Reviewerly/exHarmony huggingface dataset:
Exploring the Tradeoff between Utility and Privacy for Analyzing Stock Trend

In this study of exploring the tradeoff between utility and privacy, we have used the S &amp; P 500 data as a proof of concept, for Association Rule Data Mining using privacy-preserved data. The purpose of choosing S &amp; P 500 was that unlike synthetically generated data, S &amp; P 500 index though public, was real-world data nonetheless and hence incorporated in it all the political and social events that occurred over the period of time under consideration. Secondly, we could use stock price as a quasi-identifier. Any seasoned stockbroker would be able to identify the organization simply by looking at the stock price fluctuations over a period even if the ticker information is removed. And stock price is the most important variable used in any data mining related with stock market. Hence, we had to perturb this one variable in order to test for anonymity and utility. Finally, the data being numerical in nature helped us utilize the statistical data perturbation techniques. Association rule mining techniques were first applied to the original data. The data was then perturbed and, once again, using binary similarity algorithms, trend matching was performed on the identified stocks from the original data. The three tests of different random data generations were evaluated for data utility and privacy. The results re-emphasized on the tradeoff between the data utility and privacy where greater perturbation meant greater privacy but higher utility loss and vice versa.
Speech Semantic Communication Based On Swin Transformer

Semantic communication is a novel communication paradigm which refers to the extraction and encoding of semantic information from the source, and the restoration of information from a semantic perspective at the receiver. In this paper, we propose an end-to-end speech semantic communication system based on Transformer, called DeepSC-TS. It focuses on reconstructing and integrating multi-level information from the transmitted semantic signal at the receiver, effectively eliminating semantic signal noise while preserving the original semantic information. Moreover, it does not increase the data load of the original signal during transmission. Simulation results demonstrate that our proposed DeepSC-TS exhibits outstanding performance in different channel environments and it performs better than an existing speech semantic communication system.
Progressive Learning With Recurrent Neural Network for Sequence Classification

Progressive learning is a deep learning framework in which tasks are learned sequentially, with the capacity to leverage past knowledge from previously acquired tasks to aid in the learning and execution of new ones. It is a critical component for dealing with dynamic data, as the model is trained for a few labels and then re-used to categorize additional labels when fresh data becomes available over time. The model size is scaled for new learning while the model parameters used for previous learnings are preserved. The relevance of progressive learning is well accepted in convolutional and fully connected vanilla neural networks; however, it is primarily under-documented in a recurrent neural network for sequence classification problems. Furthermore, there is no defined strategy in the literature for tuning the recurrent layers to learn increasing tasks. We present a method for using a recurrent neural network for progressive learning. We utilize Ray Tune, a well-known hyper-parameter optimization toolbox, to standardize the methods of concurrent hyper-parameter tuning for the model that adapts with each progressive task. We demonstrate our method using two image datasets, MNIST and Devanagari.
Navigating Data-Centric Artificial Intelligence with DC-Check: Advances, Challenges, and Opportunities

Data-centric AI is an emerging paradigm that emphasizes the critical role of data in real-world machine learning (ML) systems—as a complement to model development. However, data-centric AI is still in its infancy, lacking a standardized framework that outlines necessary data-centric considerations at various stages of the ML pipeline: <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Data, Training, Testing, and Deployment</b> . This lack of guidance hampers effective communication and design of data-centric driven ML systems. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">To address this critical gap, we introduce DC-Check, an actionable checklist-style framework that encapsulates data-centric considerations for ML systems. DC-Check is aimed at both practitioners and researchers to serve as a reference guide to data-centric AI development. Around each question in DC-Check, we discuss the applicability of different approaches, survey the state of the art, and highlight specific data-centric AI challenges and research opportunities. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">While developing DC-Check, we also undertook an analysis of the current data-centric AI landscape. The insights obtained from this exploration support the DC-Check framework, reinforcing its utility and relevance in the rapidly evolving field. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">To make DC-Check and related resources easily accessible, we provide a DC-Check companion website (<uri>https://www.vanderschaar-lab.com/dc-check/</uri>), which will serve as a living resource, updated as methods and tools evolve.
The Digital Walls of the University: Translating New Metrics of Labour, Education, and Mobility in the COVID-19 Crisis

