Reviewerly/exHarmony huggingface dataset:
Explanation and analysis of the solutions of increase public participation in organization and renovation the exhausted texture by social capital approach (Case study: Sanandaj city)

In order to attract public participation and reinforce social capital in urban plans, we need to create a participatory planning system. In other words, it is only in the case of public participation that plans and actions will be planned based on the real needs of the people; and because the people themselves design them, they will be sustainable. Achieving this will require the assessment of social capital strategies of public participation in the renovation of exhausted texture. The exhausted texture of the Sanandaj city in the central part of the city, by containing several historical elements and the presence of the main orders of activity and market within itself as the heart of the city, is the focus of the programs of organization and renovation of the exhausted texture.The main purpose of this research is to analyze the strategies of public participation in the renovation of the exhausted texture with the approach of social capital. The method of this descriptive-analytic study is qualitative based on the type of data and variables.The statistical population consisted of 385citizens and residents randomly.The gathered data were collected by SPSS software using questionnaires.Then, one-sample T-test and Pearson correlation test were used to analyze the research questions and hypotheses.Therefore, in studying the research hypotheses, we can conclude that the participatory and functionalist model according to social participation, social cohesion, residents' tendency to participate, the investor groups’ tendency to participate, the tendency to continue residing, persistence amount, is important. Moreover, justifies functionalism and public participation criteria.
The Noise Component:N(at)

<bold>Chapter 3</bold> develops the methods or strategies for building <italic>ARIMA</italic> noise models. At one level, the iterative identify-estimate-diagnose modeling strategy proposed by Box and Jenkins has changed little. At another level, the collective experience of time series experimenters leads to several modifications of the strategy. For the most part, these changes are aimed at solving practical problems. Compared to the 1970s, for example, modelers today pay more attention to transformations and to the usefulness and interpretability of an <italic>ARIMA</italic> model. The Box-Jenkins <italic>ARIMA</italic> noise modeling strategy is illustrated with detailed analyses of twelve time series. The example analyses include non-Normal time series, stationary white noise, autoregressive and moving average time series, nonstationary time series, and seasonal time series. The time series models build in <bold>Chapter 3</bold> are re-introduced in later chapters.
ItNet: iterative neural networks for fast and efficient anytime prediction

Deep neural networks have usually to be compressed and accelerated for their usage in low-power, e.g. mobile, devices. Common requirements are high accuracy, high throughput, low latency, and a small memory footprint. A good trade-off between accuracy and latency has been shown by networks comprising multiple intermediate outputs. In this study, we introduce a multi-output network that has a tiny memory footprint in terms of its computational graph, which allows its execution on novel, massively-parallel hardware accelerators designed for extremely high throughput. To this end, the graph is designed to contain loops by iteratively executing a single network building block. These so-called iterative neural networks enable stateof-the-art results for semantic segmentation on the CamVid and Cityscapes datasets that are especially demanding in terms of computational resources. In ablation studies, the improvement of network training by intermediate network outputs as well as the trade-off between weight sharing over iterations and the network size are investigated.
Geometallurgical domains in a gold deposit: example from the Whale Tail deposit, Amaruq project, Nunavut

The current mining paradigm forces mining companies to exploit more and more refractory ores with complex mineralogy. As a general rule, the distribution of gold in a deposit is defined by geologists (exploration phase) while metallurgists focus on physical and chemical characteristics of the rocks to optimize gold recovery (pre-feasibility phase). However, an early understanding of gold recovery parameters and of potential environmental impacts could provide a competitive advantage to a mining company. This can be achieved by early-stage geometallurgy investigations, which integrate several disciplines of the geosciences to relate mineral recovery and environmental impacts to the mineralogical constraints. Ore processing can be optimized by the use of geometallurgical domains, which are zones with homogeneous mineralogical assemblages associated with specific metallurgical and/or environmental characteristics. This master project aims at developing a methodto help create geometallurgical domains using data from the exploration phase of the project, using Agnico Eagle Mines Whale Tail deposit in Nunavut as a case study. The Whale Tail deposit is in the Kivalliq region of Nunavut and belongs to the neo-Archean rocks of the Woodburn Lake group within the Rae Domain in the Churchill province. At Amaruq, mineralized zones are hosted in a volcano-sedimentary sequence made of mafic to ultramafic volcanics, greywackes, cherts and iron formations. Gold is predominantly associated with iron and arsenic sulphides. The ore mineral assemblages and contrasted host rocks are responsible for some metallurgical and environmental challenges. The main objectives of the project are to: 1) complete a petrographic and metallographic characterization of the Whale Tail deposit; and 2) to correlate exploration data with metallurgical and environmental data. The results demonstrate the potential of geometallurgy to improve the feasibility of a mining project and to limit its environmental impact.
Transfer processes in the chalk critical zone &#8211; Multidisciplinary study of the undergound quarry of Saint Martin le Noeud

