Reviewerly/exHarmony huggingface dataset:
Pengembangan Aplikasi Monitoring Anak Berkebutuhan Khusus di Sekolah Luar Biasa Menggunakan Metode User Centered Design (UCD)

Special School B (SLB B) Yakut Purwokerto is an extraordinary school that focuses on handling Deaf Children with Special Needs (ABK) under the auspices of the Tama Business Welfare Foundation (YAKUT). In the process of monitoring student progress for guardians, SLB B Yakut Purwokerto still uses manuals and serves individual guardians. This is of course very ineffective and efficient. In addition, teachers also use social media in the form of WhatsApp to contact students' parents when students have finished learning activities at school. The development of technology is currently very rapid and it is appropriate for SLB B Yakut Purwokerto to develop monitoring activities using an effective and efficient system. Based on a review of several previous studies, User Centered Design (UCD) is an effective and most frequently used method to build an application. In understanding the user's cognition, character, and attitude, the design of the monitoring application for SLB B YAKUT Purwokerto students must focus on the user by applying the User Centered Design (UCD) method so that the application seems more interactive. The collection of user needs is carried out using three ways, including observation, interviews, and collecting the required documents. There are 5 stages that must be passed to implement the UCD method, plan the human-centered process, specifically the context of use, specify user and organizational requirements, product design solutions, and evaluate design against user requirements. The result of this research is that the design of the SoBat Yakut Monitoring System application design has been successfully completed to the prototype stage.
McGE '23: 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice

The proposed workshop's topics, focusing on multimedia content generation, quality assessment, datasets and construction, is crucial due to its direct impact on the growth and success of the multimedia field. Multimedia content generation is essential for various applications, such as entertainment, advertising, and education. Quality assessment ensures the overall value and effectiveness of multimedia content, directly influencing user satisfaction and application success. Datasets are indispensable for training and evaluating multimedia algorithms, driving innovation, and fostering progress in the field. Finally, effective dataset construction methods set new benchmarks for the research community, stimulating innovation and unlocking new opportunities for leveraging multimedia data in various applications. The goal of this workshop is to bring together leading researchers in the field in a joint forum for advancing multimedia content generation and evaluation.
Prototype Sistem Tracking Pada Aplikasi Ambulance Dan Satlantas Berbasis Protokol MQTT

Traffic accidents often result in victims who need help quickly. Communities who know about incidents are often confused about how to take victims to health facilities quickly because there are no vehicles available to transport victims, besides that at the location of the incident there is usually a crowd of residents which causes traffic to be obstructed. This research will build a prototype accident report application that can be used by the public in reporting a traffic accident incident, POLICE and Ambulance Drivers will get information about the location of the incident that occurred to provide fast handling, and the built prototype will be measured access speed using various types of networks (GPRS, 3G, 4G), this is to see if the application can be used in various internet network conditions. The results of this study are an application that can be used to improve services for health facilities and the police, the results of the access speed test show that the built prototype can run well even though it uses a GPRS network with a speed of 1,37 seconds.
Formation of professional direction motives of secondary education students in physics lessons in senior classes

The article deals with the issues related to the formation of motives for the professional orientation of secondary school students in the course of studying physics. The main forms and ways of implementing the principle of practical orientation in the study of academic subjects in general secondary education institutions are identified: students are told about all the features of their future activities, the best ways to get involved in this profession, etc.; young people who have not made their choice are introduced to a list of promising professions, and forms of professional orientation are highlighted in physics lessons and in extracurricular activities.It is proved that vocational guidance work at school should be based on classical and modern developments in the segment of vocational guidance of youth and students. It has been found that the motives of professional orientation in high school physics lessons, which include questions about industrial objects, have significant potential for this.It is determined that the task of forming the motivation of high school students to get acquainted with engineering and high-tech working professions will contribute to the future choice of professional activity.It is emphasized that it is important to build the professional orientation of students, which is realized through the general natural and physical components, respectively, taking into account the age characteristics of students, the location of the region, based on the principle of systematicity.It is noted that the most effective means of career guidance work with students is to provide information about professions in the form of thematic conversations, excursions to production facilities, work with illustrations and textbook material during physics lessons.It is determined that the main task of forming motives for students to get acquainted with future professions is to reveal their various facets: to tell not only about the labor functions of an employee, but also to show the place of work, learning environment, familiarize them with modern equipment and leisure activities, etc.
Governance, Investors Motivations and Foreign Direct Investment Inflow in Selected African Countries: Does John Dunning’s Eclectic Paradigm Matters?

