Reviewerly/exHarmony huggingface dataset:
The Role of Federated Learning in Processing Cancer Patients’ Data

Nowadays, the number of people living with cancer is constantly increasing. Numerous multidisciplinary research teams are working on development of powerful intelligent systems that will support medical decisions and help patients with critical diseases, including cancer, to maintain and even increase their quality of life (QoL). ASCAPE (Artificial intelligence Supporting CAncer Patients across Europe) is an H2020 project whose main objective is to use powerful techniques in big data, artificial intelligence, and machine learning in processing cancer (breast and prostate) patients’ data in order to support their health status. A key result of the project is the implementation of an artificial intelligence/machine learning (AI/ML) infrastructure. It will allow the deployment and execution of AI/ML algorithms locally in a hospital on patients’ private data, producing new knowledge. Newly generated knowledge will be sent back to the infrastructure and will be available to other users of the system keeping private patients’ data locally in hospitals. In this chapter, we will briefly present the structure of an open AI/ML infrastructure and how federated learning (FL) is employed in it.
Short film transformation techniques in writing short stories

The objective of research was to find out there is any significant of using short story toward Indonesian EFL writing skills. Various techniques can be used to make someone skilled at writing short stories. One of them is the film transformation technique. The choice of film transformation techniques must be accompanied by the use of innovative and creative media such as short films. The method used in this study is a quantitative research method using experimental design. The sample used in this study based on the population mentioned above is the 6th semester students of creative writing classes for the academic year 2017/2018. The total sample of students is 30 students, divided into 17 male and 13 female students. Data collection was carried out through two stages, namely pretest and posttest. Based on the analysis results, the result of normality test in pre-test showed t-count (2, 5312) and t-table (11,070), then Ho is refused and Ha is received. The result of normality test in post-test showed t-count (1, 8682) and t-table (11,070), then H0 is refused and H1 is received. The result of homogenity in pretest showed Fcount = 1,228 and Ftable = 1,858. Fcount ≤ F table or 1,228 ≤ 1,858 then Ho is accepted. Moreover, the result of homogenity in posttest showed Fcount = 1.140 and Ftable = 1.858. Fcount ≤ F table or 1,140 ≤ 1,858 then Ho is accepted. The linearity test results from the table can be calculated F ¬ 1.4908 and F table 2.41 with a significant level α = 0.05, then it can be concluded from the results of the linearity calculation of this linear patterned data. The results of hypothesis test showed –table &lt;tcount &lt;ttable or -2.002 &lt;6.09&gt; 2.002, then Ho is rejected and Ha is accepted. To be concluded, there is an influence of the use of film transformation techniques on short story writing skills of creative writing class students in the academic year of 2017/2018, because it obtained an average value with the number of pretest 59.1 and posttest 77.7.&#x0D;
<i>N</i>-Ary Alamouti Space-Time Block Coding With and Without Golden Codewords

Information is conveyed by either time, antenna, and/or frequency in the conventional modulation. In this paper, we propose a novel technique to convey information in Alamouti space-time block coding systems. In the proposed technique, the information is conveyed by one channel’s phase component with order <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> . The proposed technique is referred to as 2 × <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N<sub>r</sub></i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -ary Alamouti-STBC ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC), where <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N<sub>r</sub></i> is the number of receive antennas. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC with Golden codewords (GCs) is further proposed to improve error performance at high signal-to-noise ratios (SNRs). Moreover, the proposed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC with and without GCs still preserves the orthogonal transmission matrix of the Alamouti-STBC which retains the simple linear maximum-likelihood (L-ML) detection for quasi-static frequency-flat Rayleigh fading channels. The transmitted symbols can be directly estimated by use of the L-ML detection in the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC with and without GCs. However, only the GCs are estimated by use of the L-ML detection in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC with GCs. The signal detection subset based ML detection is further employed to detect the transmitted <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</i> -ary quadrature amplitue modulation (MQAM) symbols in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC with GCs. The lower error probability bounds of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -STBC with and without GCs are derived and validated by simulation results. As an example, the proposed 2 × 4 16QAM 16-STBC with GCs almost maintain the error performance of the conventional Alamouti-STBC with GCs at SNRs.
Research on the application of Markov chain

