Reviewerly/exHarmony huggingface dataset:
Critical assessment of on-premise approaches to scalable genome analysis

Abstract Background Plummeting DNA sequencing cost in recent years has enabled genome sequencing projects to scale up by several orders of magnitude, which is transforming genomics into a highly data-intensive field of research. This development provides the much needed statistical power required for genotype–phenotype predictions in complex diseases. Methods In order to efficiently leverage the wealth of information, we here assessed several genomic data science tools. The rationale to focus on on-premise installations is to cope with situations where data confidentiality and compliance regulations etc. rule out cloud based solutions. We established a comprehensive qualitative and quantitative comparison between BCFtools, SnpSift, Hail, GEMINI, and OpenCGA. The tools were compared in terms of data storage technology, query speed, scalability, annotation, data manipulation, visualization, data output representation, and availability. Results Tools that leverage sophisticated data structures are noted as the most suitable for large-scale projects in varying degrees of scalability in comparison to flat-file manipulation (e.g., BCFtools, and SnpSift). Remarkably, for small to mid-size projects, even lightweight relational database. Conclusion The assessment criteria provide insights into the typical questions posed in scalable genomics and serve as guidance for the development of scalable computational infrastructure in genomics.
Gamification in Distance Learning in Corporate Training: A Literature Analysis

The article is devoted to the use of gamification mechanisms in distance learning training. The main aim is to answer two research questions: (QR1) What is the contemporary face of gamification? (QR2) What are the strengths and weaknesses of using gamification in training while people take part in online in the training? While answering the research questions, both a narrative and a systematic literature review were carried out.
Implications of immersive technologies in healthcare sector and its built environment

Objectives This research focuses on how built environment experts can contribute to the MXR-enabled digital innovation as part of the multidisciplinary team effort to ensure post-pandemic resilience in healthcare built environment. The goal of this research is to help healthcare providers, built environment experts, and policy makers respectively: (1) Advocate the benefits of MXR for innovating health and social care; (2) Spark debate across networks of expertise to create health-promoting environment; and (3) Understand the overriding priorities in making effective pathways to the implementation of MXR. Methods To highlight the novelty of this research, the study relies on two qualitative methodologies: exploratory literature review and semi-structured interviews. Based on the evaluation of prior works and cross-national case studies, hypotheses are formulated from three arenas: (1) Cross-sectional Initiatives for Post-pandemic Resilience; (2) Interoperability and Usability of Next-gen Medicines; and (3) Metaverse and New Forms of Value in Future Healthcare Ecosystems. To verify those hypotheses, empirical findings are derived from in-depth interviews with nine key informants. Results The main findings are summarized under the following three themes: (1) Synergism between Architecture and Technology; (2) Patient Empowerment and Staff Support; and (3) Scalable Health and Wellbeing in Non-hospital and Therapeutic Settings. Firstly, both built environment and healthcare sectors can benefit from the various capabilities of MXR through cross-sectional initiatives, evidence-based practices, and participatory approaches. Secondly, a confluence of knowledge and methods of HCI and HBI can increase the interoperability and usability of MXR for the patient-centered and value-based healthcare models. Thirdly, the MXR-enabled technological regime will largely affect the new forms of value in healthcare premises by fostering more decentralized, preventive, and therapeutic characteristics in the future healthcare ecosystems. Conclusion Whether it's virtual or physical, our healthcare systems have placed great emphasis on the rigor of evidence-based approach linking health outcome to a clinical environment. Henceforth, built environment experts should seek closer ties with the MXR ecosystems for the co-production of scalable health and wellbeing in non-hospital and therapeutic settings. Ultimately, this is to improve resource efficiency in the healthcare sector while considering the transition of health resources towards in silico status by increasing the implementation of MXR.
I$$^2$$KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding

Spoken language understanding (SLU) typically includes two subtasks: intent detection and slot filling. Currently, it has achieved great success in high-resource languages, but it still remains challenging in low-resource languages due to the scarcity of labeled training data. Hence, there is a growing interest in zero-shot cross-lingual SLU. Despite of the success of existing zero-shot cross-lingual SLU models, most of them neglect to achieve the mutual guidance between intent and slots. To address this issue, we propose an Intra-Inter Knowledge Distillation framework for zero-shot cross-lingual Spoken Language Understanding (I $$^2$$ KD-SLU) to model the mutual guidance. Specifically, we not only apply intra knowledge distillation between intent predictions or slot predictions of the same utterance in different languages, but also apply inter knowledge distillation between intent predictions and slot predictions of the same utterance. Our experimental results demonstrate that our proposed framework significantly improves the performance compared with the strong baselines and achieves the new state-of-the-art performance on the MultiATIS++ dataset, obtaining a significant improvement over the previous best model in overall accuracy.
Single Image Dehazing Network Based on Serial Feature Attention

