Reviewerly/exHarmony huggingface dataset:
Macrotermes falciger termite mounds as indicators of lithogeochemical anomalies of metals of interest

This study investigated the potential lithogeochemical filiation of Macrotermes falciger termite mound materials and the parent substrate materials sampled in both the Sakania and Tshisenda areas of the Haut-Katanga Province of the Democratic Republic of Congo. These geological areas with predominantly autochthonous cover are characterized by lateritic type profiles. Mineralogical characterization of Macrotermes falciger termite mound materials by infrared on 20–63 μm fractions indicated the presence of secondary minerals specific to tropical weathering. Further mineralogical analysis of 0–20 μm fractions using XRD also identified such primary and secondary minerals in these materials. A multi-element chemical analysis was performed on the <125 μm fractions of the different lithological substrates (granitic rock, feldspathic sandstone, and lateritic duricrust) as well as of the Macrotermes falciger termite mounds. Using log Fe2O3t/K2O vs logSiO2/Al2O3 ratios, all the samples were geochemically classified and lithogeochemical relationships were established. We showed that the yellow, grey and beige termite mounds were characterized by lithogeochemical facies of quartz-rich and slightly altered substrates (granite, arkose…) whereas the red termite mounds had lithogeochemical facies of clay formations associated with iron oxyhydroxides with less quartz. The accumulation of oxyhydroxides (Al, Fe, Mn) and the enrichment of low-mobility trace elements (Zr and Hf) in some mound materials allowed us to identify the Macrotermes falciger material supply zone between the accumulation horizon marked by chemical precipitation phenomena and the horizon of progressive transition to altered bedrock. Carrier phases of metals of interest, such as Cu, Co, Ni, Pb and Zn, were identified through scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDX) on constitutive particles of Macrotermes falciger termite mounds. These 5 metals of interest were sorted into <63 μm, 20–63 μm and 0–20 μm fractions, then chemically analyzed to reveal their accumulation in the 0–20 μm fractions. These results, provide clear evidence that Macrotermes falciger termite mound materials are ideal for providing information on lithogeochemical anomalies in geochemical prospection.
Hybrid Learning Predictions on Learning Quality Using Multiple Linear Regression

Indonesia declares COVID-19 Pandemic by the World Health Organization (WHO) from March 2020.This has a very impact, one of which is on the continuity of the world of education.This research aims to foretell the impact of hybrid teaching methods used at SMK Cendikia Cirebon City during the COVID-19 period on student achievement.Teachers' materials, honesty, enthusiasm, and IT backing are all factors in determining the quality of education.Multiple linear regression with root-mean-squared error as the dependent variable is used in this study (RMSE).Experiments conducted on 122 participants yielded an RMSE of 0.375 and a correlation level of 0.440 for each attribute, with test samples comprising 10% and training samples comprising 90%.As a result, the use of this multiple linear regression model can be suggested for foreseeing the introduction of a hybrid learning model to enhance educational quality.
The Mediating Role of Teacher Efficacy and Job Satisfaction in the Relationship between Teacher Identity and Organizational Effectiveness

