Reviewerly/exHarmony huggingface dataset:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)

The 16th ACM International Conference on Web Search and Data Mining (WSDM 2023) was held in Singapore. It was held as in-person conference that also featured rich virtual elements. This brief report provides an overview of WSDM 2023 with organization and program details and statistics from Conference Chairs and Program Committee Chairs, as well as a message from the WSDM Steering Committee Chair. Date: 27 February-3 March 2023. Website: https://www.wsdm-conference.org/2023.
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation

The segmentation of cardiac structure in magnetic resonance images (CMR) is paramount in diagnosing and managing cardiovascular illnesses, given its 3D+Time (3D+T) sequence. The existing deep learning methods are constrained in their ability to 3D+T CMR segmentation, due to: (1) Limited motion perception. The complexity of heart beating renders the motion perception in 3D+T CMR, including the long-range and cross-slice motions. The existing methods' local perception and slice-fixed perception directly limit the performance of 3D+T CMR perception. (2) Lack of labels. Due to the expensive labeling cost of the 3D+T CMR sequence, the labels of 3D+T CMR only contain the end-diastolic and end-systolic frames. The incomplete labeling scheme causes inefficient supervision. Hence, we propose a novel spatio-temporal adaptation network with clinical prior embedding learning (STANet) to ensure efficient spatio-temporal perception and optimization on 3D+T CMR segmentation. (1) A spatio-temporal adaptive convolution (STAC) treats the 3D+T CMR sequence as a whole for perception. The long-distance motion correlation is embedded into the structural perception by learnable weight regularization to balance long-range motion perception. The structural similarity is measured by cross-attention to adaptively correlate the cross-slice motion. (2) A clinical prior embedding learning strategy (CPE) is proposed to optimize the partially labeled 3D+T CMR segmentation dynamically by embedding clinical priors into optimization. STANet achieves outstanding performance with Dice of 0.917 and 0.94 on two public datasets (ACDC and STACOM), which indicates STANet has the potential to be incorporated into computer-aided diagnosis tools for clinical application.
SPATIAL DISTRIBUTION OF CHEMICAL ELEMENTS IN SOILS FROM THE SOUTHEASTERN PART OF NORTH MACEDONIA (GEVGELIJA, VALANDOVO, BOGDANCI AND DOJRAN MUNICIPALITIES)

In this work, the contents and spatial distributions of 18 elements (Ag, Al, Ba, Ca, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, P, Pb, Sr, V, Zn) in the soils of the southeastern part of North Macedonia (Gevgelija–Valandovo–Bogdanci–Dojran region) are presented. For this purpose, a total of 86 soil samples were collected from 43 locations (43 samples of topsoil and 43 samples of subsoil). All samples were analyzsed by inductively coupled plasma with atomic emission spectrometry (ICP-AES) after complete digestion with four acids (HNO3, HF, HClO4, and HCl). The obtained results were statistically evaluated and spatial distribution maps for all analysed elements were also prepared. Factor analysis was performed to reduce the number of data used and new synthetic variables (factors) were identified. Through the application of factor analysis, three geochemical associations were identified: Factor 1 (Fe, V, Mn, Cu, Ni, Zn, and Pb), Factor 2 (Ba, Li, and K), and Factor 3 (Mg, Al, Ca, and Sr). From the obtained data and the maps of spatial distribution, it could be concluded that the occurrence of the analyzed elements is related to the lithology of the region. Namely, it was found that the content of elements of Factor 1 is higher in soils dominated by Mesozoic volcanic rocks, Quaternary alluvial sediments, and Proterozoic gneisses and Paleozoic shales; the content of elements of Factor 2 is higher in soils in the north (where Mesozoic felsic plutonites dominate) and east (where Proterozoic gneisses and Paleozoic shales dominate) of the study area; and that elements of Factor 3 are present in soils from the area dominated by Quaternary alluvial sediments, Paleozoic carbonates and shales, and Mesozoic mafic plutonites. The only exception is the fact that the P content in the topsoil from the Gevgelija and Valandovo valleys along the Vardar and Anska rivers is higher than in the subsoil samples, which is probably due to the use of phosphate artificial fertilisers in agriculture.
Informal Field-Based Learning in Librarianship: A Case Study Applying the CAM-OS Framework to Library Guide Construction

Activities such as library guide creation and maintenance can take a large amount of our time without supplying evidence that the time spent is effective or worthwhile. Usage statistics and feedback are one avenue for gauging the impact of a guide, but we overlook another benefit if we focus solely on the user. By applying Tannenbaum and Wolfson’s (2022) CAM-OS framework, we can bring greater intention to tasks that foster informal learning opportunities and harness them to advance librarians’ competencies. A case study of overhauling a library guide on copyright is used to demonstrate and apply the framework.
AIM: Automatic Interrupt Modeling for Dynamic Firmware Analysis

