients, etc., These sensitive data cannot be transmitted in its original form in the network due to security issues. Hence, encryption is done prior to transmission. To increase the speed of data transfer and to overcome the storage issues, data is usually transferred through the cloud. Hence, to ensure the security and scalability of the data, a third-party encryption called re-encryption is performed at the proxy cloud. This re-encryption ensures that the data can be reliably transmitted through the network. In this research, a novel scheme called block-chain based EHR data sharing using chaotic re-encryption (BC-EDS-CR) is proposed. In the proposed scheme, re-encryption is performed using chaos theory. The proposed re-encryption scheme ensures that the cloud administrator cannot access the medical data. Metrics such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index (SSIM), entropy and correlation coefficient are used in evaluating this scheme. It was found that the proposed scheme outperforms the existing methods by achieving a PSNR of 57.66, SSIM of 0.985 and MSE of 0.058.
English Teachers’ Perceptions on The Usefulness, Ease of Use and Effectiveness of Youtube Videos as A Language Teaching Resource

Through innovation and creativity, YouTube has developed into a teaching resource that improves learning. Students are increasingly using it as a platform for cooperative learning and to promote self-learning. However, it is debatable if YouTube videos are an effective tool for language instruction. Thus, this study identifies the opinions of English teachers regarding the usefulness, ease of use, and effectiveness of YouTube videos as a tool for language instruction. 100 English teachers from primary schools in Perak, Malaysia participated in the quantitative study design and survey method used to gather the data. The participants were elementary school English teachers who were selected from a convenience sample. The research found that English teachers had a favorable opinion of the value of YouTube videos as course resources. Their enthusiastic responses were a reflection of their support for YouTube inclusion in English language learning as well as their positive judgments of its usefulness, ease of use, and effectiveness. This is due to the abundance of visually appealing, entertaining, and diverse contents on YouTube, which boosts students' enthusiasm and interest in learning English. Moreover, teachers can also easily obtain teaching resources on YouTube.
Tangible extended reality with sensor fusion

Many extended reality systems use controllers, e.g. near-infrared motion trackers or magnetic coil-based hand-tracking devices for users to interact with virtual objects. These interfaces lack tangible sensation, especially during walking, running, crawling, and manipulating an object. Special devices such as the Tesla suit and omnidirectional treadmills can improve tangible interaction. However, they are not flexible for broader applications, builky, and expensive. In this study, we developed a configurable multi-modal sensor fusion interface for extended reality applications. The system includes wearable IMU motion sensors, gait classification, gesture tracking, and data streaming interfaces to AR/VR systems. This system has several advantages: First, it is reconfigurable for multiple dynamic tangible interactions such as walking, running, crawling, and operating with an actual physical object without any controllers. Second, it fuses multi-modal sensor data from the IMU and sensors on the AR/VR headset such as floor detection. And third, it is more affordable than many existing solutions. We have prototyped tangible extended reality in several applications, including medical helicopter preflight walking around checkups, firefighter search and rescue training, and tool tracking for airway intubation training with haptic interaction with a physical mannequin.
Whether and Why do Time Theft Motives Matter?

Though often viewed as harmful by employers, employee time theft may be functional and constructive. In two studies, we identify motives of employee time theft and examine the impact of time theft driven by different motives. Specifically, in Study 1, we used a qualitative method to identify 13 types of time theft motives. In Study 2, we used a scenario-based experiment to examine how time theft associated with different motives affects employee work outcomes. Overall, we found that employees engage in time theft for not only self-oriented but also others- and work-oriented motives, and time theft driven by different motives have differential effects on employee work effort and organizational citizenship behavior. Implications for research and practice are also discussed.
Structural Analysis of URL For Malicious URL Detection Using Machine Learning