The COVID-19 crisis has drastically accelerated the reconfiguration of the borders between the university and the outside world. In this scenario, the walls of the university, whose function is the discrimination of the university’s external and internal elements, are satisfied via units of artificial measure (metrics) that organise the social division of labour and continuously retrace the boundary between the “foreign” and the “internal.” If earlier reforms in higher education aimed at widening access and improving academic success, on the one hand, and adapting to the demand of the labour market for a more “flexible” workforce, on the other, the exponential use of digital platforms in education strongly focuses on establishing a real-time translatability among different demands within a single tool of governance. While educational institutions exponentially rely on indexes, which are intended to both measure the fluctuations and the demands of the labour market in real time, it is urgent to rethink how we translate technology across social, economic, and cultural fields and to formulate teaching and learning machines capable of responding to the complexities and the challenges of the present.
Corrigendum: Factual Disagreements in Construction Delay Disputes: Identification, Evaluation and Testing of the Justifications for Differences in Opinion (IOP Conf. Ser.: Earth Environ. Sci. 1101 052001)

Abstract Please see Article PDF for corrigendum text.
Lithostratigraphic Correlation of the Middle Eocene–Upper Miocene Rocks between Sectors (1-5), Tansulukh Region, Al Jabal Al Akhdar NE Libya: An Integrating Study from Previously Studied Wadies

Some new lithostratigraphic measures are introduced for the nature of existence or removal of some rock units between some studied wadies in Tansulukh area. Lithostratigraphic correlation of the exposed rock units (Middle Eocene-Upper Miocene) between sectors 1-5 in Tansulukh region was necessary to be conducted because of the suspected rock complexities between these sectors. According to the conducted lithostratigraphic correlation between studied sectors (1-5) the missing of OligoceneMiddle Miocene rock units toward sectors 4 &amp; 5 was attributed to some paleo-structural instability during post Eocene till pre-Late Miocene times.
Nature inspired algorithms in dynamic task scheduling: A review

The process of scheduling involves allocating shared resources gradually so that tasks can be completed effectively within the allotted time. In task scheduling and resource allocation, the terms are used independently for tasks and resources, respectively. In computer science and operational management, scheduling is a hot topic. Efficient schedules guarantee system effectiveness, facilitate sound decision-making, reduce resource waste and expenses, and augment total productivity. Selecting the most accurate resources to complete work items and schedules for computing and business process execution is typically a laborious task. Particularly in dynamic real-world systems, where scheduling different dynamic tasks involves multiple tasks, is a difficult problem. Emerging technology known as "nature inspired algorithms" has the ability to dynamically solve the problem of optimal task and resource scheduling. This review paper discusses a study that looked at algorithms inspired by nature and used them to schedule tasks dynamically. The Nature Inspired Algorithms used in dynamic task scheduling and a comparative analysis of those methods are used in this paper to address the study's findings.
Ideological discursive structures in political speeches: A critical discourse analysis of selected speeches of Mr. John Dramani Mahama

Language continues to be a very important tool in politics. This is because, in political communication, politicians usually employ linguistic structures that have ideological implications so that they will be able to win the trust, confidence and ratification of their audiences. Towards this end, this study looks at the role of language in creating ideology and ideological discursive structures in political speeches. The study specifically explores the linguistic expressions that carry the ideologies of President John Dramani Mahama. The study uses the qualitative research approach and adopts critical discourse analysis (CDA) as the design. The purposive sampling was employed and the theoretical lens of Fairclough and van Dijk’s critical discourse analysis framework was used to analyse the data. The study discovered that Mahama conceals his ideologies in his speeches and that he employs discursive structures such as evidentiality, pronouns, rhetorical questions, metaphors and modal verbs. The study further revealed that the discursive structures also produce and sustain power and unequal power relations between Mahama and his audience. The study afforded much evidence to conclude that politics is a game that can be successfully played through a skillful employment of language.
Sensory methods

There is a growing literature on using the senses in research. This scholarship stems from research on the study of the senses in society and culture more broadly. Scholars have urged us to build our sensory awareness when conducting research and to adopt a more sensorial approach among both researchers and research participants. These approaches are most prominent in anthropology and ethnography but have extended to other disciplinary areas. Health has been a particularly rich area of application for sensory research. Visual research methods are the most well known approach to incorporating the senses into scholarship. Yet, there is a move toward using senses other than the visual, including sound, smell, taste, touch, balance, pain, and thermoception (sensing heat and cold). Sensory research methods offer a number of benefits for health research. They help generate meanings for research areas that are abstract or difficult to articulate and offer an expanded repertoire for meaning-making. However, sensory methods also pose challenges, notably methodological and ethical. Health researchers wishing to use sensory methods need to be aware of both the opportunities and challenges presented by this novel approach to research.
SCRABBLE GAME AS LEARNING MEDIA IN STUDENTS' READING OF ELEMENTARY SCHOOL

