Reviewerly/exHarmony huggingface dataset:
Home-School Collaboration: Maximizing Resources and Efforts to Support Students’ Independent Learning

Home-school collaboration is a valuable strategy for fostering independent learning. Hence, it must be explored in the context of the new normal where the printed modular learning modality is the widely chosen learning delivery among public schools across the country. This study explored how home-school collaboration cultivates and fosters students’ independent learning in the new normal across the districts of Bilar, Batuan, Carmen, and Sierra Bullones, Division of Bohol, as of the school year 2021 – 2022, with the end goal of proposing a home-school program initiative. A descriptive qualitative research design was employed through an open-ended survey method and semi-structured interview to gather the required data. Thematic Analysis was used in making sense of the data. The results revealed that home school collaboration involves providing the necessary learning resources and exerting efforts to support independent learning. Learning resources were key instructional or supplemental in nature. Efforts exerted by the people behind this collaboration include parent-teacher partnerships, the provision of learning resources, and remedial instruction. The themes that emerged from the discussion showed that the collaborative efforts between teachers and parents fostered independent learning, which has a facilitative effect on their cognitive, affective, and psychomotor domains. Thus, the learners evidently showed clear manifestations of independent learning, such as an optimistic attitude towards answering modules, eagerness to learn, enhanced reading performance, and a clear indication of integrity in answering their self-learning modules. However, some identified factors could hinder school-school collaborative efforts based on the participants' narratives, such as family, school-related, learning resources, and personal factors. In capsule, home-school collaboration is a valuable strategy for fostering independent learning through its facilitative effect on the learner's mind, emotion, and behaviors.
Design &amp; Development of a Screw Conveyor-Based Soybean Washing Machine for Tempeh Production

Soybeans are one of the main ingredients for making tempeh. Most of the tempeh production businesses still use the traditional system of washing soybeans. Washing soybeans is still done manually using a washing drum filled with water and stirred by hand, thus draining the workforce. In the process of washing soybeans, there is still direct contact with parts of the human body, resulting in unhygienic soybeans. From these problems, the solution is to make a machine that can wash soybeans in tempeh production which aims to facilitate washing soybeans and produce clean and hygienic soybeans. The soybean washing machine process uses a screw conveyor system with an AC motor 1 phase 1 HP 1420 Rpm as a driving force and a DC 12 V 25 W water pump to drain water into the watering canal. The machine can wash 5 kg of soybeans for 10 seconds, and produces a motor rotation of 271.2 Rpm, voltage 229 V, current 2.58 A to produce clean and hygienic soybeans.&#x0D; &#x0D; &#x0D;
A combined approach for improving humanoid robots autonomous cognitive capabilities

Abstract Recent technologies advancements promise to change our lives dramatically in the near future. A new different living society is progressively emerging, witnessed from the conception of novel digital ecosystems, where humans are expected to share their own spaces and habits with machines. Humanoid robots are more and more being developed and provided with enriched functionalities; however, they are still lacking in many ways. One important goal in this sense is to enrich their cognitive capabilities, to make them more “intelligent” in order to better support humans in both daily and special activities. The goal of this research is to set a step in bridging the gap between symbolic AI and connectionist approaches in the context of knowledge acquisition and conceptualization. Hence, we present a combined approach based on semantics and machine learning techniques for improving robots cognitive capabilities. This is part of a wider framework that covers several aspects of knowledge management, from representation and conceptualization, to acquisition, sharing and interaction with humans. Our focus in this work is in particular on the development and implementation of techniques for knowledge acquisition. Such techniques are discussed and validated through experiments, carried out on a real robotic platform, showing the effectiveness of our approach. The results obtained confirmed that the combination of the approaches gives superior performance with respect to when they are considered individually.
The study of emoji linguistic behaviour: an examination of the theses raised (and not raised) in the academic literature

