Reviewerly/exHarmony huggingface dataset:
Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I)

Artificial Intelligence frameworks should allow for ever more autonomous and general systems in contrast to very narrow and restricted (human pre-defined) domain systems, in analogy to how the brain works. Self-constructive Artificial Intelligence ($SCAI$) is one such possible framework. We herein propose that $SCAI$ is based on three principles of organization: self-growing, self-experimental and self-repairing. Self-growing: the ability to autonomously and incrementally construct structures and functionality as needed to solve encountered (sub)problems. Self-experimental: the ability to internally simulate, anticipate and take decisions based on these expectations. Self-repairing: the ability to autonomously re-construct a previously successful functionality or pattern of interaction lost from a possible sub-component failure (damage). To implement these principles of organization, a constructive architecture capable of evolving adaptive autonomous agents is required. We present Schema-based learning as one such architecture capable of incrementally constructing a myriad of internal models of three kinds: predictive schemas, dual (inverse models) schemas and goal schemas as they are necessary to autonomously develop increasing functionality. We claim that artificial systems, whether in the digital or in the physical world, can benefit very much form this constructive architecture and should be organized around these principles of organization. To illustrate the generality of the proposed framework, we include several test cases in structural adaptive navigation in artificial intelligence systems in Paper II of this series, and resilient robot motor control in Paper III of this series. Paper IV of this series will also include $SCAI$ for problem structural discovery in predictive Business Intelligence.
Poincaré Wasserstein Autoencoder

This work presents a reformulation of the recently proposed Wasserstein autoencoder framework on a non-Euclidean manifold, the Poincar\'e ball model of the hyperbolic space. By assuming the latent space to be hyperbolic, we can use its intrinsic hierarchy to impose structure on the learned latent space representations. We demonstrate the model in the visual domain to analyze some of its properties and show competitive results on a graph link prediction task.
Introduction to Voice Presentation Attack Detection and Recent Advances

Over the past few years significant progress has been made in the field of presentation attack detection (PAD) for automatic speaker recognition (ASV). This includes the development of new speech corpora, standard evaluation protocols and advancements in front-end feature extraction and back-end classifiers. The use of standard databases and evaluation protocols has enabled for the first time the meaningful benchmarking of different PAD solutions. This chapter summarises the progress, with a focus on studies completed in the last three years. The article presents a summary of findings and lessons learned from two ASVspoof challenges, the first community-led benchmarking efforts. These show that ASV PAD remains an unsolved problem and that further attention is required to develop generalised PAD solutions which have potential to detect diverse and previously unseen spoofing attacks.
Repeated-Measures ANOVA and Friedman Test Using SPSS and STATCAL

This article explains statistical method, namely repeated-measures ANOVA and Friedman Test using SPSS and STATCAL (R)
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer

The Long Short-Term Memory (LSTM) layer is an important advancement in the field of neural networks and machine learning, allowing for effective training and impressive inference performance. LSTM-based neural networks have been successfully employed in various applications such as speech processing and language translation. The LSTM layer can be simplified by removing certain components, potentially speeding up training and runtime with limited change in performance. In particular, the recently introduced variants, called SLIM LSTMs, have shown success in initial experiments to support this view. Here, we perform computational analysis of the validation accuracy of a convolutional plus recurrent neural network architecture using comparatively the standard LSTM and three SLIM LSTM layers. We have found that some realizations of the SLIM LSTM layers can potentially perform as well as the standard LSTM layer for our considered architecture.
Perception of Teacher Educators towards 2-Year B.Ed. Programme in Odisha

The nation's development is based on its education. The Teacher Educators train the student teachers to ensure quality in school education by raising the learning levels of the students. The 2-Year Bachelor of Education (B. Ed) is essential to fulfill the said purpose. In the present study it has been found that this Programme is providing sufficient time to acquire proper content knowledge for the development of student teachers. It has been reported that the Teacher Educators of Science stream perceived the programme better in comparison to their Arts counterparts. Like this, the Teacher Educators of higher qualification have perceived the programme better in comparison to their counterparts having inferior qualification. In totto, it has been observed in the present study that the teacher educators are in favour of the 2-Year B. Ed Programme
Development of Curriculum Management Models in the Addiction Science Study Program