Malicious websites are intentionally created websites that aid online criminals in carrying out illicit actions. They commit crimes like installing malware on the victim's computer, stealing private data from the victim's system, and exposing the victim online. Malicious codes can also be found on legitimate websites. Therefore, locating such a website in cyberspace is a difficult operation that demands the utilization of an automated detection tool. Currently, machine learning/deep learning technologies are employed to detect such malicious websites. However, the problem persists since the attack vector is constantly changing. Most research solutions use a limited number of URL lexical features, DNS information, global ranking information, and webpage content features. Combining several derived features involves computation time and security risk. Additionally, the dataset's minimal features don't maximize its potential. This paper exclusively uses URLs to address this problem and blends linguistic and vectorized URL features. Complete potential of the URL is utilized through vectorization. Six machine learning algorithms are examined. The results indicate that the proposed approach performs better for the count vectorizer with random forest algorithm
A Study on the Use of Chat GPT and Copyright Issues

The development of big data analysis and deep learning technologies triggered by the 4th industrial revolution created an opportunity to expand the scope of application and application of artificial intelligence to our lives. Beyond the level where conventional artificial intelligence was merely a means of assisting human decision-making or action, it has reached a stage where it analyzes vast amounts of data to identify problems on its own, create optimal answers, and even self-examine errors. A representative example is the Chat GPT service. Recently, however, copyright infringement disputes have been reported in this regard. For example, in January 2023, Getty Images filed a copyright infringement lawsuit against Stability AI, the developer of 'Stable Diffusion', and in April 2023, Twitter CEO Elon Musk also announced its intention to file a copyright infringement lawsuit against Microsoft (MS). In this regard, in this paper, first, as an issue derived from data use, chat GPT does not disclose how to learn data, so it is difficult to confirm whether scrolling and scraping are prohibited information has been collected, and chat GPT service is fair. It was pointed out that there are elements that are difficult to see as use, that the scope of TDM exemption is different for each country, and that TDM exemption regulations have not yet been introduced in Korea. Then, as a way to determine and protect copyright infringement of chat GPT products, first, in relation to authors and rights attribution, the contribution of artificial intelligence and humans to creation is divided and marked by stages (by year), and rights attribution must be different accordingly, second, in relation to the judgment of substantial similarity, refer to the criteria for functional works, but in the case of artificial intelligence products, there is a limit to determining whether or not copyright infringement is caused only by human feelings, so plagiarism verification or copyright infringement prevention programs must be developed and applied. Third, in relation to copyright protection institutions, it is appropriate to stipulate the protection period of artificial intelligence products at 5 years, but a two-dimensional approach must be taken so as not to reduce the incentive for human creation. Fourth, in relation to civil and criminal legal responsibilities, the Product Liability Act Referring to the provisions of the Senate Civil Act, it was proposed that artificial intelligence developers and users jointly and jointly take responsibility in principle, but that responsibilities should be assigned differentially depending on whether there was a violation of the duty of care or negligence. Based on the contents examined in this paper, it is necessary to actively seek rational and systematic ways to regulate generative artificial intelligence services.
Process Business And External Environment In Mattering Service Quality: The Moderator of Knowledge Management

This quantitative study investigates the connections between knowledge management, business processes, and service quality. The study examines how corporate procedures directly affect service quality and how the outside environment affects it. It also looks into how knowledge management affects business processes and customer service quality. A sample of the medical industry in Tangerang City, Indonesia, received surveys, and 12 complete replies were examined. The results show that while the external environment significantly affects service quality, business practices do not directly influence it. The relationship between business processes and service quality is moderated by knowledge management, underscoring the significance of efficiently utilising organisational knowledge resources. These results point to the necessity of a comprehensive service quality improvement strategy that considers outside variables and employs efficient knowledge management techniques. Future research should overcome drawbacks like sample biases and explore these correlations using a variety of approaches and larger samples.
Pengembangangan Alat Penyiram Otomatis Dan Monitoring Budidaya Cabe Merah Berbasis Internet Of Things (Iot)