Abstract Over the years, studies have focused on the implications of institutional quality as a key factor of FDI inflows into Africa and how it influences the economic processes of various African countries. However, in the studies on Africa, investors’ motivations as determinants of foreign direct investment inflows into African regions are grossly understudied and yet determined. As a result, there is a need to investigate the impact of FDI inflows on African countries, as well as the implications of home and host country investment phenomena. The study employs ex-post-facto research using panel data obtained from different World Bank publications; world development indicators, and the Transparency Index database from 1997 to 2022. The System Generalized Method of Moments (SGMM) was used to examine the data. The results reveal that governance and investor motivations have a negative impact on each other; the effect of the interacted variables is less than the total of the impacts of governance and investor motivations separately. Therefore, FDI in the selecte3d African countries will decline by 7.5 points for every unit increase in the level of poor governance and investor motivations, and this validates the locational assumption of John Dunning Eclectic Paradigm with the proposition that FDI inflows is a function of the home and host investment phenomena As a result, we recommend that African governments implement Regulatory reform, market reform, complete streets policies, and contingency-based planning that are FDI inflow induced.
An Overview of Criminal Provisions Responding to Hate Speech in Turkish Law

Abstract There are several reports and cases that demonstrate the clear increase of hate speech in Turkey through media and especially on social media against some national and religious minorities, asylum seekers, refugees, and LGBTQ. This was also reported by the European Commission which pointed out that there is no effective prosecution of incitement to hatred, including by the media. In addition hate speech is not clearly regulated, expressions that can be considered hate speech are interpreted sometimes through provisions that regulate the crime of defamation against a person or the crime of defamation against a part of people. Although tidy legislation which defines and regulates hate speech through media, the internet and, social media is not yet available in the Turkish Penal Code. Major provisions that can be associated with hate speech are available in the Turkish Penal Code in a scattered manner. There are also related regulations in the law governing internet broadcasting and the law governing radio and television broadcasting. Expressions that can be considered hate speech are, in some cases interpreted through provisions that regulate the crime of defamation against the person. The most important problem pertains to the fact that hate speech and hate crimes have not been prescribed under a single title in Turkish Law.
A Counterblast to Pessimists and Naysayers – Intelligent Echocardiography Remains the Foundation Stone of Evidence-Based Clinical Cardiology

Abstract Provocative comments can entertain and instruct as long as they are used to stimulate a civilized discussion, and it is fun to embrace an opportunity to change one’s mind (and learn). I am therefore delighted to respond to Adrian Ionescu’s comments, although I think he has got it wrong—as I will aim to demonstrate. In the spirit of this debate, please indulge me while I too let off some steam! I have always disliked the fact that one of the subspecialties within cardiology, which did not exist when I qualified in the 1970s, has come to be known as “cardiac imaging.” Cardiac diagnosis is not about pictures, although some conditions are indeed instantly recognizable. Usually, what we need to know to understand disease is how the heart is functioning, much more than what it looks like. That is true for coronary arteriography as much as for non-invasive imaging. If I am forced to adopt a subspeciality label, then I would much prefer to be considered a clinical pathophysiologist. Accurate diagnosis is the sine qua non of logical evidence-based clinical practice, yet we often get it wrong. And there remain many patients with disease that we cannot diagnose precisely because we do not understand it sufficiently. Why does this patient with heart failure with reduced ejection fraction have impaired left ventricular function? Why does that patient with normal blood pressure have left ventricular hypertrophy? In this patient in sinus rhythm, which particular aspects of cardiovascular function will influence the development of dementia? Cardiologists who are expert in performing, analyzing, and interpreting detailed echocardiographic and cardiovascular investigations are needed to give us the best chance of answering such questions. They cannot be replaced by an uninterpretable computer algorithm when no-one yet knows the answer—but by staying in control, researchers can use artificial intelligence (AI) to help their thinking.
The Efficiency of High-performance SHA-3 Accelerator on the System Level