&amp;lt;p&amp;gt;The Chalk aquifer is a crucial, vital resource for water supply in France, Belgium and England. However, since several decades, this resource is threatened by high anthropogenic pressures: inducing a degradation of the groundwater&amp;amp;#8217;s quality.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The aim of our multidisciplinary study is to understand the transfer processes of the water and associated elements - solutes and contaminants (nitrate, pesticides) - throughout the critical zone (CZ) of chalk from the topsoil to the water table.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This study is focused on the underground quarry of Saint Martin le Noeud which is located in the Upper Cretaceous chalk layer of the Paris Basin. A layer of clay-with-flints covers the chalk of the quarry with a variable thickness. At a depth from 16 to 30m, the quarry is about 1200 m long and 150 m wide, giving a direct access to different groundwater compartments: (1) the Chalk water table through a series of 16 underground lakes, and (2) the vadose zone thanks to infiltration water percolating at the ceiling of the quarry. The set-up of this site allows to study the behaviors of both compartments.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Surface geophysical measurements: electrical resistivity tomography&amp;amp;#160; and electromagnetic induction&amp;amp;#160; mapping, have allowed to describe precisely the structure of the critical zone: in particular the geometry of the clay layer which has a variable thickness from 0 to about 5m.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The hydrodynamic and the quality of the groundwaters of both compartments (vadose zone and Chalk water table) have been characterized in time and space: (1) time series of flow percolation, water level, electrical conductivity and temperature, (2) geochemical analyses (major elements, nitrate, pesticides). The hydrodynamic and geochemical properties of the groundwaters vary spatially along the quarry highlighting different transfer processes.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Time series analysis and geochemical data allow to estimate the transfer velocities of the water and the contaminants and to precise the biogeochemical reactions (degradation, adsorption/desorption, storage &amp;amp;#8230;) that occurs in the CZ. These processes vary spatially depending on the properties of the CZ. The precise description of the clay layer compared to the groundwater behaviors allows to better characterize the infiltration processes. (1) a thin layer of clay induces a &amp;amp;#8220;diffuse infiltration&amp;amp;#8221;, low velocities, and low degradation of the pesticides in the subsurface, (2) a thick layer of clay induces a perched groundwater in the near-surface, degradation processes, concentrated infiltration and higher velocities.&amp;lt;/p&amp;gt;
HypFDI: Fault Domain Isolation for Hosted Hypervisor in ARM

Hosted hypervisor which takes advantage of a vast amount of mature and stable abilities inside Linux Kernel has been widely adopted to manage virtual machines (VM) in cloud system. Due to rich virtualization capabilities, hosted hypervisor already has large code base (e.g. 33.6K SLOC for KVM) and frequently interacts with VMs. However, commodity hosted hypervisor and kernel in a single address space, which implies that a vulnerability in the hypervisor opens a way to jeopardize the host OS and further may take over VMs running in the same server. So current clouds have a a fragile adversary model with serious security issues. To improve that, previous approaches either suffer from suboptimal performance or required hardware support. In this paper, we present a system that aims to isolate, `deprivilege' and constrain the hosted hypervisor inside kernel. By enforcing function access control on hypervisor, disabling writes to virtual memory control registers from hypervisor and developing a trusted switch gate, our system not only reduces the attack surface between hypervisor and the host kernel but also shield the host kernel. We have implemented our prototype on the open source KVM hypervisor. The evaluation suggests that our system achieves protection against attacks from malicious guest with moderate performance overheads.
Peningkatan Prestasi Belajar Akuntansi Dasar Melalui Penerapan Metode Discovery Learning (Dl) Siswa Kelas X Akuntansi Di SMK Gajah Mungkur 1 Wuryantoro 2020/2021