Drug abuse among students is a worrying problem that can threaten the survival of nation. This study carried tesearch design for the development of the Four D model is a model to develop learning devices. This method and model were chosen to develop addiction science education management that required to conduct feasibility, product validity, and trial. The development model based on curriculum management development referred to 4D development model, and referred to two quality requirements, namely valid and effective. This research objectives are to develop of curriculum management model for addiction science study program at IOHC INA Mojokerto, East Jawa, Indonesia. The quality of the Addiction Education Management Curriculum based on the final results had met the criteria "Very Good", so that it was appropriate to be applied and implemented as a product of developing curriculum management models in the addiction science study program at IOHC INA Mojokerto, East Java. The implication of this research is development of this curriculum is much needed to help nursing institutions to be more competent in the field of addiction science.
Information Systems on Learning &amp; Communication Devices for Parents: Media for Learning Acquisition in the Digital Age

During the pandemic, learning for early childhood is carried out in the form of distance learning, both with online and offline models. As a result of this policy, parents in Indonesia must assist their children while studying from home. Various information is needed so that parents can carry out their duties which are at the same time their obligations, in a good and correct way, in accordance with the principles of early childhood learning. Information system for learning and communication devices for parents or abbreviated SIPPKOM, is here to meet the needs of parents to get information about learning needed to help children while learning from home. SIPPKOM is made by utilizing a website to be accessed using a mobile phone or laptop wherever parents are. The purpose of this research is to describe the possible strategies used by parents to obtain information on the core-basic competencies, learn themes, tools, weekly and daily lesson plans, children's progress reports, as well as communicate with teachers through the use of SIPPKOM. This is qualitative research with data collected through observations, interviews, and documentation. The research subjects were 10 parents from 2 partner institutions using SIPPKOM who were willing to be involved in the research. The data collected were analyzed using the Miles and Huberman model with reduction, presentation, and concluding stages. The result showed that parents could easily get information on learning tools, including weekly and daily lesson plans, academic calendars, and E-reports, irrespective of the time and place. Access to SIPPKOM can also be carried out using a cellphone/ smartphone or a laptop. Furthermore, parents can also communicate with teachers without worrying that subsequent ones will overwrite the information provided. The implication of the results of this study is that institutions can provide other communication platforms that can be used to convey information related to learning planning and the abilities achieved by children as a result of their assessment.
The Bimasoft Application as Computer Based Test (CBT) Learning Evaluation Media: An Analysis of the Effectiveness using Android

In education, the learning process is very important because it is designed in such a way by applying various methods and learning media in order to improve the quality of education. Therefore, good and bad results can be seen in the student learning process, therefore a qualified evaluation tool is needed. This study discusses the analysis of the effectiveness of the bimasoft application as a medium for evaluating computer based test (CBT) learning using Android. The objectives of this research consist of; 1) to find out the application of the bimasoft application as a medium for evaluating computer based test (CBT) learning using android at SMAN 1 Sumbawa Besar, 2) to determine the feasibility of the bimasoft application as a medium for evaluating computer-based test (CBT) learning using android at SMAN 1 Sumbawa Besar, and 3) to determine the effectiveness of the bimasoft application as a medium for evaluating computer based test (CBT) learning using android at SMAN 1 Sumbawa Besar. The type of research used by the researcher is descriptive quantitative research. Collecting data using observation methods, questionnaires, and documentation. Furthermore, the data were analyzed using descriptive analysis techniques, validity and reliability tests. The results of the study found that the application of the bimasoft application as a medium for evaluating CBT learning using android was very good (84.64%). The feasibility of the bimasoft application as a medium for evaluating CBT learning using android with very very feasible results (92.05%) and the effectiveness of the bimasoft application as a medium of evaluating CBT learning using android with very very effective results (90.69%). So it can be concluded that the use of the bimasoft application as a medium for evaluating computer based test (CBT) learning using Android at SMAN 1 Sumbawa Besar is very effective both in terms of time effectiveness, economy, scoring, objectivity of assessment, and can reduce fraudulent actions.
Public Policies to Support Entrepreneurship and SMEs Growth: The Case of Libya

This study explored the role of government policies to support entrepreneurship and the growth of Small - Medium Enterprises (SMEs) in the Libyan economy. Due to the current situation of the business in Libya, urgent policies need from the Libyan government to focus on several aspects of SMEs for entrepreneurship and economic growth. Because of these challenges, the objective of this study is to establish a solid foundation for understanding the government's role in promoting entrepreneurship, also creating business for SMEs. The study found some circumstances that promote entrepreneurship and the environment of SMEs in the Libyan economy, such as investigating the impact of various types of recent government policies, identifying difficulties and challenges, improving the higher education system, and analysing Libyan decision-makers perspectives. As a result, the study indicated that Libyan government policies for entrepreneurship play a positive and crucial role in the development and growth of SMEs.
THE EFFECT OF PRESS MEDIA FROM CERAMIC AND METAL MATERIALS ON THE TENSILE STRENGTH OF RECYCLED POLYPROPYLENE FOR THE DEVELOPMENT OF COMPOSITE MATRIX MATERIALS