In modern times, mathematicians are often troubled by new approaches to deducing the outcomes of certain events. The introduction of Markov models eliminated queries across different sectors. In 1907, Russian mathematician Andrey Markov proposed the concept of Markov chains. It has been widely used in many aspects, such as weather prediction, deep learning, biological information, and so on. Therefore, this paper examines how the Markov chain model can be applied in a variety of situations. This study uses Python as a supporting tool to simulate states and possible outcomes. It can be concluded that Python is able to simulate the state transitions of the Markov chain. The paper also identifies the differences between Markov models, their application in common scenarios such as medical, finance, weather forecasting, machine learning and others in our everyday life and why they are so popularly used, including the simplicity of the model and more.
Method, evaluation, and education at a VDM music course institution

A music course institution provides education for students to play musical instruments fluently. Therefore, ensuring education management in a music course institution is essential. This study investigates the method, evaluation, and education in a music course institution, which comprises (a) the type of education, (b) the method used, and (c)evaluation. This study employed a qualitative approach. Data collection was through in-depth interviews, observation, and documentation. In analyzing the data, this study referred to the techniques by Miles and Huberman. Data validity was tested through data credibility, dependability, and confirmability. The findings of our study on VDM Music Course Institution in Surabaya involve the implementation of music course lessons, which consists of the type of education and the method used, which were evaluated afterwards. Then, they are communicated to the students systematically and orderly according to the predetermined design. The lesson begins with the method used to ensure students are focused during class. Music lesson is based on the form of lesson materials that have been structured according to the individual student level. All lessons are delivered systematically with the established design. The implementation of lessons refers to the program employing several strategies to attain the goal of learning by the VDM Music Course Institution: to promote the students' proficiency in playing their desired musical instruments.
PELATIHAN UJI KOMPETENSI MEMPROSES DOKUMEN DANA KAS KECIL PADA SISWA SMK AL-IRSYAD KOTA TEGAL

Competence is the ability to behave, think and act consistently as a manifestation of the value of knowledge and skills possessed by someone in carrying out work. The need for competent human resources, according to the needs of the world of work and the industrial world, is currently increasing due to high competition in various aspects of life, including competition to become competent and professional accounting technicians. Competent accounting technicians must meet the minimum standards that can be achieved through a certification test held by the Accounting Technician Professional Certification Institute (LSP-TA). There are several certification schemes for the accounting technician competency test, one of which is the cash fund document management cluster. The method of implementing this community service activity is the lecture, tutorial and discussion method. The results of the activity showed an increase in participants' understanding and skills in processing petty cash fund documents.
Superomniphobic and Photoactive Surface Presents Antimicrobial Properties by Repelling and Killing Pathogens

Healthcare-acquired infections place a significant burden on the cost and quality of patient care in hospitals. Reducing contamination on surfaces within healthcare environments is critical for halting the spread of these infections. Herein, we report a bifunctional─repel and kill─surface developed using photoactive TiO2 nanoparticles integrated into a hierarchical scaffold (OmniKill). To quantify the repellency of OmniKill, we developed a touch-based assay, capable of simulating the transfer of individual pathogens, multiple pathogens, or pathogen-latent fecal matter from hands to surfaces. OmniKill repels bacterial pathogens by at least 2.77-log (99.8%). The photoactive material within OmniKill further reduces the viability of transferred pathogens on the surface by an additional 2.43-log (99.6%) after 1 h of light exposure. The antipathogenic effects─repel and kill─remain robust under complex biological contaminates such as feces. These findings show the potential use of OmniKill in reducing the physical transmission of bacterial pathogens in healthcare settings.
Flex Sensor Integrated Smart Strap to Verify Correct Wearing of the Face Mask

Face masks offer efficient, convenient, and affordable defense against infectious agents or airborne diseases namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and many others. Various types of face masks have been developed for people in previous years. However, any of these face masks do not provide any effective means to provide feedback to users to wear them accurately. In this work, the authors present a sensorized adjustable strap for a face mask to ensure its accurate position on the face. This strap allows wearing a face mask comfortably without putting any pressure on the ears of a user. In this strap, a push-button is interfaced with a microcontroller which sets up a threshold value as per the orientation of the face mask on the user. The microcontroller is pre-processed with a protocol to evaluate and store the threshold values. In this work, the flex sensor is used to measure the amount of bending angle of a strap, wherein the microcontroller, on processing and comparing the analog value from the flex sensor with the set threshold value, generates a command in case the value recedes the threshold value. For real-time feedback, a vibrator is used to alert the user to wear the mask properly. The proposed work has provided an effective performance with an average accuracy of 95.25%. As we move towards a future where avoiding cross-infection is crucial and contactless experiences are preferred, the advancements in this field will greatly benefit society.
The Technology Behind NFTs