The Secure Hash Algorithm-3 (SHA-3) has become increasingly vital in numerous security applications within the Internet of Things (IoT) field. Given the diverse purposes, SHA-3 serves in the IoT landscape, the need for versatility is essential. Additionally, recent studies have primarily focused on achieving high performance and optimizing resource utilization for SHA-3. However, these studies have overlooked the crucial aspect of data transfer between the external memory and the hash function block, as transfer time plays a significant role. This paper proposes an efficient SHA-3 architecture designed for System-on-Chip (SoC) based on a Field Programmable Gate Array (FPGA) called system-level SHA-3 accelerator (SSA) to address the aforementioned challenges and be suitable for real edge computing. The SSA contains three key proposals. Firstly, the proposed padding architecture is designed from a combination of Serial Input to Parallel Output (SIPO) and a barrel shifter, which is well-suitable for managing the data transfer process on the system. Secondly, implementing a two-stage pipelining within the Round Function (RF) to reduce critical path delays and make a high occupancy. Finally, designing four modes (SHA3-224, SHA3-256, SHA3-384, and SHA3-512) enables the SSA to compute various SHA-3 to support a wide range of applications. Our architecture is implemented on the DE10-Standard Development Kit (Cyclone V SX SoC-5CSXFC6D6F31C6N), which is integrated into the FPGA and is controlled by a Dual-Core ARM Cortex-A9 processor. The result is up to 38.34 Gbps in throughput and 5.61 Mbps/ALM in efficiency for the RF computation, 28.02 Gbps in throughput, and 3.63 Mbps/ALM for the full proposed architecture.
Project technologies in teaching natural sciences

This article reveals the peculiarities of the science teacher's activity in organizing the work of high school students on projects of various types. The relevance of this issue is related to the fact that the project method is one of the most effective methods for increasing the cognitive activity of high school students as well as the formation of key and subject competencies in them, including practical skills that are important in further activities. Different types of projects that can be offered to students in the process of studying natural sciences have been considered. They are classified by the direction and the method of implementation (informational, practice-oriented, research), by the term (short-term, medium-term and long-term) and the form of implementation (individual, group and individual-group projects). The functions of the teacher and students at each stage of the implementation of the educational project have been defined, which include: organizational-preparatory, search, final, resulting, final stages. The roles and functions of students that they can perform in the process of group work on the project have been classified (organizational, motivational, executive, control). Within the framework of the practical part of the research, examples of the application of the project method in the educational process of high school have been given. In particular, the peculiarities of the organization of students’ work during the implementation of an individual informational project in chemistry on the topic: «Methods of disposal of PET-products», a group practical-oriented project from the integrated course «Natural Sciences» on the topic: «Research on the compliance of the school menu with the energy needs of children of different ages» and an individual group research project on physics on the topic: «Aerodynamic properties of paper airplanes» have been considered. The emphasis is placed on the fact that the use of project technologies in science lessons allows to increase the motivation of students to study and also contributes to their academic success. At the same time, it requires high professional training of the teacher to apply the project method in educational activities. Therefore, the direction of further research is the formation of future science teachers’ readiness to use project technologies in the teaching of natural sciences at institutions of general secondary education.
Modeling Moving Target Defense strategies and attacks with SAN and ADVISE

Security evaluation can be used at the early stage of development to identify the security level of the system’s components and to guide the system’s development process. In previous works we extended the ontology of ADVISE Meta, an high-level security modeling framework, to integrate common attack patterns and standardized adversaries’ profiles, thus enabling wide-ranging security analyses. However, in such formalism, the active part is played only by the adversary, while the defense is only a passive aspect delegated to a few embedded attributes of the models. This work proposes a preliminary study on an approach to model active dynamic defense strategies, known as Moving Target Defense (MTD). We target one of them, the proactive obfuscation technique, which is modeled using Stochastic Activity Networks to represent the system’s dynamic defense and, we join it with an ADVISE model to represent the attack counterpart.
Voice familiarity in an interactive voice-reminders app for elderly care recipients and their family caregivers

