Miracle-dz/UniFAR-FTUs huggingface dataset:
Object Oriented Condensed Graphs

Even though Object Orientation has been proven to be an effective programming paradigm for software development, it has not been shown to be an ideal solution for the development of large scale parallel and distributed systems. There are a number of reasons for this: the parallelism and synchronisation in these systems has to be explicitly managed by the programmer; few Object Oriented languages have implicit support for Garbage Collection in parallel applications; and the state of a systems of concurrent objects is difficult to determine. In contrast, the Condensed Graph model provides a way of explicitly expressing parallelism but with implicit synchronisation; its implementation in the WebCom system provides for automatic garbage collection and the dynamic state of the application is embodied in the topology of the Condensed Graph. These characteristics free programmers from the difficult and error prone process of explicitly managing parallelism and thus allows them to concentrate on expressing a solution to the problem rather than on its low level implementation. Object Oriented Condensed Graphs is a computational paradigm which combines Condensed Graphs with object orientation and this unified model leverages the advantages of both paradigms. This paper illustrates the basic features of Object Oriented Condensed Graphs as well as its support for large scale software development.
The Clark Bar Prospect: Granite-Hosted Sn-Mo-Ag Mineralization in the Northern Talkeetna Mountains, Southern Alaska

Clark Bar is a strongly altered and oxidized zone of Paleocene granitic rocks intruded by aplitic to aphanitic felsic dikes along Clark Creek in the northern Talkeetna Mountains, southern Alaska. Major-, minor-, and trace-element geochemistry of fresh plutonic host rocks, altered rocks, and stream sediment suggest that the prospect has a potential to host granitoid SnMo-Ag mineralization. Regional mapping and lithogeochemistry suggest that many of the Tertiary plutonic rocks exposed in the northern Talkeetna Mountains belong to the “specialized” granite or granophile suite. Much of the area of the northern Talkeetna Mountains where these granites are exposed is prospective for various Sn-, Mo-, and Ag-enriched granophile deposits.
UvA-DARE ( Digital Academic Repository ) Instructional theory for language lessons : a design study to validate the Communities of Learners concept in the language curriculum

Since the Lisbon Summit in 2000, reducing school dropout rates has a high priority in Europe, especially in pre-vocational tracks in secondary education. One policy issue is improving the match between pre-vocational secondary and senior secondary vocational education and allows a stronger focus on practical work in vocational education. Therefore, more and more schools for secondary pre-vocational education in the Netherlands set out a specific language education policy relating the language arts curriculum to the vocational curriculum. One assumes that students will be more motivated for language lessons when they are engaged in rich contexts, in meaningful language activities which they experience as relevant, since it serves a clear communicative purpose. To guide this process of curriculum integration we set out an instructional theory for language education in the setting of pre-vocational education. In this paper we present four course design parameters that constitute our interpretation of a community of learners for secondary prevocational L1-learning: 1) language learning as a meaningful activity; 2) language learning as a reflective activity; 3) language learning as a shared activity and 4) language learning as a focus on transferable learning outcomes. To check explore the practicality and theoretical value, we set up a design experiment as a collaborative enterprise of teachers and researchers, in which these parameters guided the joint enterprise. We confronted the theoretical framework with the analysis of a single case study, the design experiment, to elaborate and validate this set of four design parameters. Therefore, we operated at three curriculum representations: the (1) intended; (2) implemented; and (3) perceived curriculum. Discriminating these three representations served as data to review and revise the designed lessons as we ran them in two classes, as well as to adjust and refine the conceptual framework. The results show that the designers incorporated all four parameters and that all four contributed to the design somehow. Furthermore, we are better informed 58 ANNE TOORENAAR & GERT RIJLAARSDAM what kind of learning activities the four parameters can and can not generate, and how the four parameters interact in means-end relations.
Radio Listening , Television Viewing and Comprehension Development in Senior Secondary School Students in Jos Metropolis

Reading comprehension is the basic foundation for functional literacy and scholastic achievement. However, most school children spend a great deal of their time watching television or listening to radio than in reading. The research effort was thus; set out to investigate the effects of television and radio programmes to the development of comprehension levels in secondary school students. The study revealed that exposure to both programmes of television and radio had negative impact on the development of higher levels comprehension, while positively affecting the lower levels. Ways of developing critical comprehension in relation to both media types in reading classes and out of school activities are suggested AFRREV IJAH An International Journal of Arts and Humanities Bahir Dar, Ethiopia Vol. 1 (1), February, 2012:318-329 ISSN: 2225-8590 AFRREV IJAH, Vol.1 (1) February, 2012 319 Copyright © IAARR 2012: www.afrrevjo. net/afrrevijah Indexed African Researches Reviews Online: www.arronet. info Background and Objectives There has been a general outcry and concern by parents and school authorities on the pervasive use of television and radio by Nigerian youths and children. The concern is justified by the outright dearth of reading culture (except for examinations and tests) among them. Furthermore, the recurrent poor academic performance of most students in their studies and the lack of consensus on the cause of this poor performance spurred the need for this research effort. In undertaking this research, the study investigated the effects of the television and radio on the levels of reading comprehension in secondary school students in Jos Metropolis. It specifically, determined the effects of television and radio on secondary school students‘ reading comprehension abilities at the literal, inferential and analytical levels. Research Question and Hypotheses One research question and three hypotheses were posed to guide and resolve the problems of the study.
Muted: Multilingual Targeted Offensive Speech Identification and Visualization

