Reviewerly/exHarmony huggingface dataset:
CHALLENGES AND COPING MECHANISM OF PUBLIC ELEMENTARY TEACHERS AND THE ACADEMIC BEHAVIOR AND PERFORMANCE OF LEARNERS DURING THE TRANSITION PHASE OF IN-PERSON LEARNING MODALITIES IN SCIENCE

Another transition in learning modality is implemented as the education sectors and community adapt with the pandemic.Nevertheless, teaching and learning should be continued, overcoming diverse challenges and adopting various coping mechanisms.The most pressing needs of teachers for coping with current teaching and learning are provision of quality resources creation of policy that will improve balancing of workload designing flexible and equitable work assignments improving health protection, and being supportive for work-life blends.Research Design Descriptive method was used to determine relationship of challenges and coping mechanism of public elementary teachers and the academic behavior and performance of learners during the transition phase of in-person learning modalities in science.The responses were tabulated as basis for statistical treatment of the data.In order to analyze and interpret the data gathered, weighted mean, standard deviation, Pearson r correlation and regression analysis were utilized in the study.Respondents of the Study Random sampling technique was applied from a population of Public Elementary Teachers and Learners at the five high performing Schools under the Sub Office of Santa Cruz namely: Bagumbayan Elementary School, Gatid Elementary School, Santa Cruz Elementary School, Santo Angel Central Elementary School and Santisima Cruz Elementary School came up with 150 respondents of this study.An individual is selected as part of the sample due to good evidence that they are representative of the data population.Sampling Technique Random sampling is one of the simplest forms of collecting data from the total population.Sampling Technique Random sampling is one of the simplest forms of collecting data from the total population.From the findings above, we can infer that at 0.05 level of significance, the null hypothesis "There is no significant relationship between Coping Mechanism of teachers and academic behavior and academic performances of the students" is partially rejected.Thus, the alternative should be partially accepted which incites that there is a significant relationship between them."There is no significant relationship between Coping Mechanism of teachers and academic behavior and academic performances of the students" is partially rejected.Thus, the alternative should be partially accepted which incites that there is a significant relationship between them.
Teachers’ Characteristics and their ICT Competence in West II District, Cagayan de Oro City

The study sought to determine whether there was a connection between teachers' characteristics and the ICT competence of West 2 District Public School Teachers(n= 100).The study employed a descriptive-correlational methodology.The research instruments were the Teachers' Demographic profile and a questionnaire patterned from the NICS for teachers' Technology Concept and Operation developed by the CICT.Data were analyzed using frequency, percentage, mean, standard deviation, and Pearson r Correlation Coefficient.The findings revealed that the majority of participants belonged to Millennials, Females, Bachelor's Degree holders, 1-10 years of teaching experience, 1-3 ICT-related seminars attended, and in Teacher 1 position."Office and Teaching Productivity tool" are Well Learned by the teachers among the four standards set by NICS for teachers' Technology Concept and Operation.Gender and Length of service have no significant relationship with ICT competence.On the contrary, Age, Educational Qualification, ICT-related seminars attended, and Teaching position have significant relationships with ICT competence.Teachers are encouraged to develop their ICT skills in Basic Computer Operation through mentoring and coaching during LAC sessions.Teachers are also encouraged to strengthen the mechanism for enhancing ICT proficiency by incorporating ICT training into In-Service Training (INSET) for teachers, which is anchored on the NICS-for-teachers.
FUNDAMENTALS OF CAMPUS JOURNALISM: A RESOURCE LEARNING MATERIAL FOR STUDENT JOURNALISTS

This study aims to determine the effect of the fundamentals of campus journalism a resource learning material for student journalists using quasi-experimental research design emphasizing onegroup approach.The developed learning resource material was evaluated by thirty (30) experts such as the School Paper Advisers (SPA), Coaches and Trainers, and Master Teachers for content of the material, structural design, organization and presentation and timeliness of information with all the criterial deemed as highly acceptable.Thus, the writing competencies are also assessed as to accuracy of information, brevity and clarity of information, style of writing, and fairness and balance in writing which noted as highly appropriate.It was tested in the fifty (50) student journalists from Los Baños National High School Batong Malaki (LBNHS-BM) using the prewriting and post writing activities.Using the mean, standard deviation, ANOVA, and T-test as the primary statistical tools, it revealed that student journalists significantly increased their journalistic writing competencies using the developed learning material on campus and descended from the developing level to the proficient level.This indicated that the material is effective and can enhance the writing competencies of the student journalists.It is strongly recommended that the developed learning material be used in school training by the school paper advisers, coaches and trainers, and student journalists.Also, another type of content in campus journalism may be made, such as photojournalism, copyreading, headline writing, and cartooning, which are all part of developing writing competencies and an essential part of campus publication.Further research may be made for the improvement and betterment of this study.
Regulation by Design and the Governance of Technological Futures