&lt;p&gt;This thesis focuses on the effect of voice familiarity in voice reminders between elders and their caregivers. An interactive voice application (for desktops and smartphones) was created to study these effects. Past work suggests voice familiarity may contribute to higher understanding from the listener and may help boost physical and audiovisual deficiencies [1, 2]. Therein for this study, seniors and their family care providers along with medical providers were consulted for voice application design and improvement opportunities using two user tests with 17 care dyads and 15 medical care providers. Results from qualitative content analysis found that care dyads prefer familiar voice reminders for routine tasks (like taking medication) and generally find caregiver-voiced reminders to be acceptable, while medical care providers have mixed opinions about older adults using recorded reminders.&lt;/p&gt;
Components and levels of teachers' readiness to use a biological experiment in biology lessons

The leading activity for schoolchildren in the New Ukrainian School is practical learning, so it is necessary to look for opportunities to implement practical work methods for the formation of subject competence of students in this process, which will contribute not only to improving the quality of general education of students, but also to the formation of subject competence. This approach to the organization of education actualizes the problem of forming students' practical abilities and skills, which cannot be formed without thorough theoretical training and without methodically correctly organized work on the part of the teacher. The purpose of the article is to theoretically substantiate the components and levels of readiness of biology teachers to use a biological experiment in general secondary education institutions. The article also discusses the structure of the formation of subject competence of students during the use of biological experiments in biology lessons in general secondary education institutions. It is represented by the unity of interconnected and interdependent components: motivational; cognitive; practical; evaluator. The motivational component covers the teacher's orientation to the desire to conduct lessons using a biological experiment. Includes motives based on one's own views and beliefs. The cognitive component is expressed in a set of general biological knowledge and interdisciplinary knowledge. The practical component reflects the process of practical application of knowledge, the goal of which is to achieve a certain level of knowledge and practical skills during biological experiments. The assessment component is expressed in the teacher's ability to adequately assess his level of biological knowledge and practical abilities and skills. The levels of formation of subject competence of students in biology lessons using a biological experiment were determined: high, medium and low.
Resource Management for MEC Assisted Multi-layer Federated Learning Framework

In this paper, a mobile edge computing (MEC) assisted multi-layer architecture is proposed to support the implementation of federated learning in Internet of Things (IoT) networks. In this architecture, when performing a federated learning based task, data samples can be partially offloaded to MEC servers and cloud server rather than only processing the task at the IoT devices. After collecting local model parameters from devices and MEC servers, cloud server makes an aggregation and broadcasts it back to all devices. An optimization problem is presented to minimize the total federated training latency by jointly optimizing decisions on data offloading ratio, computation resource allocation and bandwidth allocation. To solve the formulated NP hard problem, the optimization problem is converted into quadratically constrained quadratic program (QCQP) and an efficient algorithm is proposed based on semidefinite relaxation (SDR) method. Furthermore, the scenario with the constraint of indivisible tasks in devices is considered and an applicable algorithm is proposed to get effective offloading decisions. Simulation results show that the proposed solutions can get effective resource allocation strategy and the proposed multi-layer federated learning architecture outperforms the conventional federated learning scheme in terms of the learning latency performance.
Hard disk failure prediction based on improved WOA-BP

In the era of rapid development of the Internet, how to ensure the Storage security of data has become an important issue. As the physical carrier of data, once the hard disk fails, it may lead to irreparable data loss. Therefore, hard disk failure prediction is very important for data storage security of large-scale storage cluster. This article focuses on the hard disk SMART data of the large cloud storage company Backblaze, using the WOA-BP model for model training, and optimizing the random initial value problem in the WOA algorithm using Cubic mapping method. The experimental results show that the improved WOA-BP model achieved a 96% accuracy rate in hard disk fault prediction.
Primary degrees of freedom of the printed circuit board selection based on the reduced method

A reduced method is used to select primary degree of freedom (DOF) of the printed circuit board. These nodes with primary DOF are selected as test points in the modal test to verify the accuracy of the modal numerical model. The primary elements of the printed circuit board are selected firstly based on their weighted Rayleigh quotient. Then the nodes with primary DOF are selected by the dynamic condensation method. By using this method, the error of the first 25 modal frequencies between the reduced model and the complete model is below 5% when the selected primary DOF is set to 30. Most selected DOF are z direction, so number of test points of the modal test in the other two directions is much less than the traditional test method.