Images captured under hazy weather conditions often show significant degradation, limiting their applications in military reconnaissance, traffic monitoring, and other fields. To obtain clear and haze free images, the paper proposes a dehazing network based on serial feature attention. The network adaptively captures the inter-dependency between features from channel and spatial perspectives, respectively, learns the weights of features, and uses long and short jump connections to make the network more focused on the important information of haze concentration to improve the network dehazing performance. Extensive experiments are conducted on synthetic and real scene datasets, and the results show that the proposed method recovers haze image with natural colors and high image quality.
ReDualSVG: Refined Scalable Vector Graphics Generation

Vector graphics generation is a critical task in computer vision. However, existing approaches suffer from several limitations, such as lack of extensibility, inadequate consideration of both image and sequence modalities, and the issue of location change. To address these challenges, we present ReDualSVG, a refined scalable vector graphics generation method based on dual-modality information. ReDualSVG overcomes these problems through a hierarchical, transformer-based design that effectively distinguishes high-level shapes from the low-level instructions encoding the shape itself. Our method capitalizes on dual-modality data by fully utilizing the information present in both image and sequence modalities, offering richer insights from global and local perspectives. Additionally, we tackle the issue of location change by employing a differentiable rasterizer for further refinement. Finally, we conducted qualitative and quantitative experiments on a publicly available dataset, which demonstrated that ReDualSVG achieves high-quality synthesis results in the applications of image reconstruction and interpolation, outperforming other alternatives.
PENGARUH TINGKAT LITERASI MEDIA TERHADAP SIKAP SISWA SMK NEGERI 1 BATAM

The development of technology in this era is growing rapidly, so it is required to keep pace with the times. The purpose of this study was to determine the level of media literacy towards the attitude of students of SMK Negeri 1 Batam. This type of research is quantitative descriptive research. This research will be conducted from March to July 2023. The sample size of 338 correspondents was determined by quota sampling and Uses and Gratifications Theory. Data analysis using descriptive statistical analysis. The results of the study obtained a high score in the statement "I understand the news I read" showing that students of SMK Negeri 1 Batam have a high understanding of the absorption of news information in accordance with the goal of having high literacy. While the ability to compare news has the lowest score which shows that students of SMK Negeri 1 Batam are less willing to compare some of the news presented because it is too time-consuming. The culture of familiarizing literacy is expected to be the guard of students in making decisions and becoming more critical in responding to problems.&#x0D; &#x0D; Keywords: Attitudes, Media Literacy, Student
An Analytical Study of Digital Competency Assessment Tools for Higher Education Teachers

The aim of this paper is to compare digital competence assessment tools for teachers in higher education. The study answers four questions:(1) What are the types of digital competency assessment tools for teachers? (2) On which frameworks are these tools designed and how do the frameworks differ? (3) What methods are used to promise the reliability and validity of the tools? (4) How can the data collected by these tools be analysed and used? In this study, the systematic review method was used to conduct a subject search for "digital competence assesement tool", and a literature search was conducted in three databases: Web of science, SpringerLink and Google Scholar. The time frame of the search was set from 1 January 2019 to 1 March 2023, with an initial search result of 1648 articles, for which different search criteria were used, resulting in three articles exploring four tools. These tools take the form of questionnaires with items that are primarily self-assessment statements and closed-ended questions. These assessment tools are used to understand the teachers digital technology and to assess their digital competence. The main proposal of this paper is a typology of digital competence assessment tools.
The cultivation of "5Cs" key competences in college English learning

5Cs Framework for Twenty-first Century Key Competences" includes: cultural competence, critical thinking, creativity, communication, and collaboration. Higher education shoulders the responsibility of helping students to improve their 5 key competences. Because of the humanistic nature, College English course can and should integrate cultivating students’ 5 key competences into one of its objectives through reforming the learning material, changing the teaching methods, improving learning design and evaluation.
PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN ICT BERBASIS VIDEO ANIMASI MELALUI APLIKASI CANVA

Canva is a graphic design application that helps users create all kinds of creative materials online. Canva's design menu includes creating online books or e-modules, presentations, video presentations, posters and more. Canva can be used on laptops via a web browser and mobile phones (iOS and Android) via the Canva application. In this activity, training on making learning media using Canva was carried out for teachers Sd in sindangsari. The teachers at SD Negeri Sindangsari don't know what Canva is and what it can do for them. This activity aims to improve the ability of participants in making learning media using Canva. This activity consists of 3 stages, namely planning, implementation, and evaluation. This activity was attended by 26 SD teachers throughout sindangsari. After the training, all participants were able to make learning media. As result, they are able to develop interesting learning media using Canva in order to increase the motivation of students in learning. this training activityvery useful and add insight participants in making media learning.
PELATIHAN PERAN GURU DALAM AKTVITAS LITERASI MENYENANGKAN MELALUI PERMAINAN DI DESA SINDANGJAYA