본 연구의 목적은 교사정체성이 학교조직효과성에 미치는 영향에 대한 교사효능감과 직무만족의 매개적 역할을 탐색하는 것이었다. 이를 위해 본 연구는 대전, 대구, 경북, 경남, 울산 지역의 초․중등학교 교사 532명을 대상으로 설문조사를 실시하였고, SPSS Process macro 버전 4.0(모델 4)을 통해 교사정체성과 학교조직효과성의 관계와 이들 관계에 대한 교사효능감과 직무만족의 매개효과 및 유의성 검증을 실시하였다. 연구결과, 교사정체성은 학교조직효과성에 대해 정적으로 영향을 미쳤고, 교사효능감과 직무만족은 두 변수 관계를 유의하게 매개하는 것으로 나타났다. 본 연구의 결과는 교사들이 교수학습이나 생활지도 등 전문적 수행 과정에서 분명한 정체성을 형성 유지함으로 높은 수준의 교직에 대한 성공 기대와 자신감을 가지고 직무를 수행할 때 교직에 대한 만족도가 향상되고 학교조직효과성도 제고될 수 있음을 시사한다. 본 연구는 교사정체성 관련 변수 간 구조적 관계에 대한 실증적 증거를 제공하였다는 이론적 기여와 함께 학교조직효과성 제고를 위해서는 교사효능감과 직무만족과 연계된 교사정체성 형성과 유지를 위한 교직 실행과 정책 마련이 필요하다는 실천적 기여를 했다는 점에서 그 의의가 있다.The purpose of this study was to explore the influence of teacher identity on school organizational effectiveness and whether teacher efficacy and job satisfaction play a mediating role in the relationship. To this end, this study conducted a survey including teacher identity, teacher efficacy, job satisfaction, and school organizational effectiveness targeting 532 elementary and secondary school teachers in Daejeon, Daegu, Gyeongbuk, Gyeongnam, and Ulsan. Through SPSS Process macro (model 4), the relationship between teacher identity and school organization effectiveness, mediating effect of teacher efficacy and job satisfaction on these relationships, and significance were verified. As a result of the study, teacher identity had a positive effect on school organizational effectiveness, and teacher efficacy and job satisfaction mediated the relationship between the two variables significantly. The results of this study show that if teachers have a clear identity when performing professional activities such as teaching and learning or guidance, teachers will perform their professional duties with high-level expectations of success and confidence in the teaching profession, which leads to satisfaction with the teaching profession and school organizational effectiveness. In this regard, the implication of this study is to provide empirical evidence on the structural relationship between related variables as well as the effect of teacher identity on related variables. In addition, this study is meaningful in that it explored the need for teaching practice strategies and programs for the formation and maintenance of teacher identity linked to teacher efficacy and job satisfaction in order to improve school organizational effectiveness.
Local Problem Solving Living Lab Resident Participation Experience Qualitative case study

본 연구는 완주군 지역문제해결을 위한 리빙랩 지원사업에 참여한 주민들이 어떤 경험을 하였는지 살펴보고, 그 경험의 본질을 심층적으로 이해하는데 있다. 연구방법은 질적 사례연구로 연구대상자는 리빙랩을 수행한 지역주민 중 참여 의사를 밝힌 9명을 대상으로 심층 면담을 하였다. 연구결과는 Amedeo Giorgi의 현상학적 분석 방법을 활용하여 9명의 연구참여자의 인터뷰 내용을 의미단위, 범주, 주제 순으로 범주화하여 정리한 결과 경험에서 드러나는 95개의 단어를 찾았고, 이에 따른 의미단어를 정리하여 하위요소인 22개로 표현하였다. 마지막으로 하위요소들을 같은 의미끼리 묶어서 14개의 주제로 분류, 그 주제를 다시 범주화하여 6개의 주제를 끌어낼 수 있었다. 이를 통해 6개의 본질적 주제와 14개의 드러난 주제가 도출되었다. 6개의 본질적 주제는 ‘개선을 위한 용기있는 선택’, ‘생소한 리빙랩 극복하기’, ‘교육을 통해 바로 알게 된 리빙랩’, ‘좌충우돌 리빙랩 활동 현장’, ‘실패을 통해 얻은 교훈’, ‘도전을 통한 배움의 의미실현’으로 나타났다. 본 연구는 지역문제를 해결하기 위해 자발적으로 참여한 지역주민들이 생활실험인 리빙랩을 수행한 경험을 이해함으로써 현장에서 지역주민들의 상향식(bottom-up)방식 참여가 주는 의미가 리빙랩 운영의 기초자료로 활용될 수 있을 것이다.This study examines the experiences of the residents who participated in the Living Lab support project to solve local problems in Wanju-gun, and understands the essence of the experience in depth. The research method was a qualitative case study, and in-depth interviews were conducted with 9 people who expressed their intention to participate among the local residents who performed the living lab. The research results were analyzed through Amedeo Giorgi's phenomenological method. Through this, 6 essential themes and 14 revealed themes were derived. The six essential themes are 'Courageful Choice for Improvement', 'Overcoming Unfamiliar Living Lab', 'Living Lab that I learned properly through education', 'Learnings from Living Lab', 'Learnings from Experiment', 'Learning Lab' Meaning realization through challenge.” This study understands the experiences of local residents who voluntarily participated in solving local problems in the Living Lab method, which is a life experiment. It can be used as basic data.
Usaha Kita Groups Economic Activities as a Learning Resources on Social Studies