Abstract Regulation by design is an increasingly common approach in the governance of digital technologies. Under this approach, the developers of digital systems must adopt technical measures that implement the specific requirements mandated by law in their software. Some jurisdictions, notably the European Union (EU), have turned to regulation by design as a mechanism to automatically enforce legal requirements, but this article argues that such an approach can have important implications for long-term governance. Drawing from examples of regulation by design in EU law, it shows that by-design provisions delegate rule-making power to software designers, whose interpretations of the law become entrenched in digital systems. This delegation process suffers from legitimacy deficits, which are compounded whenever digital systems continue to enforce the designer-made rules as they operate for years and, sometimes, decades. Yet, these legitimacy deficits are not unavoidable, as regulation by design can be used to force designers to adopt technical and organisational practices that mitigate the risks of rule entrenchment to future generations. By mapping the long-term risks of regulation by design and potential solutions to them, this article provides a first step towards approaches to regulation by design that do not sacrifice the future for present interests.
30 Years of Research on Semantic Similarity Measurement

Over the past three decades, researchers have been interested in measuring the semantic similarity between words or concepts in natural language processing. This interest has arisen due to the need for more effective techniques for information retrieval, text classification, and other tasks. The concept of semantic similarity refers to the degree of relatedness between two words or concepts based on their meaning or context. Semantic similarity measurement involves various methods such as knowledge-based, corpus-based, and hybrid methods. In this paper, we review the evolution of semantic similarity measurement over the past 30 years, including the different approaches used and their advantages and limitations. We also discuss the challenges in developing accurate semantic similarity metrics and highlight the emerging trends in this field, such as the use of deep learning techniques to improve the accuracy of semantic similarity measurement. Finally, we conclude by suggesting some directions for future research in this field.
Noise robust neural network architecture

Abstract In which we propose neural network architecture (dune neural network) for recognizing general noisy image without adding any artificial noise in the training data. By representing each free parameter of the network as an uncertainty interval, and applying a linear transformation to each input element, we show that the resulting architecture achieves decent noise robustness when faced with input data with white noise. We apply simple dune neural networks for MNIST dataset and demonstrate that even for very noisy input images which are hard for human to recognize, our approach achieved better test set accuracy than human without dataset augmentation. We also find that our method is robust for many other examples with various background patterns added.
Multistage entanglement swapping using superconducting qubits in the absence and presence of dissipative environment without Bell state measurement

Abstract In recent decade the entangled state generation is of great importance in the quantum information processing and technologies. In this paper, producing the distributed entangled state of superconducting (SC) qubits is considered using an entanglement swapping protocol in three successive stages. The SC qubit pairs (i, i+1 with i=1, 3, 5, 7), where each pair of the qubits has been placed on a separate chip, are initially prepared in maximally entangled states. The external magnetic fields on capacitively coupled pairs (2, 3) and (6, 7) are implemented for modulating the qubits. Then, the SC qubits (1, 4) and (5, 8) are converted into entangled states via operating proper measurements instead of Bell state measurement (which is generally a hard task). Finally, the distributed entangled state of target SC qubits (1, 8) can be obtained by applying external magnetic fields on qubits (4, 5) and operating suitable measurements. This process is studied in the absence and presence of thermal decoherence effects. The concurrence, as a measure of entanglement between two qubits, success probability of the distributed entangled states and fidelity are evaluated, by which we find that the state of target SC qubits (1, 8) is converted to Bell state at some moments of time. Also, there exist appropriate conditions in which maximum of success probability of the obtained states in each stage approaches 1. Also, the maxima of concurrence and success probability gradually decrease due to thermal noise as time goes on. Moreover, convincing amounts of fidelity, success probability and entanglement can be obtained for the achieved entangled states.
Application of Prototype Method In System Design Integrated Database to Support Training Food and Nutrition Field at SEAMEO RECFON

This study discusses the application of the prototype method in the design of an integrated database system to support training in the field of food and nutrition. The case study used in this research is SEAMEO RECFON Southeast Asian Ministers of Education Organization Regional Center for Food and Nutrition (SEAMEO RECFON), which is an inter-ministerial organization of education in Southeast Asia in the field of food and nutrition. The research carried out is adjusted to the business processes running at SEAMEO RECFON, as well as according to ongoing events with current conditions. Researchers used a descriptive method in this study. The selected development method is the prototype method. The application of the prototype method makes it easier to design research that aims to describe and explain objects based on existing conditions. In the prototype research method, there is a prototyping section which makes it easier for researchers to make the necessary designs. This study aims to produce an integrated database system design. Based on the research results, this system has been successfully designed as expected so that the prototype that has been made can be used as a basis for continuing work on the system to be made. The results of this design can be used as a blueprint or documentation for the organization with the hope that later it can be used as literature to develop a database system to support training in the field of food and nutrition and all future program activities.
Utilization of a Novel Side Notch Semi-Automatic Biopsy Device