Composites generally consist of fiber (filler) and resin (matrix). Resin from recycled polypropylene (plastic) polymer was chosen because it has superior properties compared to other types. The manufacturing process with a hot air melting temperature (heat gun) of 300oC was chosen with two variations of press media, namely metal and ceramic, to compare the mechanical properties of tensile strength. Specimens were shaped according to the ASTM D638 standard. The results showed that the recycled polypropylene with ceramic press media had an average tensile stress of 15.05 MPa, which was higher than that of compressed metal media of 13.06 MPa.
Image Caption Bot with Keras and Speech Generation for Visual Aid

&lt;p&gt;How image classification is done and how it can be helped out for visual aid&lt;/p&gt;
Sorting by Shuffling Methods and a Queue

We study sorting by queues that can rearrange their content by applying permutations from a predefined set. These new sorting devices are called shuffle queues and we investigate those of them corresponding to sets of permutations defining some well-known shuffling methods. If $\mathbb{Q}_{\Sigma}$ is the shuffle queue corresponding to the shuffling method $\Sigma$, then we find a number of surprising results related to two natural variations of shuffle queues denoted by $\mathbb{Q}_{\Sigma}^{\prime}$ and $\mathbb{Q}_{\Sigma}^{\textsf{pop}}$. These require the entire content of the device to be unloaded after a permutation is applied or unloaded by each pop operation, respectively.&#x0D; First, we show that sorting by a deque is equivalent to sorting by a shuffle queue that can reverse its content. Next, we focus on sorting by cuts. We prove that the set of permutations that one can sort by using $\mathbb{Q}_{\text{cuts}}^{\prime}$ is the set of the $321$-avoiding separable permutations. We give lower and upper bounds to the maximum number of times the device must be used to sort a permutation. Furthermore, we give a formula for the number of $n$-permutations, $p_{n}(\mathbb{Q}_{\Sigma}^{\prime})$, that one can sort by using $\mathbb{Q}_{\Sigma}^{\prime}$, for any shuffling method $\Sigma$, corresponding to a set of irreducible permutations.&#x0D; We also show that $p_{n}(\mathbb{Q}_{\Sigma}^{\textsf{pop}})$ is given by the odd indexed Fibonacci numbers $F_{2n-1}$, for any shuffling method $\Sigma$ having a specific \say{back-front} property. The rest of the work is dedicated to a surprising conjecture inspired by Diaconis and Graham, which states that one can sort the same number of permutations of any given size by using the devices $\mathbb{Q}_{\text{In-sh}}^{\textsf{pop}}$ and $\mathbb{Q}_{\text{Monge}}^{\textsf{pop}}$, corresponding to the popular \emph{In-shuffle} and \emph{Monge} shuffling methods.
English to Swedish Neural Machine Translation Using Attention

&lt;p&gt;The paper implements a neural machine translation model with attention using tensorflow and keras libraries for the task of translating English to Swedish.&lt;/p&gt;
Effectiveness of Using E-Senbud as Android-Based Art Culture Learning Media at SMAN 1 Sumbawa Besar

Learning is a process and effort to create learning conditions that optimally develop students' skills, interests, and talents so that they can achieve their competencies and goals. The achievement of learning objectives depends on the use of media strategies and the use of media. The purpose of this study was to determine the feasibility and effectiveness of using E-Senbud as a learning medium to increase student learning productivity at SMAN 1 Sumbawa Besar. Collecting data using questionnaires and field observations on a sample of 100 students. The type of research used by the researcher is qualitative research with descriptive research characteristics. The results of the feasibility and effectiveness aspects of the test by material experts obtained an average score of 94,13%, the linguists obtained a percentage score of 90,00%, and the results of the assessment according to student responses obtained an average score of 96.00% with very feasible criteria. So it can be concluded that the use of E-Senbud learning media in cultural arts subjects is very effective in increasing the learning productivity of SMAN 1 Sumbawa Besar students.
Collaborative Estimation of Multi-source Heterogeneous Moving Sensors for UAV Cluster