Technology of today has improved a number of spheres of life, including governance, agriculture, and education. Information technology use tries to provide efficiency in a number of ways. Given Indonesia's low level of technological development, particularly in the area of agriculture, innovation is unquestionably required if this country is to be competitive on the global stage. This is especially true in this era of globalization. Clearly, the agriculture sector has to develop technology that makes human labor more efficient and effective. Traditional farmers can benefit from technology in their operations to produce better yields and greater volumes. Red chili is one of the key agricultural products that needs to be developed because it has a high economic value, is a superior national and regional product, and occupies a significant place in the menu due to the fact that almost the entire population of Indonesia consumes it every day, albeit in small amounts. This plant can grow to a height of mdpl in both the lowlands and the highlands, but the lowlands are where it grows the best. The ideal air temperature range for growing chile plants is 18°C to 28°C. Fertilization might be hindered by temperatures between 16 and 32 degrees Celsius. The soil wetness of chili plants ranges between 60% and 80%. When limited space is available, growing red chilies either directly or in pots can be a solution. are hard to come by, especially for family needs. For farmers or plant owners, smart garden technology works and offers advantages, as well as a way to communicate with plants.
The Historical Criticism in The Women in the Castle by Jessica Shattuck

World War II occurred in Germany between 1933 and 1945, under the rule of Hitler and the Nazis, pitting Germany against the Allies. Propaganda played a significant role in their efforts to secure victory. Propaganda was employed to manipulate the perceptions and positions of various groups to align with the Nazis' agenda. This study focused on the forms of propaganda used by the Nazis against Non-Aryan groups, including Gypsies, Slavs, Jews, and Polish. It also explored how German society responded to this propaganda during the period of 1933-1945, as depicted in Jessica Shattuck's novel "The Women in the Castle." The research applied historical criticism, using the gray and black propaganda theories proposed by Seabury and Codevilla (1990). Additionally, the theories of gray and black propaganda by Garth S. Jowett &amp; Victoria O'Donnell (2005) were used to support the research findings. The study felt under the category of literary criticism, gathering data from quotes, conversations, and narratives found in the novel "The Women in the Castle," published in 2017 by William Morrow. The research yielded three main results: First, it identified seven instances of gray propaganda and three instances of black propaganda. Second, it uncovered nine positive and seven negative responses to Nazi propaganda targeting Non-Aryan groups. Finally, the novel "The Women in the Castle" effectively reflected the actual socio-political conditions of Germany from 1933-1945, spanning from Hitler's rise to power as chancellor to World War II and the Holocaust, which involved various propaganda efforts to garner support from the populace. However, there were also those who resisted and acted as opposition.
The Development of Android-Based Open-Ended Approach Teaching Materials on Squares and Triangles

In industrial revolution 4.0, education must follow and utilize information and communication technology. Android is an operating system on mobile devices, and Indonesia's most popular and widely used mobile device operating system. The Open-Ended approach is an approach in mathematics learning that provides opportunities for students to explore open problems with various strategies for solving problems. One problem that often arises in learning in schools is the study of the anchovies of each textbook varies, and the material contained in the book does not match the characteristics of the students.Â To realize this, the world of education needs to implement the use of e-Modules. Seeing this problem, the development of an android-based e-Module with an open-ended approach is required.Â Research and development with the ADDIE model is this type of research. The subjects of this study were as many as 15 middle school students in grade 8 for limited tests and 30 students for a broader test. The research aimed to produce Android-based electronic teaching materials with an open-ended approach to square and triangular materials. The resulting product is an e-Module in the form of an android package kit (APK).Â The result of the study concluded thatÂ the development of teaching materials with an android-based open-ended approach went well with the practicality test results obtained by 83%, which means that the teaching materials are efficient to use and got 86.6% in the effectiveness test, which means that the teaching materials developed are suitable for use.
Opening the Black Box of Employee Vulnerability to Cyberattacks

Organizations implement human resource management (HRM) practices to meet strategic goals by means of influencing employee behavior. In today's digital age, employee cybersecurity behaviors have become critical. Cybercrimes are on the rise, creating organizational liabilities, eroding credibility, and tarnishing the corporate image. Organizational insiders or employees are vulnerable to malicious actors such as hackers (or actors who are not authorized yet desire to access an organization’s information system). How employees become vulnerable is a burgeoning area of scholarship across multiple disciplines. In cybersecurity research, there have been calls to study how best to manage employee cybersecurity behaviors. Despite research on employee deviance, currently little research exists on how employee (unintentional) deviations from organization expected cybersecurity behaviors arise or what makes employees vulnerable to novel cyberattacks. To address this issue, this inter-disciplinary and conceptual work draws from research in cybersecurity, strategic Human Resource Management (HRM), and social cognition. I develop a theoretical model that unravels the role of HRM practices in impacting employee vulnerability to cyberattacks. The model proposes different mechanisms (depleting attentional resources and incentivizing attention allocation) through which the content and process of HRM practices impact employee cognitive load and employee vigilance. The theorizing also disentangles how employee vigilance relates to employee vulnerability to cyberattacks. The theory developed in this paper has implications for research on cybersecurity and strategic HRM. This work also generates insights for managers.
Strenghthening Digital Literacy of Elementary School Students Through Utilization of Wordwall as Game-Based Learning Interactive Media