The technology which powers the creation, transfer, and use of NFTs is broadly known as either blockchain or distributed ledger technology in some circles. While Bitcoin was the first commonly used blockchain protocol, the technology has roots decades older than that. In this chapter we’ll get familiar with the technology.
Trustworthy AI and Data Lineage

AI trustworthiness properties are at the top of concerns for industry, governments, and academia. However, the AI and its models are only as good as the data used to train it. Data lineage could be tracked in many ways, including using metadata, from its generation usage, deployment, and verification. New standards, blueprints, best practices, and repositories for data are required to address requirements for data trustworthiness, such as sustainability, scale, and responsiveness but also ethics, diversity, equity, and inclusion. In this special issue of IEEE Internet Computing, we feature three articles. The first one addresses certification for trustworthy machine-learning-based applications, the second one is on the topic of data and configuration variances in deep learning, and the third one explores balancing trustworthiness and efficiency in AI Systems. We hope that this special issue will increase the community’s awareness of the importance of AI trustworthiness through data lineage.
Data Empowerment and System Remodeling Application

Dongcheng District of Beijing is the functional core area of the capital, which pays special attention to promoting the high-quality development of education.
“Internet + Integration of Industry and Education” Empowers the Reconstruction of Teaching Mode in Smart Classroom

The school, as a demonstration school for the application of “Internet + Education” in the autonomous region, was looking for a new path to promote the school’s smart classroom teaching reform with the help of data and reviewed and reflected on the school’s smart classroom teaching practice in recent years.
Creating and Selling NFTs

Now that we have covered the specifics of how blockchain technology works, and specifically how it powers NFTs, the next most important topic is the creation and sale or distribution of those NFTs. For NFTs to serve any purpose, they must be created and put out into the world so people can make use of them.
Biclustering multivariate discrete longitudinal data

Abstract A model-based biclustering method for multivariate discrete longitudinal data is proposed. We consider a finite mixture of generalized linear models to cluster units and, within each mixture component, we adopt a flexible and parsimonious parameterization of the component-specific canonical parameter to define subsets of variables (segments) sharing common dynamics over time. We develop an Expectation-Maximization-type algorithm for maximum likelihood estimation of model parameters. The performance of the proposed model is evaluated on a large scale simulation study, where we consider different choices for the sample the size, the number of measurement occasions, the number of components and segments. The proposal is applied to Italian crime data (font ISTAT) with the aim to detect areas sharing common longitudinal trajectories for specific subsets of crime types. The identification of such biclusters may potentially be helpful for policymakers to make decisions on safety.
Does Bitcoin Affect Term Deposits? Evidence from MINT Countries

Abstract This article examines the relationship between Bitcoin volume and term deposit investments in Mexico, Indonesia, Nigeria, and Turkey (MINT) from 2016 to 2021. We run cointegration and error-correction econometric models for each country, analyzing both the long-term and short-term interactions between Bitcoin volume and time deposits. Our findings indicate a negative association between Bitcoin volume and term deposits in all the MINT countries, except Mexico. This suggests that individual investors in economically and financially unstable nations are increasingly turning to Bitcoin as an alternative investment option. The observed effects, while currently modest, highlight the potential threats posed by decentralized cryptocurrencies to the monetary systems of emerging economies, impacting the stability of the banking industry and overall economic growth.
Application of Path Planning and Obstacle Avoidance for Riverbank Inspection

Most coastal trash comes from land. To prevent and control ocean pollution, it should be handled using sources that can maintain a clean ocean and improve the marine ecological environment. The proposed system can be used to inspect riverbanks and identify garbage on riverbanks. This waste can then be cleaned up before flowing into the sea. In this study, we utilized an unmanned aerial vehicle (UAV) to inspect riverbanks and applied path planning and obstacle avoidance to enhance the efficiency of UAV performance and ensure good adaptability in a complicated environment. Since most rivers in the middle and upper sections of the study area are rough and meandering, path planning was first addressed so that the drone could use the shortest path and less energy to perform the inspection task. Branches frequently protrude from the riverbank on both sides. Therefore, an instant obstacle avoidance algorithm was added to avoid various obstacles. Path planning was based on an Improved Particle Swarm Optimization (IPSO). A fuzzy system was added to the IPSO to adjust the parameters that could shorten the planned path. The Artificial Potential Field (APF) was applied for real-time dynamic obstacle avoidance. The proposed UAV system could be used to perform riverbank inspection successfully.
Mobile telecommunication devices as carriers of important evidentiary information: prospects and research problems