This study aims to describe the application of the Discovery Learning (DL) method to improve student’s achievement in X Accounting class at SMK Gajah Mungkur 1 Wuryantoro 2020/2021. This type of research is a classroom action research. This type of research is a classroom action research with a two-cycle research design consisting of planning, implementation, observation, analysis and reflection. Data collection techniques used were observation, testing and documentation. Data analysis technique is descriptive quantitative by using percentage. The research results show that discovery learning method can improve students' basic accounting learning achievement in basic accounting subjects, as evidenced by the average value of basic accounting learning achievement before action is 45.43 with the minimum score achievement percentage of 17.40 %, after taking action in the first cycle the average value increased by 29.98 to 75.21 with the percentage of minimum score achievement of 73.91%. In the second cycle the students's average score increased to 87.82 with a percentage or an increase from the first cycle of 12.41.
Solar irradiance availability based on bratislava measurements

Climate changes can be observed in last decades evidently. Generally, temperature and sunshine are rising also in countries located in higher geographical latitudes. These facts have impact on the design building constructions and indoor environment. Sun with its direct radiation is basic source of energy on the Earth and has important influence on visual task performance and application of shading devices in building apertures to avoid overheating and glare phenomena. The precise measurements of global, direct and diffuse irradiances are carried out in Bratislava at the Institute of Construction and Architecture Slovak Academy of Sciences with cooperation of Solargis Ltd. Bratislava. These data, after quality control processing, are the basis of the irradiance availability research. Applied methods for data evaluation and determination of for solar irradiance availability are based on the statistical procedures. Paper presents results of experimental solar irradiance measurements provided in Bratislava, determination of direct solar irradiance availability and discusses importance of solar irradiance availability in point of view of the building environmental quality and building design.
FORMATION OF RESEARCH SKILLS AS A CONDITION FOR THE DEVELOPMENT OF PROFESSIONAL THINKING OF A MUSICIAN

The article reveals the actual problemof improving the development ofpersonality in the process of obtaininga higher musical education. The studyshowed the process of studying thephenomena and processes of thedevelopment of musical art, Futuremusicians often found it difficult toformulate the aim of musicaltheoreticalresearch, determine themeans of achieving it, connect themwith the performance of creative tasks,solve problems, draw conclusionsabout the achievement of the results ofthis research, self-assess it. Inconnection with the above, an actualneed arose for the formation ofresearch skills among students,ensuring the development ofindependent, critical and creativethinking of a musician, aimed atmastering the professionalreasonableness of a person.Achievement of the set aim was basedon the creation of a complex criterionvaluesystem for assessing the levelsof formation of a musician'sprofessional thinking in the course ofhis research of self-critical activity.Indicators of the development of thisthinking as its values-aims weregeneralized to choose the aim ofmusical-theoretical research, to find orcreatively create the tactics of relationsof the integral process of musicaltheoreticalresearch, to elaborate astrategy of relations in the process ofthis research, to evaluate, selfevaluatethe relevance, reliability,power of the strategies and tactics ofrelations of professional interactionwith the subjects of musical theoreticalresearch. In addition, the criteria forresearch skills were the values-meansof the development of the professionalthinking of a musician. The musicalthinking of students, being the aim ofthe development of their researchskills, itself acted as a value-mean formastering the professionalreasonableness of a person in thecourse of self-critical activity. Thus, ahierarchical system of values-aims andvalues-means was created for theformation of the professional thinkingof future musicians on the basis of thedevelopment of their research skills.In the course of the experimental work,general and particular patterns of theformation of research skills in futuremusicians, aimed at developing theirprofessional thinking, were derived.
IMPROVING SPEAKING ABILITY IN CHILDREN AGE 4-5 THROUGH THE APPLICATION OF STORING METHODS IN GROUP A EARLY CHILDREN EDUCATION (PAUD) CENDRAWASI IN MOROTAI SOUTH WEST DISTRICTS

In the Regulation of the Minister of National Education No. 58 concerning the Early Childhood Learning Curriculum aims to improve the quality and quantity of early childhood in all aspects of its development. Education in early childhood is a bridge between the family, community and school environment or formal education provides opportunities to develop children's personalities, the importance of early childhood education so that education provided to children can develop all aspects of development, one of which is in the field of language development, language development (according to Tadkiroatum). Musfiroh (2005: 8), language skills depend on the maturity of the cortex cells, environmental support, and environmental education. Storytelling is a basic ability that should be given to early childhood, the method used in this research is classroom action research (CAR) according to Suharsimi Arikunto, (2006: 3) CAR is an examination of learning activities in the form of an action that occurs in class together, the learning outcomes using the storytelling method to improve speaking skills in the cycle II of action I, the results of group learning evaluation 75% are developing (D), and 62.50 begin to develop (BD), and on individual learning outcomes 75% are developing ( D), 62.50% began to develop (BD) then experienced a significant increase in the cycle II action to cycle II, namely the results of the evaluation of individual learning reached 87% were developing, and 12.50% had not developed (ND), while the evaluation of group learning had increased reaching 98.77% categorized as complete and 87.50% being categorized as complete.
Training Doc2Vec on a Corpus of Persian Poems to Answer Thematic Similarity Multiple-Choice Questions