Offensive language such as hate, abuse, and profanity (HAP) occurs in various content on the web. While previous work has mostly dealt with sentence level annotations, there have been a few recent attempts to identify offensive spans as well. We build upon this work and introduce Muted, a system to identify multilingual HAP content by displaying offensive arguments and their targets using heat maps to indicate their intensity. Muted can leverage any transformer-based HAP-classification model and its attention mechanism out-of-the-box to identify toxic spans, without further fine-tuning. In addition, we use the spaCy library to identify the specific targets and arguments for the words predicted by the attention heatmaps. We present the model's performance on identifying offensive spans and their targets in existing datasets and present new annotations on German text. Finally, we demonstrate our proposed visualization tool on multilingual inputs.
A NEW TRIASSIC TIMESCALE

The current Triassic chronostratigraphic scale is a hierarchy of three series divided into seven stages, divided further into 15 substages. Ammonoid and conodont biostratigraphies provide the primary basis for chronostratigraphic definition based on global stratotype sections and points (GSSP). I propose that Triassic chronostratigraphic definition should rely entirely on ammonoid biochronological events and thereby reject con- odont biostratigraphy and the GSSP methodology. Here I propose a new Triassic chronostratigraphy that divides the Triassic into four series (Scythian, Dinarian, Carnian and Norian), recognizes a four-stage Scythian (Griesbachian, Dienerian, Smithian and Spathian), elevates the Carnian and Norian substages (Julian, Tuvalian, Lacian, Alaunian and Sevatian) to stage rank, and includes the Rhaetian as a stage in the Norian Series. A sparse but growing database of precise radioisotopic ages supports the following calibrations: base of Triassic ~ 252 Ma, base Smithian ~ 251 Ma, base Anisian ~ 247 Ma, base Ladinian ~ 242 Ma, base Carnian ~ 237 Ma, base Norian ~ 221 Ma, base Rhaetian ~ 205 Ma, base Jurassic ~ 201 Ma. Triassic magnetostratigraphy is a series of multichrons at best, and needs vast improvement to make a substantial contribution to the Triassic timescale. …. a GSSP is intended to be permanent, and thus immune to further changes in the status of its perceived
Organizational Learning : From Experience to Knowledge

Organizational learning has been an important topic for the journal Organization Science and for the field. We provide a theoretical framework for analyzing organizational learning. According to the framework, organizational experience interacts with the context to create knowledge. The context is conceived as having both a latent component and an active component through which learning occurs. We also discuss current and emerging research themes related to components of our framework. Promising future research directions are identified. We hope that our perspective will stimulate future work on organizational learning and knowledge.
Organizational Learning: Creating, Retaining and Transferring Knowledge

From the Publisher: Organizational Learning: Creating, Retaining and Transferring Knowledge describes and integrates the results of research on factors explaining organizational learning curves and the persistence and transfer of productivity gains acquired through experience. Chapter One provides an overview of research on organizational learning curves. Chapter Two introduces the concept of organizational 'forgetting' or knowledge depreciation. Chapter Three discusses the concept of organizational memory. Chapter Four argues that analyzing small groups provides understanding at a micro level of the social processes through which organizations create and combine knowledge. Chapter Five describes results on knowledge transfer. Chapter Six discusses various tensions and trade-offs in the organizational learning process.
Analyzing Microservices and Monolithic Systems: Key Factors in Architecture, Development, and Operations

Microservices and monolithic systems are two prevalent architectural approaches in software development. This study provides a complete review and analysis of the key components involved in design, development, and operation in software development. A systematic review of the literature was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This review examined various sources debating monolithic systems vs microservices, highlighting their benefits, drawbacks, and implementation in enterprises. The paper addresses important research questions, aiming to further analyze this architectural approach. Findings show that microservices offer benefits such as scalability, flexibility, and independent deployment, while monolithic systems provide simplicity and ease of development. However, challenges related to network communication, data consistency, and operational complexity were also found with microservices. This research focuses on discussing the trade-offs and factors to consider when deciding between monolithic systems and microservices, which provides in-depth information for practitioners in decision-making for software development. This research aims to help readers understand the effects of using monolithic or microservice-based systems in software development.
Real-Time Environmental Noise Management and Control Using Raspberry Pi and Acoustic Sensors