The low literacy of children in Sindang Jaya Village is caused by a lack of early recognition, learning assistance from parents and the lack of developing various lesson plans. In addition, the nature of children who like to play compared to learning will be difficult to train children to learn, so children only spend all day playing. Things like that result in low literacy in reading, writing, and arithmetic. Community service is carried out by carrying out fun literacy activities through simple games. This activity aims to increase children's literacy interest through fun activities. This activity is carried out by outreach to related teachers in planning the learning process. The learning process carried out with games will have a positive impact on children to improve literacy habits in reading, writing and arithmetic in everyday life. The results of the community service showed that most of the training participants, who were teachers from SD Negeri 01 and 04 Sindangjaya Village, Bekasi Regency, had understood using the snader game. This can be seen from the teacher's level of success in making and using the snader game and the results of the evaluation of the participants' understanding of the data above after participating in the training.
Effect of Disruptive Behaviour on Speech Delay Autism in Children in Kindergarten in Pahang State

This study examined the current issues and effects related to the disruptive behavior of autistic speech-delayed children during teaching and learning sessions in kindergartens in Pahang state. This study aims to determine the level of understanding of children with speech delay autism in the teaching and learning process, to know the factors that affect children with speech delay and to identify the teachers' challenges in implementing the teaching and learning process. A total of 100 respondents from teachers of various genders, ages, backgrounds, occupations of teachers whether working in the government sector, private or self-employed, income and districts within the State of Pahang have been involved in this study. To identify the disruptive behavior of autistic children while in kindergarten, whether on the children's abilities, communication, emotions, social and behavior. This study has used the questionnaire method in Google form, observation and references that have been used. The research data is analyzed and displayed in quantitative and qualitative form through tables and charts. From the findings of this study, awareness in Asian countries, including Malaysia, autism has improved and increased by 90 percent compared to previous years. However, a few parents and communities still do not believe their children have autism. Hopefully, with this study, teachers, kindergarten staff and kindergarten supervisors in the State of Pahang can manage and overcome children's autism problems during their teaching and learning in a better and more efficient way to avoid worsening the children's condition.
Innovative ICT Education in Early Childhood: Building Young Talents for The Digital World

In the fourth industrial revolution, growth and value creation are thought to happen through innovation, adaptation to change and flexibility. Human capital is a critical factor that drives innovation ecosystem formation. To be part of this future, children must learn early to actively engage in innovative ideas through critical thinking, problem-solving and systems analysis, all of which are in high demand in the labour market in coming years. Online digital education that includes coding can help facilitate experiences for children that allow them to contextualise learning within an innovative environment. Even though Finland is a leading country in the world regarding digital performance and competitiveness, Finnish experts stress the growing need for future skills for working life: knowledge of sustainable development, digitalisation, and continuous learning. Experts stress that digital education starts at a young age. Finland's child-centred early childhood education system is one of the most impactful benefits for society. Playful methods for developing mathematical thinking, verbal and social skills embedded in multidisciplinary creative activities and creating equal preconditions for every child's holistic growth are at the centre of the national curriculum. Removing different physical or psychological barriers to learning leads to better utilising the potential lying in society. Kodarit-method concentrates on the premium educational segment, which includes high-quality teaching skills for teachers, a carefully planned curriculum, and a motivational pedagogical approach. This enables professional growth and provides skills for students, who are the centre of the pedagogical model. All the top organisations, including Kodarit Coding School in Finland, cooperate in developing these areas efficiently by sharing knowledge and examples of best practices and building a tech sector, society, and world where no one is left behind.
Bentuk Emosi Pada Album Lagu “Riuh” Karya Feby Putri Sebagai Individu Dewasa Awal (Kajian Psikologi Sastra)

Early adult individuals are aged 20-40 years who are looking for identity. This age is an age with unstable emotions because of the various life processes they live. One of the emotions in this early adult individual is reflected in the ten songs in the album "Riuh" by Feby Putri which is the object of this study. This study uses the psychological study of literary works by exploring the psychological theory of literary works and conducting an analysis of the literary works that are the object of research. The purpose of this study is to describe the form of emotion in the album song "Riuh" by Feby Putri as an early adult individual (study of literary psychology). This study uses David Krech's emotional theory which consists of basic emotions, emotions related to sensor stimulation, emotions related to self- assessment, and emotions related to other people. This study uses a qualitative descriptive approach with data analysis techniques in the form of data reduction, data presentation, and drawing conclusions
The Role of Fire Detection Equipment To Prevent Fires In MV. Soemantri Brodjonegoro