The lack of income for family members will affect survival. Through the economic activities of the fish cracker business group, there are aspects, such as production and distribution. Economic activities provide a place for teachers to develop the material, adding examples in the environment around where they live as social studies learning resources. This study aims to determine how the fish cracker business group conducts economic activities. This research uses a qualitative approach with descriptive methods. Data was obtained through observation, interviews, and documentation. Test the validity of the data through source, technique, and time triangulation. Data is presented in the form of descriptions and pictures. The research results are production activities, distribution, and consumption by the Usaha Kita group in Banua Anyar village. Production is carried out by several business group members, namely by processing haruan/snake fish into crackers. Distribution is done directly by selling online via WhatsApp and indirectly through intermediaries distributed to restaurants. Consumption is done directly in the restaurant. Economic activities carried out by business groups, such as distribution, production, and consumption, can be used as contextual social studies learning resource on economic activity material so that it aims for students to understand the surrounding environment and can be used as a learning resource. The existence of these activities can make it easier for teachers to provide examples and link them to learning resources on social studies.
Dual-aware transformer network for single-image super-resolution

The advent of deep learning has enabled image super-resolution (SR) technology to achieve tremendous success. The recent exploration between convolutional neural network (CNN) and transformer has produced an impressive performance. However, the huge model size and heavy computational cost occupied by most approaches cannot be ignored. Additionally, the global and local modeling of image features is not well utilized and explored, which is important for texture content reconstruction. In this study, we present an efficient and lightweight network based on CNN and transformer for image SR, dubbed dual-aware transformer network (DATN). Specifically, a dual-aware fusion module (DAFM), consisting of spatial-aware adaptive block (SAAB) and global-aware fusion block (GAFB), learns local and global features in a complementary manner for yielding abundant content details. SAAB delivers the captured spatial information to GAFB in parallel, whereas GAFB establishes long-range spatial dependencies among diverse features to boost the network’s ability for recovering texture details. Further, in the upsampling stage, our proposed transformer-empowered upsampling module aggregates global information from the transformer module to generate location-wise reassembly kernels for content-aware upsampling. In such way, feature-rich information is highlighted adaptively to reconstruct high-quality images with maximum efficiency. Experimental results reveal that our proposed DATN achieves high qualitative performance while maintaining low computational demands, surpassing most state-of-the-art SR networks.
A Study on Public Assistance Legislation in Taiwan

The purpose of this study is to redefine the significance of social security rights under the constitution, stipulate them at the time of constitutional amendment, and strengthen them as a welfare state. To this end, the significance of social security rights under the Constitution is specified, the basic law on social security rights embodied under the Constitution is reviewed, and social security is classified into five categories: social insurance, public assistance, and social services. Korea is a constitutional welfare state, so it is the subject of the state's obligation to provide social security, and the people have the right to social security as a basic right to demand it from the state, but it is not stipulated by the current constitution. It is not currently stipulated in the Constitution, but the constitutional social security right is stipulated by the current law in the Framework Act on Social Security, and one of these social security, public assistance, is emerging as a problem in Korean society, and it is a meaningful discussion to look at Taiwan's public assistance and its implications.
Development of Lesson plans for Infant Development Subjects Applying the Havruta Teaching Method