Urban noise pollution threatens health and quality of life. This paper proposes real-time ambient noise management using acoustic sensors and a Raspberry Pi. A cost-efficient and effective noise monitoring and reduction system is the aim. The system's CPU is a Raspberry Pi. To detect noise, acoustic sensors are strategically placed. The Raspberry Pi processes sensor data in real-time and analyzes noise to gain insights. The system measures noise using FFT and noise mapping techniques. These approaches allow us to fully understand noise's properties and geographical distribution and the fundamental elements derived from acoustic data. Based on noise analysis, active control methods decrease noise pollution. This includes sound masking, adaptive noise cancellation, and intelligent activity scheduling. The Raspberry Pi makes noise control techniques easier to organize and implement. The suggested system is extensively tested in real-world conditions. Our technique successfully reduces noise pollution, identifies noise sources, and properly measures noise levels. Real-time reaction and intervention improve environmental and noise control. This research helps create a cost-effective real-time environmental noise control system. Combining the Raspberry Pi with sound sensors creates a flexible platform that may be deployed in homes, offices, and public spaces. The system's real-time noise data analysis and active noise control offer new noise management solutions.
Very preliminary, please do not quote

We analyse how the financial support for long-term elderly care affects the caregiving behaviour. Using a difference-in-differences estimator, we investigate the impact of the 2002 Scottish reform, which introduced free formal personal care for all the elderly aged 65 and above residing in Scotland. We find that the Scottish policy reduced the probability that an individual informally takes care of another adult by 0.65 percentage points, which amounts to a decrease of about 19%. Conditional on giving care, the reduction in the number of hours of informal care amounts to 3 hours. The effect is particularly strong among older and less educated caregivers. Despite the reduction in informal caregiving activities, we observe only marginal changes in working behaviours, with men increasing their labour force participation by 1 percentage points at the extensive margin and by 0.6 hours per week at the intensive margin.
Adapting communication to the public's intuitive understanding of CCS

Public perceptions of the benefits and risks associated with carbon dioxide capture and storage (CCS) are important determinants of public acceptance and have a strong impact on the political feasibility of this technology. Communication material aimed at informing the general public about CCS should be tested to find out how it influences perceived risks and benefits. Existing literature shows that laypeople's intuitive concepts about technical functioning and value‐based socio‐economic concerns influence perceived risks and benefits. We conducted two experimental studies that built on previous research about lay concepts of CCS. The first experiment examined the impact of extensive information versus basic information; the second experiment examined the effect of specific information on perceived risks and benefits. The results show that the provision of comprehensive information aimed at resolving prevalent misconceptions about CCS can decrease perceived risk and increase perceived benefits. But the findings also show that some specific types of information can result in the perception of higher risks and lower benefits. We conclude that CCS communication for the general public needs to be adapted to laypeople's intuitive knowledge in associated fields. The present research provides some first indications of how specific information about CCS can affect the public. © 2011 Society of Chemical Industry and John Wiley & Sons, Ltd
Neurourology and Urodynamics

Correspondence Linda McLean, PhD, School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, 200 Lees Ave. E260C, Ottawa, Ontario K1N 6N5, Canada. Email: Linda.McLean@uottawa.ca Abstract Context: Pelvic floor muscle training (PFMT) is strongly recommended for the management of mild to moderate urinary incontinence (UI) in women, yet the specific elements of PFMT that lead to improvement have not been identified. This gap in knowledge may be related, at least in part, to the lack of detail provided on intervention parameters reported in randomized controlled trials (RCTs) Objective: Using three different instruments: the Consensus on Exercise Reporting Template (CERT), the template for intervention description and replication (TIDieR) checklist, and the Consensus on Therapeutic Exercise Training (CONTENT) scale, the purpose of this study was to assess the completeness of exercise reporting among moderate to high quality RCTs on PFMT for women with UI. Methods: Two raters independently scored all 65 RCTs (n= 65) retrieved by the most up‐to‐date Cochrane Systematic Review on PFMT for women with UI, and only those of moderate to high quality (>6 on the PEDro scale) were retained. Eighteen articles met the inclusion criteria and were scored by two independent reviewers using the CERT, TIDieR, and CONTENT instruments. The completeness of intervention reporting was evaluated using descriptive statistics. Results: Over half of the items on each instrument were reported less than 50% of the time. Overall, completeness of exercise reporting was 31% (5.8/16 ± 2.4) on CERT, 47% (5.6/12 ± 1.5) on TIDieR, and 46% (4.1/9 ± 1) on CONTENT. The least frequently reported items were the provider of the intervention, the equipment used, the tailoring of exercises, the rationale behind the intervention, and adherence to the intervention. Conclusion: PFMT parameters are not adequately reported in the primary RCTs that currently guide clinical practice.
Mid-Latitude Weather Systems