The security of microcontrollers, which drive modern IoT and embedded devices, continues to raise major concerns. Within a microcontroller (MCU), the firmware is a monolithic piece of software that contains the whole software stack, whereas a variety of peripherals represent the hardware. As MCU firmware contains vulnerabilities, it is ideal to test firmware with off-the-shelf software testing techniques, such as dynamic symbolic execution and fuzzing. Nevertheless, no emulator can emulate the diverse MCU peripherals or execute/test the firmware. Specifically, the interrupt interface, among all I/O interfaces used by MCU peripherals, is extremely challenging to emulate. In this paper, we present <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AIM</monospace> —a generic, scalable, and hardware-independent dynamic firmware analysis framework that supports unemulated MCU peripherals by a novel interrupt modeling mechanism. <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AIM</monospace> effectively and efficiently covers interrupt-dependent code in firmware by a novel, firmware-guided, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Just-in-Time Interrupt Firing</i> technique. We implemented our framework in <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">angr</monospace> and performed dynamic symbolic execution for eight real-world MCU firmware. According to testing results, our framework covered up to 11.2 times more interrupt-dependent code than state-of-the-art approaches while accomplishing several challenging goals not feasible previously. Finally, a comparison with a state-of-the-art firmware fuzzer demonstrates dynamic symbolic execution and fuzzing together can achieve better firmware testing coverage.
Safe Voronoi-Based Coverage Control for Multi-Robot Systems with Constraints

This paper presents a control strategy based on Voronoi partitions to cover an environment with a multi-robot system with state and control constraints. A bounded convex work region is partitioned at each instant using a Voronoi algorithm, providing agents with non-overlapping navigation zones. The algorithm incorporates individual weights for each agent, modifying the partitions to assign a larger area to the agent with the highest weight. The proposed deployment aims to bring the entire system to a stable static configuration corresponding to optimal region coverage. This objective is achieved using a model predictive control and artificial vector fields to guide agents to curves with center points placed at Chebyshev Configurations of the Voronoi partition. The agents are modeled as Dubins airplanes with constant speed and curvature restriction. Simulations are performed using MATLAB software, and the results show the efficiency of the proposed control strategy.
TYPES OF AFFORDANCES AND THEIR ROLE IN QUANTITATIVE UX/UI RESEARCH. A SCOPING REVIEW OF AFFORDANCES-FOCUSED LITERATURE

Human-computer interaction is one of the most prolific fields of the last decades, due to both the rapid technological developments and the increased mass availability of these developments. HCI is also a highly interdisciplinary field, which brings
An Overview of the Evolution and Impact of Chatbots in Modern Healthcare Services

Over the past few decades, healthcare sector has developed along parallel paths with trendy technology. Modern practices of artificial intelligence strategies have led to improved diagnosis, the development of effective treatments, telemedicine, and the development of patient monitoring devices. Many applications have emerged that help doctors and healthcare workers, most notably Chatbot. It is a program that utilises artificial intelligence techniques to conduct conversations in real-time. This program is able to simulate that you are a natural person writing or talking to another Internet user, which is the application. This article discusses the matter of Chatbot technology in developing electronic healthcare services and helping patients communicate electronically to obtain information that supports them in improving their health condition.
Users and non-users in engineering and feminist participatory research on sustainable aviation

Within engineering, economics, and the natural sciences, sustainable aviation is often configured as an ecological and economic problem, which can be solved through technological innovation. In contrast to this, we set up a research project centering on social innovation, named Human demands of sustainable aviation. In the project, we combined theories from Feminist Science and Technology Studies (FSTS) with methods from Participatory Design (PD) and practice-based Ontological Design (OD). In this paper, we use our project as a case study to analyze and discuss how users and non-users are configured within different disciplinary contexts. The findings illustrate that conceptualizations and categorizations of users and non-users are not stable. They denote highly situated phenomena that emerge out of different research approaches and understandings of innovation. Power structures that are entangled with the positions researchers take, including specific theories, methods, and (implicit) values, pervade these contexts and understandings. With this in mind, we advocate for power-critical reflections on the performative effects of knowledge making as processes of world making and for inter- and transdisciplinary research to do justice to the different life worlds we inhabit. We further argue that innovation should be based on collectively negotiated visions of how we want to live in the future, instead of predictions that project our current realities into the status quo of tomorrow.
Method of Digitally Presented Texts Extraction from the Image of a Document and their Examination