This bibliographic review of academic research on emoji reveals how the bulk of studies accepts it as a language but do not develop detailed linguistic analysis that could support this claim: they accept the clues provided by the initial studies, as if the scientific community had already reached such a consensus. However, the truth is that the fields in which emoji have generated the greatest academic interest (computer science, psychology and cognitive science) have considered the study of their linguistic nature a minor issue. Therefore, research on emoji has been growing over the years, widening the scope of its contributions, but with a common core made up of few basic notions about its linguistic condition that has important blind spots, in which Linguistics hasn’t done (generally) its work to place it in this new context for communication that the digital environments represent, despite the supports provided by multimodality and visual language theory. From these two disciplines, some authors have boldly suggested the emoji’s status as a gesture. However, to analyse its linguistic nature and behaviour, it is more accurate to understand the emoji, not as a gesture, but as a simplified representation of a gesture, without the unique features that a personal gesture has. The emoji seems to be the tool that, with fewer resources, best ensures that the interlocutor can understand the intentionality with which the sender has written the message.
An investigation into software quality and security: Past research works and existing gaps

Software security is concerned with the protection of data, facilities and applications from harm that may be occasioned by malware attacks such as password sniffing, viruses and hijacking. It is a system-wide concept that takes into account both security mechanisms such as access control as well as the design for security, such as a robust design that renders software attack complicated. It may encompass building of secure software, which comprises of the designing of software to be attack-resistant, ensuring that software is error-free, and educating software developers, architects, and users about the building of secure artifacts. In this regard, insecure software negatively affects organization’s reputations with customers, partners, and investors. The goal of this paper is to investigate some of the issues that make the software insecure, as well as the approaches that have been developed to boost software quality and security. The outcomes indicate that various models, techniques, frameworks and approaches to software quality have been developed over the recent past. However, only a few of them give reliable evidence for creating secure software applications.
On replacing standard system error messages for relational database constraints with context aware natural language ones

The goal of this paper is to provide a rigorous methodology for enhancing VBA software application users’ experience when faced with attempts to violate the underlying SQL Server database constraints. The original contribution is a pseudo-code algorithm for assisting developers in this process. We exemplify the results of using it with a full code example for a class taken from a genealogy database software application designed and developed using this methodology. Consequently, it replaces all context-independent and developer jargon standard system error messages with context aware and natural language ones. Moreover, it also synchronizes combo-box instances after each update or delete. We also show that the proposed algorithm works fine not only for other relational database management systems, but even with NoSQL platform backends, and that the modifications needed to adapt it to other similar SQL embedding frontend platforms are minimal. This algorithm main merit is that it may serve as the basis for developing a tool for performing this important task through automatic code generation.
AHP Evaluation Software for Intelligent Reform of Computer Majors in Colleges Based on Interactive Intelligent Testing Algorithm

Mathematics and other cross-composition, its content is very abstract, theoretically strong, students have great difficulty in the learning process. In the new era, in order to further improve the teaching quality of data structure courses for computer majors in colleges and universities, when generating test cases, the one·test-at-a-time strategy is used to generate test cases that cover more total gains through sequential optimization ant colony algorithm. The pheromone update adopts a phased approach. The AHP method is used to evaluate the importance of each influencing factor, and then according to the weight of each influencing factor, the curriculum setting of computer majors in higher vocational colleges is modularized and refined, and a computer curriculum setting plan suitable for the characteristics of higher vocational colleges is formulated accordingly.
On Eulerian semigroups of multivariate transformations and their cryptographic applications

Abstract The intersection of Commutative and Multivariate cryptography contains studies of cryptographic applications of subsemigroups and subgroups of affine Cremona semigroups defined over finite commutative ring K. We consider special semigroups of transformations of the variety ( K *) n , K=F q or K = Z m defined via multiplications of variables. Efficiently computed homomorphisms between such subsemigroups can be used in Post Quantum key exchange protocols and in their inverse versions when correspondents elaborate mutually inverse transformations of ( K *) n . The security of these schemes is based on a complexity of decomposition problem for element of the semigroup into product of given generators. We introduce combination of inverse versions of these schemes with cryptosystems based on stable subsemigroups of Cremona group which use encryption and decryption multivariate maps with the density gap. MSC 2010: 11T71 , 14G50
Characterizing entanglement robustness of N-qubit W superposition state against particle loss from quantum Fisher information