This paper reports our improvement over the previous benchmark of the task of answering poetic verses' thematic similarity multiple-choice questions (MCQs). These questions, which frequently appear in the Iranian national university entrance exam, require the test-taker to select the verse which is thematically similar to the stem verse. These questions would test a natural language processing (NLP) model's ability to not only understand, but interpret a poetic verse. In this experiment, we trained a Doc2Vec model on a corpus of Persian poems and proceeded to use the trained model to get the vector representations of the poetic verses. Subsequently, the poetic verse among the options with the highest cosine similarity to the stem verse was selected as the correct answer by the model. This model managed to answer %38 of the questions correctly, which was an improvement of %6 over the previous benchmark. Furthermore, it was observed that the model's approach to answering the questions seemed different from the previous model, as there were relatively few questions that the models had both answered correctly. The ultimate goal of this task is to estimate the difficulty of such questions by using the performance of the models as a feature. The fact that the two models did not behave similarly can prove useful, as the model whose performance has the most correlation with that of a human test-taker can be used for the future task of thematic similarity MCQ difficulty estimation.
Uso y apropiación escolar de tecnologías emergentes dentro del marco de educación virtual generada por el COVID-19

Introduction: to identify the adoption and use of emerging technologies, within the framework of online education amid COVID-19 in Colombia, a closed-ended items survey was applied to a sample of five hundred students enrolled at the General Santander educational institute in the municipality of Soacha, Cundinamarca, Colombia. Objective: to analyze eleven questions included in the survey related with teacher-student communication channels to hold virtual classes. Methodology: we worked on two research hypotheses. The SPSS v 25.0 statistical package and the Kruskal –Wallis Hypothesis Test were used for data processing. Results: the significance level was 0.014, which is less than α= 0.05, therefore, the hypothesis (Ho) was accepted, which means the diverse ICT-based teacher-student communication channels are different in the secondary school levels of the General Santander educational institute. Conclusion: according to the Kruskal-Wallis test assess for significant differences, it was determined that the various channels of ICT-based communication between students and teachers are different in the secondary school levels of the General Santander educational institute, because the higher the secondary school level the older the students, hence, these students have the required experience and knowledge to use the technological tools.
Structure Controllable Text Generation

Controlling the presented forms (or structures) of generated text are as important as controlling the generated contents during neural text generation. It helps to reduce the uncertainty and improve the interpretability of generated text. However, the structures and contents are entangled together and realized simultaneously during text generation, which is challenging for the structure controlling. In this paper, we propose an efficient, straightforward generation framework to control the structure of generated text. A structure-aware transformer (SAT) is proposed to explicitly incorporate multiple types of multi-granularity structure information to guide the text generation with corresponding structure. The structure information is extracted from given sequence template by auxiliary model, and the type of structure for the given template can be learned, represented and imitated. Extensive experiments have been conducted on both Chinese lyrics corpus and English Penn Treebank dataset. Both automatic evaluation metrics and human judgement demonstrate the superior capability of our model in controlling the structure of generated text, and the quality ( like Fluency and Meaningfulness) of the generated text is even better than the state-of-the-arts model.
Semantic Inference Network for Few-shot Streaming Label Learning

Streaming label learning aims to model newly emerged labels for multi-label classification systems, which requires plenty of new label data for training. However, in changing environments, only a small amount of new label data can practically be collected. In this work, we formulate and study few-shot streaming label learning (FSLL), which models emerging new labels with only a few annotated examples by utilizing the knowledge learned from past labels. We propose a meta-learning framework, Semantic Inference Network (SIN), which can learn and infer the semantic correlation between new labels and past labels to adapt FSLL tasks from a few examples effectively. SIN leverages label semantic representation to regularize the output space and acquires label-wise meta-knowledge based on the gradient-based meta-learning. Moreover, SIN incorporates a novel label decision module with a meta-threshold loss to find the optimal confidence thresholds for each new label. Theoretically, we demonstrate that the proposed semantic inference mechanism could constrain the complexity of hypotheses space to reduce the risk of overfitting and achieve better generalizability. Experimentally, extensive empirical results and ablation studies illustrate the superior performance of SIN over the prior state-of-the-art methods on FSLL.