In language, reading ability is an important basis in the learning process. Moreover, the ability to read must be mastered by every student. The implementation of offline learning after the Covid 19 pandemic, many students in elementary school especially lower grades were able to sound out letters even though they did not understand the text they were reading. Students had lack of ability to read and difficult to understand for them to receive learning material. Then, it is necessary to utilize technology which has developed rapidly every day in learning process. By bringing up new innovations regarding the Scrabble game learning media in elementary school students’ reading, this research aims to motivate the reading process of elementary school students. This game can motivate students to read vocabulary with concrete objects related to their daily life, including the environment around them. This research uses the Multimedia Development Life Cycle (MDLC) method. The results of this research show that students obtained a score of 91% (Very Good), class teachers 94% (Very Good), and 96% (Very Good) from teachers in the Computer Science Technology subject. It is proven from the results of obtaining these scores that the Scrabble game can be used as a reading support material for elementary school students.
NIST SP 800-115 Framework Implementation using Black Box Method on Security Gaps Testing on JTD Polinema’s Official Website

The internet is one example of a computer network that can make it easier to obtain information. According to BSSN's December 2021 report, there were 3,483,706 web application attacks. According to the BSSN monthly report, there were 3,483,706 web application attacks at the end of December 2021. The JTD Study Program's official website (psjtd.polinema.ac.id) faced recurrent hacking incidents, exposing it to DDOS assaults and defacing. As a result, security testing must be carried out in accordance with particular standards, such as the National Institute of Standards and Technology (NIST) SP 800-115 framework. Penetration testing was performed in this investigation using the Black Box testing method approach and hardening. The results of testing and analyzing security gaps on the website reveal 10 open ports and 11 various types of security holes with varying levels of vulnerability categorized as 1 high, 3 medium, 5 low, and 2 informational. During penetration testing, one ping packet was sent that could not cause any problems, and then one of the Syn Flooding attacks was carried out, which resulted in the number of shipments reaching 10,000 packets per second.
Human Resource Management in Policing Fraud

The paper draws on the roles of Human Resource Management (HRM) in policing fraud by the Indonesian Nation Police (INP). The methods of this study is a literature review and document analysis. This research find that HRM has a role in policing fraud through 1) recruitment, 2) education, 3) use/development, 4) maintenance and 5) termination from the office. HRM is pottentially essential for improving police professionalism. Further, the HRM success application may cause the success of bureaucracy and governance reform for corruption prevention in the INP. Moreover, operational policing fraud can be improved by reliable HRM practice. Ultimately, this paper suggests a further empirical study to explore HRM in policing andits role in policing fraud.
Analysis of Performance Anomaly and Fraudster Profile for Fraud Prevention and Detection

The rapid development of technology provides us with a lot of data that can be used for various purposes, such as fraud risk management. Data analytics should be the basis for anti-fraud activities related to prevention and detection processes. This study aims to elaborate on the data analytics used in developing fraud red flags based on historical reports. By applying anomaly data analytics and demographic profiles of fraudsters, this study finds that performance anomalies contribute 68% to fraud, while 3 to 10 years of service without career advancement can trigger motivation to commit fraud. Finally, the paper recommends that data analytics should be followed by human approaches such as lifestyle audits and career advancement programs. Further research is expected to be able to complement other parameters for data analysis and use statistical methods to obtain more accurate results.
The Effect of Hexagon Fraud Theory Components of Academic Fraud for Accounting Department Students with Gender as a Control Variable

Academic fraud refers to dishonest and unethical behavior exhibited by individuals in the academic realm, primarily for personal gain. Such fraudulent activities can harm the public’s perception of college graduates. This study aims to investigate the impact of the hexagon fraud theory component on academic fraud among students studying accounting. The data collection for this study involves quantitative and survey methodologies. The study’s analysis is conducted using SEM PLS. The study had the participation of 153 students pursuing a bachelor’s degree in accounting. The results of the study reveal that capability, arrogance, and collusion have a significant impact on academic fraud. However, academic fraud remains unaffected by pressure, opportunity, rationalization, and gender
Design and development of a web-based compensation information and registration system using biometric fingerprint approval delivery using telegram bot digital