In this work, the problems of extracting textual information from a document image are solved. It is important to note that the work includes complex use of special knowledge in three areas: technical and forensic examination of documents; phototechnical expertise and computer-technical expertise. The article considers and demonstrates in detail the information for detecting changes in textual information (ink, toner and writing instrument pastes) from digital images. The commission of crimes in the economic sphere, as a rule, is associated with the falsification (forgery) of documents, and the increase in the document flow in the regulation of legal relations, which has been noticeable in recent years, has led to a significant increase in the number of forged documents. This is confirmed by statistical data on forensic handwriting and technical forensic examinations. Since the document is the basis of all human activity, and it contains data drawn up in a certain order and having legal significance. The problem has got many interesting solutions thanks to practical applications such as text recognition, translation, forensics and etc. Despite the fact that this problem has been dealt with for a long time, it is still missing, i.e. there is no well-developed methodology for image recognition of documents. The image of text information depends on the type of scene, type of digital camera, amount and direction of illumination, type of substrate and etc. It is important to note here that when obtaining information (from the document under study) in modern conditions, it is possible to fix the document using any device (camera, smartphone, scanner and etc.) and in any conditions (day/night, street, radiation source) that are unknown in advance. Proceeding from this, and this is a problem in modern conditions, in the study of electronic digital information of text documents. In this work, a study to solve this problem was carried out.
Trace elements in the clinoptilolite tuffs from four Bulgarian deposits, Eastern Rhodopes

In this study, we are focusing on the presence and contents of the rare earth and trace elements in the clinoptilolite-rich tuffs of the four large zeolite deposits Beli Plast, Golobradovo, Most and Beliya Bair (Eastern Rhodopes, Bulgaria). The chemical properties of the tuffs were studied with regard to be used in eco-toxicological experiments as sorbents for detoxification of the experimental animals. The clinoptilolite tuffs are relatively depleted in Sc, V, Cr, Co, Ni, Cu, Zn, Ga, W, Y, Zr, Ba, Hf, and REE. A relative enrichment is found for the elements Be, S, Ag, In, Sn, Sb, Tl, Bi, and Pb. According to the requirements of the European legislation regarding the contents of lead, cadmium, arsenic, clinoptilolite, clay minerals and quartz in the zeolitized rocks, the tuffs from Beli Plast and Most deposits could be used as a sorbent for detoxification purposes.
Coarsening effects on k-partite network classification

Abstract The growing data size poses challenges for storage and computational processing time in semi-supervised models, making their practical application difficult; researchers have explored the use of reduced network versions as a potential solution. Real-world networks contain diverse types of vertices and edges, leading to using k -partite network representation. However, the existing methods primarily reduce uni-partite networks with a single type of vertex and edge. We develop a new coarsening method applicable to the k -partite networks that maintain classification performance. The empirical analysis of hundreds of thousands of synthetically generated networks demonstrates the promise of coarsening techniques in solving large networks’ storage and processing problems. The findings indicate that the proposed coarsening algorithm achieved significant improvements in storage efficiency and classification runtime, even with modest reductions in the number of vertices, leading to over one-third savings in storage and twice faster classifications; furthermore, the classification performance metrics exhibited low variation on average.
A MODEL OF FORMING THE TEACHER’S READINESS TO CONDUCT PRACTICAL CLASSES WITH FUTURE SPECIALISTS IN THE FIELD OF LAW

The article represents a model of the formation of teachers’ readiness to conduct practical classes, taking into account the components of readiness, stages of its formation, features of the use of various pedagogical technologies, methods and forms of education. The purpose of the research is to determine the technologies, forms and methods that allow organizing practical classes and building a model of the teacher’s readiness to conduct practical classes. The methodology of the research. Considering the goals of conducting practical classes, it was revealed that the effectiveness of the practical lesson depends on the interaction between the teacher and students, which is based on the organizational work carried out by the teacher, and certain forms, technologies, methods and means of learning are chosen for use in accordance with the set goal. It has been established that practical training is mostly conducted using cases that are based on simulated or real situations. The demands placed on students as a result of their participation in practical classes are demonstrated. The theoretical basis of the formation of the readiness of teachers is presented through the methodical provision of practical classes, the introduction of pedagogical conditions. The results. The analysis of pedagogical learning technologies made it possible to highlight the peculiarities of their application through the setting of tasks, the choice of content, forms and methods of learning, diagnosis of results, introduction of business and role-playing games, simulation exercises, trainings, psychological and pedagogical trainings for individual development, dialogical thinking. It has been proven that the effectiveness of training teachers for practical classes depends on the ability to choose pedagogical technologies, methods, techniques, modern teaching tools that allow modeling and reproducing certain professional activities of future specialists, orient them to the development of professional qualities (be: non-conflict; attentive to details ; stress-resistant; ready to take into account someone else’s point of view; ready to work in a team; ready to interact with different people). The practical significance of the obtained results lies in the fact that they contribute to the formation of the readiness of teachers for practical classes through their understanding of the stages of preparatory work, setting goals, determining the forms and methods that can be used to form the professional qualities of students, their competencies and evaluate the results of educational work. Key words: forms, methods, pedagogical conditions, pedagogical learning technologies, stages of teacher’s preparation for practical training, training components.
FORMATION OF COGNITIVE AND INTELLECTUAL COMPETENCE AS A FACTOR OF THE PROFESSIONAL COMPETENCE OF THE FUTURE SPECIALIST