In the cooperative combat mission of UAV cluster, the collaborative estimation of targets by airborne multi-source heterogeneous sensors can make the utmost of the multivariate detection performance of moving sensors placed in multiple spatial positions in complex confrontation environments, in order to deal with the problem of independent estimation failure of sensors carried by single aircraft under the multiple compound interference of non-cooperative targets. In this paper, the typical target motion model, estimation model and interference model are established, then a collaborative estimation method of airborne target detection sensors with different detection accuracy and different interference countermeasure capability is designed for each aircraft in the UAV cluster, based on spatial allocation strategy, nonlinear filtering, interference detection, consistency correlation and information fusion. It is verified by Monte Carlo simulation study that this method can guarantee the obtainment of continuous and accurate guidance information for each aircraft in the cluster, so as to improve the strike accuracy of each UAV and complete the strike mission.
Adversarial Image Perturbation: A Survey

&lt;p&gt;Over the past decade, neural networks have shown commendable performance in complex tasks such as Image Recognition, Natural Language Processing, and game playing. At the same time, these networks have unfortunately been proven to be susceptible to minor changes to their inputs, commonly called adversarial perturbations. For example, an otherwise accurate DNN model can be deceived into misclassifying a given image by making slight alterations to the image, invisible to human eyes. Such adversarial attacks make it challenging to deploy them in security-sensitive applications such as autonomous vehicles. It is, therefore, crucial to understand adversarial attacks to test the robustness of a model and come up with suitable defense techniques. This paper aims to survey popular works in this domain. In our discussion, we broadly classify the attacks as image-dependent or independent and targeted or untargeted. We also cover some interesting defense techniques. We discuss real life or physical attacks where an attacker can perturb the image in real life, for instance, by painting a stop sign or pasting stickers on objects. We also show some experimental results, as we test the performance of two adversarial attacks against a pre-trained VGG19 model on Imagenet dataset.&lt;/p&gt;
Total Rejection Sampling and the Reduction of the Wave Function

&lt;p&gt; We propose an exact new sampling algorithm using classical statistical theory. The algorithm is powered by white noise and non-local information. The proposed method will process an infinite number of rejected samples in parallel before accepting one exact single sample from a target distribution using an optimization mechanism. The algorithm is applied to sampling from general distributions in addition to sampling from the wave function density distribution which lies at the heart of the measurement problem in quantum physics. &lt;/p&gt;
Cooperative Path Planning Algorithm of UAV in Urban Environment Based on Improved Pigeon Swarm Algorithm

For the urban environment with dense obstacles, narrow space and complex air flow, the UAV cooperative path planning method is studied. The selection method of cooperative path in urban environment is proposed. A multi UAV cooperative path planning method based on Cauchy mutation pigeon intelligent optimization algorithm (ECM-PIO) is proposed, which avoids the optimization deviation of the traditional pigeon swarm algorithm in the process of path optimization and overcomes the disadvantage that the traditional pigeon swarm algorithm is easy to fall into local optimization. The simulation results verify the advancement of the proposed cooperative path planning method of UAV in urban environment based on ECM-PIO.
Transdisciplinary level of interdisciplinarity and its heuristic potential: philosophical and methodological analysis

The artical considers interdisciplinarity as a phenomenon of scientific cognition from philosophical and methodological positions. One of the levels of interdisciplinarity transdisciplinary is subjected to a detailed analysis. The models that have arisen within the framework of the transdisciplinary level are studied, which are extrapolated from it into the natural sciences and humanities. The heuristic potential and limitations of these models are highlighted. The possibility of the emergence of new cognitive models at the transdisciplinary level of interdisciplinarity is stated.
Fusion of IoT, AI, Edge-Fog-Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and Medicine

&lt;p&gt;The digital transformation is characterized by the convergence of technologies — from the Internet of Things (IoT) to Edge-Fog-Cloud computing, Artificial Intelligence (AI), and Blockchain — in multiple dimensions blurring the lines between the physical and digital worlds. Although these innovations have evolved independently over time, they are increasingly becoming more intertwined, driving the development of new business models. With more adaptation, embracement, and development, we are witnessing a steady convergence and fusion of these technologies resulting in an unprecedented paradigm shift that is expected to disrupt and reshape the next generation systems in vertical domains in a way that the capabilities of the technologies are aligned in the best possible way to complement each other. Despite the fact that the convergence of the four technologies can potentially tackle the main shortcomings of existing systems, its adoption is still in its infancy phase, suffering from several issues, such as the absence of consensus towards any reference models or best practices. This paper provides a comprehensive insight into the fusions of these paradigms by discussing a blend of topics addressing all the importation aspects from design to deployment. We will begin this paper by providing an in-depth discussion on the main requirements, state-of-the-art reference architectures, applications, and challenges. Following this, we will present a reference architecture and a case study on privacy-preserving stress monitoring and management to better elaborate on the corresponding details and considerations.&lt;/p&gt;