"Mid-Latitude Weather Systems" is the first text to make extensive use of conventional weather charts and equations to fully illustrate the behavior and evolution of weather patterns. With the use of well-documented case studies, Toby Carlson has achieved a unique presentation of selected concepts, which facilitate a clear interpretation of this active and challenging area of study. Early chapters focus on the mathematics necessary to construct simple models which are subsequently used to describe and interpret the movement, evolution, and structure of particular weather patterns. Particular meteorological phenomena are discussed using schematic illustrations in conjunction with actual weather charts for explanation. The charts are an original and powerful feature of the text and display parameters routinely issued by the United States Weather Service. Presenting a fusion between the mathematical and descriptive fields of meteorology and integrated coverage of synoptic and dynamic approaches, "Mid-Latitude Weather Systems "provides students with an invaluable course text and reference source to gain an unclouded appreciation of the underlying processes and behavior of mid-latitude weather patterns. "
Rejoinder on: Minimal penalties and the slope heuristics: a survey.

This text is the rejoinder following the discussion of a survey paper about minimal penalties and the slope heuristics (Arlot, 2019. Minimal penalties and the slope heuristics: a survey. Journal de la SFDS). While commenting on the remarks made by the discussants, it provides two new results about the slope heuristics for model selection among a collection of projection estimators in least-squares fixed-design regression. First, we prove that the slope heuristics works even when all models are significantly biased. Second, when the noise is Gaussian with a general dependence structure, we compute expectations of key quantities, showing that the slope heuristics certainly is valid in this setting also.
Fake and Untrue News Dataset (FUND): An Expanded Dataset for Fake News Classification

With the growth of the internet and other forms of communication, fake news has become an increasing prevalent problem within society. Due to the ease and speed at which one can spread false information, manual fact checkers have long struggled to combat the issue. As a result, machine learning strategies have been employed to automatically detect fake news with great success. However, many of these models are trained on geographically limited sets of data with relatively few samples. In this paper, we present a geographically diverse, English-language fake news classification dataset with 29,078 samples. Additionally, we complement the data with several classical models to serve as a benchmark for future work in fake news classification, achieving 92% accuracy.
Planktonic foraminifera: Differential dissolution and the Quaternary stable isotope Record in the west equatorial Pacific

Differential dissolution affects the isotopic composition of different species of planktonic foraminifera in different ways. In the two species studied here in cores from Ontong Java Plateau, the less resistant species, Globigerinoides sacculifer, is more readily affected at a shallower depth than the more resistant species, Pulleniatina obliquiloculata (2.9 versus 3.4 km), but shows a smaller and less predictable response to partial dissolution (0.2 to 0.3 per mil versus 0.6 to 0.7 per mil). Comparison of isotopic values from the last glacial period with those from the late Holocene indicates that the apparent dissolution effect is considerably reduced during the last glacial, presumably due to reduced dissolution intensity during glacial time. A change in the level of the lysocline of about 400 m is suggested. In the published isotope records from Pacific cores V28-238 and V28-239, the dissolution-generated difference in δ18O (noted previously by Shackleton and Opdyke [1976]) is seen to describe a mid-Brunhes dissolution maximum, between 300 and 500 thousand years ago. This mid-Brunhes dissolution excursion is well known from the Pacific and the Indian Ocean.
A Deep Pair Siamese CNN for Multi-Class Classification of Alzheimer Disease.

Alzheimer’s disease is a neurodegenerative disease characterized by a progressive loss memory and certain intellectual (cognitive) functions leading to repercussions in the activities of daily living. Early diagnosis of Alzheimer’s disease is a difficult task for researchers. In clinical research, magnetic resonance imaging (MRI) is used to diagnose Alzheimer’s disease. MRI can detect cortical atrophy and in particular atrophy of the hippocampi. Approaches based on deep convolutional neural network (CNN) and machine learning represent one solution and they are readily available and described to solve various problems related to the analysis of brain image data. High-dimensional classification approaches have been widely used to study magnetic resonance imaging (MRI) data for automatic classification of Alzheimer’s disease (AD). In this work, we proposed a Deep Siamese Convolutional Neural Network model for a Multi-class Classification of Dementia Stages in Alzheimer’s Disease. The experiments are carried out on the OASIS database accessible free of charge to the public. We compared our model with the best models and found that the proposed model outperforms the best models in terms of different performance.