The role of fire detection tools is very helpful in preventing fire hazards in MV. Soemantri Brodjonegoro, on this basis, the author formulates the problem of the extent of the ship's crew's knowledge of fire detection tools and how to maintain fire detection tools in MV. Soemantri Brodjonegoro. The method used in this study is a qualitative method that produces descriptive data in the form of written words from people and observed behaviors. In this case, collecting data in the form of an approach to the object through observation, direct interviews with the subject. Based on the results of research and discussion of problems carried out by the author during the practice of screening in MV. Soemantri Brodjonegoro regarding the role of fire detection devices found problems in the role of fire detection devices which include the lack of knowledge of ship crews about fire detection tools caused by the lack of implementation of new crew familiarization and the lack of implementation of safety meetings on ships. The discussion of the results of the study is to increase the ship crew's knowledge of fire detection equipment by means of maximum familiarization of the new crew and carry out safety meetings once a month, as well as improve the maintenance of fire detection equipment by means of good coordination between the ship and the company and increasing the responsibility of ship officers by checking fire detection equipment regularly. In this case, it is concluded that the lack of knowledge of the ship's crew and the maintenance of fire detection equipment can cause the malfunction of the tool properly, namely as a tool to detect fire hazards on board so that the fire detection tool can function properly to support shipping.
Analysis Of Declining Air Production Pressurized On The Compressor On Board The MV. Uniorder

Compressor has the most important on the ship, in support the operational of ship. In it is the oprational compressor often experience influence that cause low of the pressure air production of compressor on ship, till the writer is interestid to create it in skirtion with title the low analysis of pressure air production of compressor. This research conducted when writer to execute practice of sea (sea object) for MV.UNIORDER property of company PT. Asia Mulia Transpasifik for 1 year. Data source obtained directly from place of research with observation method as well as biography method in the form of documents, instruction manual book and books related to title of this research. The result of this observation is the slags on the valve and seratchs of the surface valve which cause decrease low of pressure air production of compressor, till causes the main engine could not started. The suggest of writer in this research is clean the compressor every day in order the our that is absorbed not content any carbon and dush. Attending also the maintenance of every valve. Both the suction valve although pressure valve and attention also the running hours from compressor valve.
Pengaruh Media Pembelajaran Film Komedi Berjudul KTP pada Kanal Youtube “BPMTP” Terhadap Keterampilan Menulis Teks Cerpen Siswa Kelas IX MTS Muallimien Darul Ittihad

The purpose of this study was to determine the effect of the comedy film learning media entitled KTP on the short story writing skills of class IX MTs Muallimien Darul Ittihad in Campor Village, Geger District, Bangkalan Regency. This study used a quantitative experimental method with a quasi-experimental design in the form of a nonequivalent control group design. The population used is all class IX students for the 2022/2023 academic year. Sampling used census/saturated sampling, while data was collected using observation, questionnaires, and students' short story writing skills. Analyzed using data analysis techniques, validity, reliability, homogeneity, normality, and hypothesis testing. Based on the data it is known that the value of the T test results for the pretest posttest experimental class using the t test formula obtained a significance value of 0.05, namely 0.004, so the data is stated to have an effect on the application of comedy film learning media to class IX B (experimental class) MTs Muallimien Darul Ittihad.
REPRESENTASI PERUNDUNGAN (BULLIYING) PADA NOVEL DAN HUJAN PUN BERHENTI KARYA FARIDA SUSANTY: PENDEKATAN SOSIOLOGI SASTRA

This research is motivated by the problem of rampant bullying that is currently happening in the community without exception, with the rampant bullying that often occurs among students, seen explicitly by researchers. Therefore, researchers are interested in exploring bullying. Based on the description above, it is necessary to conduct research. The writer is interested in analyzing the representation of bullying in the novel, "And the Rain Stopped by Farida Susanty, through a literary, sociological approach." The researcher categorized into sub-problems to be more focused: (1) What are the forms and impacts of bullying in the novel "And the Rain Stopped by Farida Susanty"? (2) What are the factors or causes of bullying in the novel "And the Rain Stopped by Farida Susanty"?. The research method is descriptive qualitative. The research data are in the form of words, phrases, and sentences that contain representations of bullying in the novel by Farida Susanty, namely what forms of bullying, factors or causes of bullying, and the impact of bullying. The novel contains categories of verbal/verbal bullying and psychological and physical bullying.