The article is devoted to the problems of studying modern mobile telecommunications. The relevance of the work is determined by the fact that today there is no sphere of public life where modern electronic means of communication are not used. Any activity to maintain its level requires the active use of modern technical communicators that allow almost instantaneous receipt, processing, and sending of large amounts of information. A significant part of such technical devices are mobile phones or smartphones, which are one of the most common tools (means) in the commission of criminal offences.&#x0D; A mobile phone, like any other instrument or means of committing a crime, leaves traces in space and time when it is used. Some of these traces are electronic (digital), which are stored on the phone itself. The research paper examines the main ways to obtain information stored on a mobile device, in particular, through: 1) inspection of the device at the scene of the incident; 2) investigative inspection of the device already seized during criminal proceedings; 3) appointment and conduct of forensic examination. The investigative examination has a serious advantage over the appointment of an expert examination in the context of the speed of its conduct and obtaining results. This is a very important factor, especially if the required information is either small in volume or in the public domain. However, the review completely excludes the process of examining the phone. A detailed investigation is part of a forensic examination, which is a much longer process in terms of procedural, organisational and technical aspects. However, the amount of information obtained in this case is incomparably greater and some of the information can be obtained only through in-depth analysis of the contents of the mobile device. In addition to the prospects of these approaches, the paper also highlights some problems associated with the preparation and conduct of expert investigations of mobile phones or smartphones, in particular, procedural and technical ones (the need to obtain permits for the use of destructive research methods, the lack of necessary technical and software equipment for experts, etc.).
Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems

As the field of routine pathology transitions into the digital realm, there is a surging demand for the full automation of microscope scanners, aiming to expedite the process of digitizing tissue samples, and consequently, enhancing the efficiency of case diagnoses. The key to achieving seamless automatic imaging lies in the precise detection and segmentation of tissue sample regions on the glass slides. State-of-the-art approaches for this task lean heavily on deep learning techniques, particularly U-Net convolutional neural networks. However, since samples can be highly diverse and prepared in various ways, it is almost impossible to be fully prepared for and cover every scenario with training data. We propose a data augmentation step that allows artificially modifying the training data by extending some artifact features of the available data to the rest of the dataset. This procedure can be used to generate images that can be considered synthetic. These artifacts could include felt pen markings, speckles of dirt, residual bubbles in covering glue, or stains. The proposed approach achieved a 1–6% improvement for these samples according to the F1 Score metric.
Predicting the past: a philosophical critique of predictive analytics

If we address this topic from a conceptual and critical point of view, we need to address three issues: 1) why predictions are too often right, 2) why, at the same time, they are so often mistaken, and 3) what consequences arise from the fact that our instruments for prediction ignore at least four realities that must be true about future forecasts or at least be conscious of their limits: a) that individuals cannot be fully subsumed into categories, b) that their future behaviour tends to have unpredictable dimensions, c) that propensity is not the same as causality and d) that democratic societies must make the desire to anticipate the future compatible with respect for the open nature of the future.
Framework for Digital Forensic Ethical Violations: A Systematic Literature Review

Handling digital forensic cases plays a critical role in maintaining public interest and trust. However, the lack of an ethical code in digital forensics work processes can compromise the integrity and reliability of inspection results. This study aims to address this issue by conducting a systematic literature review (SLR) to explore existing standards for digital forensic frameworks. This study uses SLR techniques to identify and map various digital forensic investigation processes described in the literature. While there are some topics that address digital forensic frameworks in this review, we find it to be overwhelmingly focused on testing or evaluating digital forensic investigations. Unfortunately, the reviewed frameworks often neglected the code of ethics validation process, leaving the potential for ethical violations in the field of digital forensics. Integrating ethical considerations into existing frameworks is essential to ensure the credibility and reliability of digital forensic investigations. This study highlights the need to establish comprehensive policies and standards that include not only technical aspects but also ethical practices. In this way, digital forensics professionals can effectively maintain professional ethics, mitigate ethical violations, and restore public confidence in their findings. Future research should focus on the development and implementation of robust ethical frameworks in the field of digital forensics.