Abstract We investigate the entanglement robustness of N -qubit W superposition state against particle loss with quantum Fisher information. In the noninteracting environment, the quantum Fisher information of reduced W superposition state is found same as the W superposition state when the number of qubits larger than 5, which shows very strong entanglement robustness compared to Twin-Fock state and Greenberger-Horne-Zeilinger state. Meanwhile, the effect of re-particle-loss is also studied and it presents a rapid decay of quantum Fisher information with the increase of losing qubits, indicating the weak entanglement robustness. In the interacting environment, the results show that the reduced W superposition state performs better than it in noninteracting environment. Alternatively, with the increase of qubits ( N &gt; 5) the reduced W superposition state behaves much more robust than original state. To vividly approach the real noisy environment, the effects of different decoherence channels are also considered.
Recovering Scientific Literature on COVID-19 using level-based Text Analysis

Abstract The pandemic caused by the SARS-CoV-2 virus has generated numerous scientific texts on the subject, including symptoms, drugs, treatments, and vaccines. These documents are written in natural language and lack a computer-processable structure, which causes a tedious and time-consuming manual analysis. Thus, Information Retrieval (IR) approaches are increasingly necessary to analyse Spanish scientific texts. Therefore, this paper presents approaches based on text analysis levels to retrieve relevant documents about COVID-19 from the Spanish literature. The approaches include preprocessing scientific texts, recovering relevant documents using text analysis levels (probabilistic, similarity, and semantic), and an evaluation process. The main aim of the approaches is to rank the scientific documents considering their relevance to the input question. The evaluation task is done with 100 COVID-19 questions and a dataset of 249,000 scientific texts in Spanish. The results show that the probabilistic approach achieved an F-measure of 85%, supported by document filtering using the Latent Dirichlet Allocation (LDA) algorithm.
Electrodynamics-based Quantum Gate Optimization with Born Scattering

Abstract In this paper, we propose employing electron scattering to realize unitary quantum gates that are controlled by three qubits. Using Feynman’s rules, we find an expression for the transition amplitude for scattering from an external electromagnetic source. In this context, the scattering amplitude is modeled as a unitary gate whose state can be regulated. The optimal value of the vector potential needed to implement the gate is obtained by minimizing the difference between the designed gate and the target gate, with the total energy consumed as a constraint. The design algorithm is obtained by discretizing the resulting integral equations into vector equations. This design algorithm can be applied in various fields such as quantum computing, communication, and sensing. It offers a promising approach for developing efficient and accurate gates for quantum information processing. Furthermore, this approach can also be extended to design gates for multi-qubit systems, which are essential for large-scale quantum computing. The use of this algorithm can significantly contribute to the development of practical quantum technologies.
Organization of distance education in the subject “Аnimal physiology” with using the electronic learning platform MOODLE and YouTube video hosting

The current development level in IT contributes to the introduction of computer technology and other technologies in the learning process at various levels of education. Informatization of education is a process that provides the education sector with methodology and practice for the development and optimal use of modern information and communication technologies focused on implementing the psychological and pedagogical goals of education and training. Education institutions face the challenge of preparing a new generation of teachers to use the new learning tools in teaching practices effectively. Information technologies allow the university teacher to prepare and conduct practical classes and lectures and control activities effectively and at a new level. This article highlights the experience of organizing the educational process in a distance format using information computer technologies. It analyzes the work of the most common online distance learning platforms, with the help of which the educational process takes place at the State University of Biotechnology. The authors investigated the possibilities of the electronic learning platform MOODLE (Modular Object-Oriented Dynamic Learning Environment) for students of the Veterinary medicine and biotechnology faculties. An analysis of the advantages of the MOODLE distance learning platform and ways to eliminate its shortcomings was carried out, the main of which, according to the authors, is the need to adapt the teaching of one of the essential fundamental disciplines to the video format and provide the combination of visualization of the classroom performance of laboratory and practical work with the possibility of independent, remote work if available access to the Internet. It is claimed that the MOODLE platform can use a wide range of video files, but this is not enough for a perfect study of the discipline “Animal Physiology”. Due to the limitation of specific technical characteristics of the MOODLE platform, the authors introduced files from YouTube video hosting into the educational process, which required creating their content. In the article, the authors presented their views on the creation of a single virtual, informational environment that combines all available technological functions of the system of professional training of future doctors of veterinary medicine.
Conative, Personality-based, Cognitive and Competence Approaches in the Semantic Sphere of the Individual’s Creativity