The purpose of this study is to reconstruct the subject to which the Havruta teaching method is applied based on the ‘2020 Standard Curriculum Outline’ for the ‘Infant Development’ subject, which is one of the essential subjects of the childcare teacher training process, and to develop lesson plans. According to the purpose of the study, related preceding studies and the outline of the standard curriculum for the 2020 childcare teacher training course were reviewed, and the final lesson plans were finalized through two expert interviews (focus group interviews). Based on the research results, the conclusions for each research question are presented as follows. First, the process of reconstructing infant development subjects to which the Havruta teaching method was applied was carried out in four stages, including analysis of relevant literature and previous research and preparation of drafts, interviews with primary experts, revision and supplementation of lesson plans for each class, and interviews with secondary experts. The final class plans were composed. Second, the teaching plan of the infant development subject to which the Havruta teaching method was applied reflected the purpose and goal derived from the two interviews with the experts participating in the research, teaching and learning and evaluation, and considerations and other opinions when applying, and included the following contents. Classes for each class are organized for the purpose of enhancing learning opportunities through self-directed learning on theories, concepts, and research methods and cultivating a positive attitude toward learning through interaction with partners. evaluation method was applied. In addition, for each class, activities were guided through the provided activity sheets, and pre-activity and interaction using SNS were actively encouraged to expand the time and space of classes.
Prioritization on Information Sharing in Digital Platform for Linking Online Retail and Logistics Systems using AHP

As the digital transformation and COVID-19 pandemic in retail and logistics industry, the development of digital platform based e-Commerce makes the demand of logistics dramatically increased. Most of sellers take part in the online shopping mall or digital platform has very small volume and they do not have enough budget to invest on building their own information systems. Thus, it is general to use the standard systems which are presented by the platform. Especially, there are various stakeholders such as sellers, suppliers and logistics service providers in the online retail and logistics platform. But, The standard data fields and forms are designed without considering the different requirements, characteristics, and practical applicability in business of different stakeholders. It may cause the unnecessary cost to transmit the non-value added data, make useless data accummulated, and the required data missed. In this research, the stakeholders who take part in the digital platform are categorized as sellers, suppliers and logistics service providers. The data fields which stakeholders can provide and need to share for enhancing the operations are defined. Also, using AHP, the relative importance of each data fields in the different point of view considering each stakeholders’ requirements. According to the result of evaluation, it was concluded that different stakeholder has different priority to create and share data through the digital platform. With the result of this research, it may be possible to design the differentiated data architecture and enhance the efficiency of operations.
“Variation” vs “individuality”: Redefinition in handwriting examination

The present article attempts to discuss the practical problems which have appeared in several recent cases, leading to converse conclusions and affecting the court trial as well as the rights and interests of the parties. The reinterpretation of “individuality” and “variation” can allow document examiners to use and interpret all the theoretical bases and methods of analysis, comparison, and judgment without any hesitation or uncertainty. It can also highlight the “basic theory” which must be applied differently depending on individual cases and in order to avoid analysis errors when non-professional document examiners reevaluate the same case.
Is a forged signature an “apple” or a “fruit salad”?

This article is penned as a result of the continuous significant findings in my daily forensic handwriting examination practice and experience.&#x0D; The methodology and process followed in any forensic handwriting examination are central to its interpretation and reliability – the repeatability and reproducibility of the same tests giving the same results; its validity concerning the appropriateness of the chosen methodology and process; and the resulting accuracy or discriminative reliability of the expert opinion in reflecting the true state of the evidence.&#x0D; In this regard, the present article poses the question firstly as to whether a forged signature is fundamentally a signature or handwriting? Once the implication of that question is understood and answered, the ensuing one is: in the interests of reliability, validity, accuracy, and best practice, what categories of comparison samples of the forger’s writing should be used as evidence to analyse, compare, and evaluate a questioned signature, the forger’s signatures, initials, or handwriting?&#x0D; In short: in the pursuit of identifying authorship of any forged writing, and specifically a forged signature, whether disguised, free-hand simulated, traced, or even spuriously created, should the so-called apple be compared to apples (which would imply comparison to the signatures of the forger in the case of a forged signature), or is the forged signature a fruit salad that should be compared to the full potentiality and reper-toire of the entire writing skill range and master pattern of the suspected forger?
A Participatory Content Authoring Workflow for Augmented Reality at Industrial Maintenance