Compensation is an activity carried out by students outside class hours as a sanction for the student's absence from attending scheduled lectures. In this era, information is really needed, especially information on compensation in lectures. Initially compensation on digital telecommunications networks was still done manually or by coming directly to the admin to ask about compensation. But after this system is created, it will improve the compensation system on digital telecommunications networks. Students only need to access the website and no longer need to come to campus to find out information about compensation. The website has been designed in such a way to make things easier for students. This system is very useful for students because all compensation matters can be done via the website so it will be more effective for students. The problem with the Digital Telecommunication Network Study Program is that 84% of students have not compensated and only 16% of students have compensated. Based on these problems, development was carried out in the form of designing a web-based compensation information and registration system using biometric fingerprints for sending compensation agreements using a telegram bot. The information system used is a series of biometric systems with fingerprint sensor devices with FPM10A module, Telegram Bot, Arduino and ESP32 features and produces a system prototype that can provide information about compensation and compensation registration to polynema students so that it can make things easier for students of the Digital Telecommunication Network Study Program Malang State Polytechnic in paying compensation
Sosialisasi Implementasi ABSS (Asian Business Software Solution) Accounting v.27 di SMAN 4 Padang

Manual accounting systems are no longer possible to use in business processes. This is due to the increasing number of business transactions. Therefore, a computer accounting system needs to be implemented immediately. The implementation and use of computer accounting is not only limited to technical aspects but also requires an effective socialization process to ensure acceptance and proper use by users. Socialization can start with those who study accounting. The dedication of this article is the socialization of how to implement Asian Business Software Solution (ABSS) Accounting by applying it, which is v.27 at SMAN 4 Padang. This service activity explained the basic concepts of accounting computers and identified the benefits obtained from their use so that SMAN 4 Padang students can apply them. Of the 34 students who participated in this service activity, 60.6% said that this activity increased their knowledge and motivation to study, while another 39.4% said it was helpful. According to the participants, this service activity had quite an impact on them.
Pengembangan E-LKPD Menggunakan Aplikasi Wizer.Me Pada Mata Pelajaran IPAS Materi Transformasi Energi Di Sekitar Kita

This research is Research and Development (RnD), with the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). This study aims to develop and determine the feasibility of E-LKPD using the Wizer.me application. The feasibility of E-LKPD is proven through the results of expert validation and student responses. The validation results of media experts, linguists, and material experts stated that the E-LKPD using the Wizer.me application was very feasible to use with the results of data analysis from the completed questionnaire obtaining a percentage of 94.2% from media experts, 100% from linguists, and 96% from material experts, which means the product being developed is really worth testing out. Based on a limited trial conducted on students in class IV-A, as many as 26 students received a very good response with a percentage of 97%. Thus it can be concluded that the development of E-LKPD using the Wizer.me application in the Natural Sciences subject matter of energy transformation around us is very feasible to use in the learning process. The results of the research are expected to provide new knowledge regarding the use of electronic-based student worksheets using the Wizer.me application
Menyemai Hidup Berkelanjutan: Etika Lingkungan Hidup Pada Gerakan Pemberdayaan Masyarakat Berbasis Eco Fashion

The Creative and Smart House Foundation is an institution that runs empowerment programs by producing eco fashion products. This research aims to explain the process of community empowerment based on eco fashion, as well as analyzing its impact from an environmental ethics perspective. This research uses a qualitative approach, with a case study type of research. The data collection techniques used were participant observation, in-depth interviews and documentation. Data were analyzed using the Miles and Hubermann interactive model. The research results show that community empowerment carried out by the Rumah Creative and Pintar Foundation covers the scope of empowerment, empowerment and protection. In terms of approach, it tends to lead to a direct action strategy, characterized by a program of ideas that originate entirely from the Foundation. So what is happening at the Foundation currently is that the target community is consumptive of the programs provided by the foundation. The built community does not show any initiative in certain aspects which are the foundation for the realization of an empowered society. The environmental ethic that is being fostered is ecofeminism. Characterized by empowerment programs that empower socially vulnerable communities, most of whom are women. Trying to review the meanings of human (male) domination of nature and women. So this research sees that the Foundation does not reject human domination. But behind human domination, everything is based on the values ​​of love. Apart from that, the community they support is always careful about production waste, namely not allowing the production waste produced to pollute the earth or have a negative impact on the environment. In this case, the empowerment program is quite capable of changing the perspective of the target community in making life choices.