The lack of innovative learning media impacts students' diminishing abilities. Besides that, other problems were also found in students' needing more digital literacy. This study aims to create the use of word walls as an interactive media game-based learning to strengthen digital literacy, especially for elementary school students. This type of research is qualitative research. The research method in this study is a qualitative method with a descriptive approach. The research subjects of upper-class students (grade V) totaling 20 people. Methods of data collection using observation, interviews, and documentation. The data collection instrument used a questionnaire. The data analysis technique uses qualitative descriptive analysis. The research results are that students are enthusiastic about participating in class so that learning becomes more enjoyable compared to conventional learning, and students do not feel bored when learning occurs. Based on digital literacy skills, it is known that students are capable and proficient in operating digital technology word wall templates chasing in mazes, and matching games from the beginning to the end of the game. Using word walls can strengthen digital literacy for elementary school students. This study concludes that using word walls is a new thing that can arouse students' enthusiasm in learning.
Effectiveness of Think-Talk-Write Technique to Teach Writing to Students with Different Personalities

This research analyzed the effectiveness of Think-Talk-Write (TTW) and Fact-Reason-Elaboration-Shift (FRESH) techniques for teaching writing to students with extroverted and introverted personalities. A quantitative and 2 x 2 factorial research design involved 60 eighth-grade students. Three instruments—a personality questionnaire, observation checklist, and writing test—collected data. Both TTW and FRESH techniques positively impacted the writing abilities of extroverted and introverted students, with TTW showing stronger improvement. Individual characteristics must be considered when selecting teaching techniques. The findings provide evidence of effective writing instruction for different personality types, emphasizing the need for tailored approaches. Future research should explore additional techniques and factors to enhance our understanding of effective writing instruction.
Direct generation of one-way Einstein-Podolsky-Rosen steering with a self-phase-locked optical parametric oscillator

Einstein-Podolsky-Rosen (EPR) steering, that is, an intermediate form of quantum correlations with asymmetry in between entanglement and Bell nonlocality, plays an essential role in quantum information processing, such as one-sided device-independent quantum cryptography tasks. Here we theoretically study the direct generation of EPR steering in ${\ensuremath{\chi}}^{(2)}$ nonlinear optical processes with cascaded crystals in a self-phase-locked optical parametric oscillator. Based on a standard linearization method, we analyze different conditions for generating EPR steering in Gaussian states with vanishing or nonzero mean fields, and also show bistable regions for different types of EPR steering. In particular, such system can intrinsically generate asymmetry one-way EPR steering, without introducing any postoperation. Our results suggest that the self-phase-locked optical parametric oscillator is a good candidate to generate different types of EPR steering at will by varying the cavity detunings, photon loss, or input pump power.
Flexible stitching interferometry for gull-wing asphere using variable-sign curvature compensation

Aspheres have widespread applications in modern optical systems; however, the high-precision testing of the gull-wing asphere (GWA) is still challenging. In this Letter, flexible stitching interferometry (FSI) has been reported using variable-sign curvature compensation (VSCC) to realize accurate GWA testing. The method involves varying the sign and magnitude of the outgoing wavefront curvature by relative translation of VSCC to compensate for the curvatures of subapertures, and alternating optimization stitching is utilized to obtain the full-aperture absolute phase. The feasibility and performance of the proposed method are demonstrated experimentally. To our knowledge, such a stitching interferometry using VSCC is here proposed for the first time, and could contribute to general aspheric interferometry.