The adoption of augmented reality-based instructions enhances maintenance operations by shortening job completion time and reducing errors. However, scaling augmented reality in industrial settings remains costly since content authoring demands computational skills such as 3D modeling and programming. Furthermore, processes can easily become obsolete, causing maintainers to abandon written instructions. So, we propose an augmented reality-based participatory content authoring workflow for maintenance tasks. We followed the Design Science Research paradigm, which included a literature review, the conception of a workflow, and a simulation to evaluate the proposed workflow’s validity. We found that current workflows overlook participatory content authoring involving maintainers and that most research focuses on describing the technical architecture of proposed systems rather than a workflow that supports the use of technology in industrial settings. Regarding our proposed participatory workflow, most respondents stated it was simple to use, improved their capacity to develop augmented reality content and would help the industry adopt augmented reality. As a result, our participatory authoring workflow can optimize augmented reality content authoring during maintenance, encouraging the maintainers’ interaction, and provide opportunities for procedure improvement. We conclude that non-programmer-friendly augmented reality software tools save content production time while enhancing users’ perceptions of their own technological talents.
Effectiveness of Frontloading Strategies to Improve Students’ Reading Comprehension based on Gender

This research belongs to quantitative research and aims to find the effectiveness of the frontloading strategy to improve students’ reading comprehension based on gender. The instrument given to the students was reading comprehension in the context of a narrative text. The research subject consisted of 25 students. This research only used experimental class for this research. As a result of this research, there was a significant improvement between pre-test and post-test scores. The result obtained from the sample T-test was found that the p-value (0,000) was lower than 0.05, and the t-observed (4,337) was higher than the t-table (2.059). While the result of differences in scores between females and a male based on post-test, the p-value (.240) was higher than 0.05, there were no significant differences in reading comprehension scores between females and males. So, this strategy makes students interested in teaching and learning reading comprehension. This technique also helps students to understand about material easily.
Innovation and QoS Performance Evaluation Analysis of Real-Time Sharing Platform of Intelligent Courses in Colleges

With the gradual rise of online MOOC teaching platforms, real-time sharing algorithms and QoS performance evaluation systems for online intelligent courses in colleges and universities are becoming more and more important. First of all, introduce the intelligent cloud teaching method with cloud classroom app tools as the core application, and use the smart campus platform to "fancy teaching" classrooms, MOOCs, live broadcasts and other popular forms such as animations, micro-videos, WeChat and other popular forms and language communication management. Knowledge and principles, followed by autonomous and intelligent methods used in implementing QoS decision-making and control in a cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization rate of network resources and ensure the end-to-end QoS of the network. The results show that: NET, XML and other key technologies, on this basis, the intelligent teaching platform solution of NET, the framework and overall design of the teaching platform are introduced.
Depth hole filling and optimizing method based on binocular parallax image

Abstract Environment perception is one of the most vital function for autonomous robots while performing complex tasks in dynamic environment. In binocular stereo vision algorithm, the calculation of disparity image depends on matching algorithm, and the unmatched points form depth holes in the image. When encountering obstacles with less texture, such as blank walls, large area deep holes will often appear. Although the existing filtering algorithm can solve the problem of small area deep hole, it cannot be applied to large area deep hole. To solve this problem, a depth hole optimization algorithm is proposed, which detects large area depth holes from the image globally, fills the depth holes according to the disparity value distribution, and optimizes the weighted least squares filtering effect. The experimental results show that the average time of the algorithm is only 15 ms.