The article clarifies the essence of the concept of cognitive-intellectual competence as an important factor in the professional competence of a future specialist. An analysis of the professional competence of the future specialist was carried out. The st
IMPROVING THE PROFESSIONAL AND PEDAGOGICAL COMPETENCE OF THE FUTURE SCIENCE TEACHER

The main approaches are defined for the formation of the professional and pedagogical competence of the future science teacher. The theoretical meaning of the defined concepts was analyzed: competence, professional and pedagogical competence; determinatio
ENGLISH LEARNING PROGRAM FOR CHILDREN IN ORPHANAGE, MUARA ANGKE, NORTH JAKARTA

&#x0D; To provide quality and equitable education (SDG4), starting from one small area in Jakarta, a community service English Program was held by the Sunda Kelapa Sector Police, North Jakarta and UPH lecturers to teach English to elementary school children at the Orphanage in Muara Angke, Tanjung Priok, North Jakarta. This program was assisted by tutors from students of the Faculty of Education, Pelita Harapan University, while the lecturers supervise the planning and teaching process. This activity aims to train children's communication skills using English. As an international language, English is chosen to be taught to children. Holistic and collaborative technological innovation is used to understand the social and cultural context. Storytelling, conversation, coloring, naming, pronunciation, roleplay, and gamification are used in the learning method. The results of the service show reading and writing skills, increased learning motivation, introduction to material that still needs to be improved, training tutors' teaching skills in guiding and knowing the material properly, and teaching equipment that needs to be improved. In addition, from the learning experience they had, they could learn and play at the same time, feel more confident, and be more active as they increase their sense of competition to achieve the learning goals.
Mobile Instant Messaging (MIM) as a Tool in Teaching English Among ESL Learners: A Systematic Review (2019–2023)

Technology’s proliferation in teaching and learning, specifically in mobile instant messaging (MIM) as a tool has changed the meaning of education around the world. MIM applications have changed the way teachers and learners communicate in a classroom. The impact on ESL learners’ enhancement in learning English has proven that teachers’ exploration on MIM can be widely done in classrooms. However, the reviews on MIM in teaching English is scarce, despite the importance it poses in language teaching and learning. Hence, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were adopted for reviewing current studies. Using three main journal databases, namely Scopus, Web of Science (WoS) and Educational Resources Database Center (ERIC), 21 articles were extracted out of 750, from 2019 to 2023, taking into consideration of exclusion and inclusion criteria. First, the findings found evidence that WhatsApp is mostly and widely used in teaching and learning. In addition, MIM is perceived as a significant learning platform that can aid in the enhancement of the four language skills (i.e., reading, listening, writing, and speaking) as well as integrated language skills and vocabulary. Besides that, MIM is found to help to increase motivation, increase interaction and lower learners’ language anxiety. In general, this study is useful for future researchers to explore and employ MIM in teaching English among ESL learners.
Evaluasi Kualitas Thrombocyte Concentrate (TC) Berdasarkan Kadar pH, Level Kekeruhan, dan Swirling Selama Masa Penyimpanan 5 Hari

Thrombocyte concentrate transfusion was one of the important medical treatments in increasing the number of thrombocytes in patients with medical indications of thrombocytopenia. The monitoring of blood product quality from upstream to downstream must be considered in order to obtain a good quality thrombocyte concentrate. Thrombocyte concentrate was prone to change during storage due to significant changes between in vitro and in vivo conditions. The changes in thrombocyte concentrate quality that commonly occur during storage were the decreased platelet levels, increased of acidity (pH) and turbidity, and loss of thrombocyte swirling in the plasma. Therefore, it was necessary to conduct research to determine the quality of thrombocyte concentrates during the 5-day shelf life to find out whether at the end of the shelf life, these blood products were still suitable for transfusion to the patients. Several tools used in this study were Hematology Analyzer, blood scales, and pH meter. The results of successive studies showed that the thrombocyte concentrate product did not meet the basic quality standards because the number of thrombocytes per unit was below the standard that was set by Regulation of the Ministry of Health of the Republic of Indonesia Number 91 Years 2015.