Obtaining high-quality biopsy specimens is crucial for accurate diagnosis and treatment planning. The SuperCoreAdvantage™side notch semi-automatic biopsy device, developed by Argon Medical Devices, is a novel side notch semi-automatic biopsy device that offers optimized tissue sampling with minimal fragmentation and preserved tissue architecture. This case series aims to showcase the efficacy of the SuperCoreAdvantage™device in two cases involving different anatomical locations. Additionally, the series discusses the significance of reducing dead space in biopsy needle design to improve histologic sampling and diagnostic accuracy.
Workshop Pembuatan Rapor Secara Otomatis dengan Google Workspace di SMK IDN Boarding School Jonggol

Advances in technology make it easy for everyone with regards to the ease of obtaining and managing information. One clear example is the development of the internet which has become an icon of technological development. Especially in the era of education 4.0, the internet plays an important role in the educational process. In the era of education 4.0 educators and students are required to be able to integrate technology in every educational activity. One of the applications of technology in education today is the existence of an internet-based report card information system or what we usually know as online report cards. This service is a literature study that aims to collect information related to the use of the online report card information system implemented by several schools. The results obtained from this literature study are that the online report card system makes it easy for educators or teachers at SMK IDN Boarding School Jonggol to process student value data which can be accessed by both students and parents
Implementasi Sistem Akademik Berbasis Web di SD Anak Aptana Bangsa Jakarta Timur

This outreach aims to introduce a web-based academic information system at SD Anak Aptana Bangsa East Jakarta to be a beneficial activity that serves the needs of the school. In this activity, through the development of a website-based information system, we will provide a platform with a database for managing data on students, faculty and staff at schools and information on academic activities. This activity involves SD Anak Aptana Bangsa teachers and staff to fulfill the requirements of the STIKOM CKI KKP Strata-1 course. The programming language PHP and the database MySQL are used for the development of this information system. This information system provides an information medium that makes it easier for teachers and students to obtain information about school activities. In addition, the system will also serve as a promotional tool for SD Anak Aptana Bangsa in East Jakarta. By introducing a web-based academic information system at SD Anak Aptana Bangsa, the outreach is expected to bring real benefits in increasing the efficiency of academic data and information management in schools.
Peningkatan Kualitas Penulisan Skripsi Bagi Mahasiswa STIA Muhammadiyah Selong

Writing a thesis is still a mandatory requirement for obtaining a bachelor's degree. Even though at this time there are many non-thesis pathways that are graduation requirements, generally in Higher Education (PT) it is still a must. Then writing a thesis becomes a difficulty for students, not a few even drop out of campus because of difficulty writing a thesis. Therefore, the purpose of this community service activity is to help students prepare their thesis so as to improve its quality. So students can write a thesis according to their interests when studying. Students write their own thesis and do not use the services of other people in writing thesis. Using the services of other people in writing thesis certainly reduces the authority and intellect of students. The method or stages used to solve the target activity problem are as follows. Outreach to students about the requirements for thesis writing, Provision of Material on Procedures for Writing Thesis, Training, Assistance, and Thesis Writing Simulation. Students who took part in this activity looked enthusiastic because writing a thesis was a new world for them. The enthusiasm of the participants was seen from their persistence in following the material from the beginning to the end of the service. The fruit of enthusiasm and persistence in following the course of the event resulted in an understanding regarding how to write a good thesis marked by increased quality and faster completion time.
Robust Kalman Filters Based on the Sub-Gaussianα-stable Distribution

&lt;p&gt;Motivated by filtering tasks under a linear system with non-Gaussian heavy-tailed noise, various robust Kalman filters (RKFs) based on different heavy-tailed distributions have been proposed. Although the sub-Gaussian α-stable (SGαS) distribution captures heavy tails well and is applicable in various scenarios, its potential has not yet been explored in RKFs. The main hindrance is that there is no closed-form expression of its mixing density. This paper proposes a novel RKF framework, RKF-SGαS, where the signal noise is assumed to be Gaussian and the heavy-tailed measurement noise is modelled by the SGαS distribution. The corresponding joint posterior distribution of the state vector and auxiliary random variables is approximated by the Variational Bayesian (VB) approach. Also, four different minimum mean square error (MMSE) estimators of the scale function are presented. The first two methods are based on the Importance Sampling (IS) and Gauss-Laguerre quadrature (GLQ), respectively. In contrast, the last two estimators combine a proposed Gamma series (GS) based method with the IS and GLQ estimators and hence are called GSIS and GSGL. Besides, the RKF-SGαS is compared with the state-of-the-art RKFs under three kinds of heavy-tailed measurement noises, and the simulation results demonstrate its estimation accuracy and efficiency.&lt;/p&gt;
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow

We propose FlowReg, a deep learning-based framework for unsupervised image registration for neuroimaging applications. The system is composed of two architectures that are trained sequentially: FlowReg-A which affinely corrects for gross differences between moving and fixed volumes in 3D followed by FlowReg-O which performs pixel-wise deformations on a slice-by-slice basis for fine tuning in 2D. The affine network regresses the 3D affine matrix based on a correlation loss function that enforces global similarity. The deformable network operates on 2D image slices based on the optical flow network FlowNet-Simple but with three loss components. The photometric loss minimizes pixel intensity differences differences, the smoothness loss encourages similar magnitudes between neighbouring vectors, and a correlation loss that is used to maintain the intensity similarity between fixed and moving image slices. The proposed method is compared to four open source registration techniques ANTs, Demons, SE, and Voxelmorph. In total, 4643 FLAIR MR imaging volumes are used from dementia and vascular disease cohorts, acquired from over 60 international centres with varying acquisition parameters. A battery of quantitative novel registration validation metrics are proposed that focus on the structural integrity of tissues, spatial alignment, and intensity similarity. Experimental results show FlowReg (FlowReg-A+O) performs better than iterative-based registration algorithms for intensity and spatial alignment metrics with a Pixelwise Agreement of 0.65, correlation coefficient of 0.80, and Mutual Information of 0.29. Among the deep learning frameworks, FlowReg-A or FlowReg-A+O provided the highest performance over all but one of the metrics. Results show that FlowReg is able to obtain high intensity and spatial similarity while maintaining the shape and structure of anatomy and pathology.
Type of themes and thematic progression patterns in low achiever’s descriptive writings

The Low Achiever’s writing is frequently categorized as the low coherent text due to the quality of their writings based on the rubric used at school. Hence, the focus in this study is to analyze the Types of Theme and Thematic Progression patterns found in Low Achiever’s Descriptive Writings with descriptive-qualitative research design. The objective is to observe the coherency quality of low achiever’s based on the analysis of Theme and Thematic Progression. The steps are selecting two low achiever’s descriptive texts based on the school’s rubric, dividing them to clauses, analyzing both the Theme and the Thematic progression, then providing the results of the analysis. The result shows that all types of Themes and Thematic Progressions are found in both writings. The Unmarked Topical Theme and Constant Theme Patterns are most frequently used. The conclusion is that Low Achiever’s Descriptive Writings cannot be considered as a low-coherent text based on School’s rubric only, Theme and Thematic Progression analysis is suggested to be conducted for extra observation and evaluation despite of the easy and common themes many constant types used to start the clauses in both of their writings. Keywords: descriptive text, low achiever’s writings systemic functional linguistics, theme, and thematic progression
Cultural resistance and negotiation in video game Pamali: Indonesian folklore horror - The Tied Corpse

Localization of video games makes it easier for players with different language settings to play foreign games. However, a few games customized their game with cultural terms that may confuse the player. This research aimed to examine (1) cultural resistance and negotiation terms, (2) and the subtitling strategy translation on the game Pamali: Indonesian Folklore Horror - The Tied Corpse by StoryTale Studios. The data sources were extracted from words, phrases, and sentences from the game subtitles in Indonesian and English versions. Document observation was used as the data collection technique, meanwhile content analysis was used as the data analysis technique. Cultural-related term classification data were analyzed using the combined taxonomic theory of cultural-term from (Newmark, 1988; Tomalin and Stempleski, 2013; Zare-Behtash and Firoozkoohi, 2013). Gottlieb’s (1994) subtitle translation strategy was used by the researcher to identifiy the translation process. The result shows six resisted data in three cultural-term categories; Dialect, Ideas; Beliefs. On the other hand, forty-one negotiated data were found in ten cultural-related categories; Ideas; beliefs, Concept; religion, Dialect, Gesture and Habit, Ecology, Idiom, House and Towns, Artefact, Date, and Antrophonym. The Imitation subtitling strategy is found in the resisted data. Meanwhile, the negosiated data applied the Transfer, Transcription, Expansion, Paraphrase, and Deletion subtitling strategy. The negotiation strategy was applied more than the resistance to commercially make the video game accessible to the international player.Keywords: resistance and negotiation, cultural-related term, subtitles, Pamali: Indonesian folklore horror - The tied corpse