the aim of our article is to show conative, personality­based, cognitive and competence approaches in the semantic sphere of the individual’s creativity, to determine their characteristics, valuable and unique qualities.methods of the research. The following theoretical methods of the research were used to solve the tasks formulated in the article: the categorical method, structural and functional methods, the methods of the analysis, systematization, modeling, generalization. the results of the research. We think that leading to the development of the person’s creative imagination is metaphorical imagination (personal ap-proach). The latter is able to create new images of objects, ideas, meanings and emotional­sensual experiences, appealing to the imagination of the respondent who perceives. Metaphorical imagination is manifested as a person’s ability to independent creative metaphors, creatively interpret complex metaphors, cre-atively and originally apply existing metaphorical expressions depending on the context of a certain situation. Realizing the connection between the sensual and the rational, the construction of a creative metaphorical image activates the subject’s sensory­perceptual and emotional imagination on a creative level, thereby contributing to a new and deeper understanding of their essence.conclusions. We showed that psychological researches in a great degree emphasized such creative personality traits as productive ones, creative think-ing, the implementation of creative characteristics, transformative human acti­vity, the need for self­affirmation, material well­being, the transformation of the surrounding natural and social world, the implementation of doping strategies in the context of life achievements of the individual (a conative approach); in-tellectual activity, psychological flexibility, creative motivation, multivariate vi-sion of the surrounding world, originality, divergence; personal achievements (integrative approach); mental structures, mental representations, mental ex-perience, intellectual abilities – speed, originality, sensitivity, metaphoricality, formulation and original solution of a problem, actualization of the concept of a creative act (a cognitive approach); motivation to carry out creative activities, motivation to achieve success, situational self­actualization (a motivational ap-proach); a high level of professionalism, professional and creative semantics, creative explication of the situation, professional and creative social perception, creative aspects of communication (competence approach)
A Application of G. Polya’s Problem-Solving Process in Teaching High-School Physics

The study investigates the application of G. Polya’s four-step problem-solving process in teaching Physics. This teaching method helps students form and develop problem-solving skills in learning, including (1) Understanding the problem; (2) Making a plan; (3) Executing the plan; (4) Looking back and reflecting. An experimental teaching session on “some forces in practice” for 300 tenth graders in two high schools (grade 10) was conducted as part of this study. Experimental results at first show that more than 80% of students have significantly improved their problem-solving skills. These experimental results are expected to enable teachers and students to teach and learn Physics effectively, meeting the expected outcomes of the General Education Program.
A Theoretical Approach to Artificial Intelligence in Consumer Behavior

The main purpose of this research is to investigate the effects of artificial intelligence, which has increased its popularity in recent years, on the purchasing behaviors of consumers, which have existed since the first ages, in order to meet their needs. In the study, primarily consumer behaviors are explained. Afterward, a literature search was conducted on the emergence and development of artificial intelligence. Finally, the effects of these two concepts on each other were analyzed.
Multitasking Correlation Network for Depth Information Reconstruction

In this paper, we propose a novel multi-tasking network for stereo matching. The proposed network is trained to approximate similarity functions in statistics and linear algebra such as correlation coefficient, distance correlation and cosine similarity. By doing this, the proposed method decreases the amount of time needed to calculate the disparity map by using CNN's ability to calculate multiple pairs of image patches at the same time. We then compare the execution time and overall accuracy between the traditional method using functions and our method. The results show the model's ability to mimic the traditional method's performance while taking considerably less time to perform the task.
PLOVER and POLECAT: A New Political Event Ontology and Dataset

POLECAT is a new global political event dataset intended to serve as the successor to the dataset produced by the DARPA Integrated Conflict Early Warning System (ICEWS) project. POLECAT's event data are machine coded from millions of multi-language international news reports and will soon cover the period 2010-to-present. These data are generated using the Next Generation Event Coder (NGEC), a new automated coder that replaces the use of extensive (and difficult to update) dictionaries with a more flexible set of expert annotations of an event's characteristics. In contrast to existing automated event coders, it uses a combination of NLP tools, transformer-based neural networks, and actor information sourced from Wikipedia. POLECAT's event data are based on an event-mode-context ontology, the Political Language Ontology for Verifiable Event Records (PLOVER), that replaces the older CAMEO ontology used in past datasets such as ICEWS and Phoenix. These innovations offer substantial improvements in the scope and accuracy of political event data in terms of the what, how, why, where, and when of domestic and international interactions. After detailing PLOVER and POLECAT, we illustrate the innovations and improvements through a preliminary comparison to the existing-ICEWS event data system.