Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Scalable and Eﬀicient FPGA Stencil Accelerators

In this paper we propose a design template for stencil computations targeting FPGA-based accelerators. The goal for our design is to provide scalable high throughput designs that can eﬃciently process iterative stencil programs with large size parameters, i.e., those whose data footprint is too large to ﬁt on-chip. Our context is when we seek to use FP-GAs as accelerators attached to CPUs. Minimizing the area is not our primary goal. We propose a family of architectures based on hierarchical tiling, where the inner tiling is used to build coarse-grain data-path operators, increasing computational throughput, and the outer tiling is used to control the memory requirement, speciﬁcally data transfers to/from the accelerator. We present preliminary results for Jacobi-style stencils on 1D and 2D data, and are working on fully automating the ﬂow.
Classiﬁcation of Radar Targets with Micro-Motion Based on RCS Sequences Encoding and Convolutional Neural Network

: Radar cross section (RCS) sequences, an easy-to-obtain target feature with small data volume, play a signiﬁcant role in radar target classiﬁcation. However, radar target classiﬁcation based on RCS sequences has the shortcomings of limited information and low recognition accuracy. In order to overcome the shortcomings of RCS-based methods, this paper proposes a spatial micro-motion target classiﬁcation method based on RCS sequences encoding and convolutional neural network (CNN). First, we establish the micro-motion models of spatial targets, including precession, swing and rolling. Second, we introduce three approaches for encoding RCS sequences as images. These three types of images are Gramian angular ﬁeld (GAF), Markov transition ﬁeld (MTF) and recurrence plot (RP). Third, a multi-scale CNN is developed to classify those RCS feature maps. Finally, the experimental results demonstrate that RP is best at reﬂecting the characteristics of the target among those three encoding methods. Moreover, the proposed network outperforms other existing networks with the highest classiﬁcation accuracy.
ZDRAVOTNÁ GRAMOTNOSŤ – NOVÝ POJEM PRE OŠETROVATEĽSKÚ PRAX

Abstract Introduction: The issue of health literacy is the focus of nursing as one of the health and health outcomes related factors. Reasonably, data on the level of health literacy and the prevalence of its deficiency in patients are lacking due to absence of the Slovak version of the research instrument. Aims:The main objective of our work was to study the level of health literacy in three specific groups of clients in from the point of age, sex, years of schooling. Another objective was to determine usability and internal consistency in our pilot testing an instrument for assessment of health literacy The Newest Vital Sign. Sample and Methods: Our research sample is consisted of 140 respondents: 40 high school students (with an average age of 17.5 ± 0.54 years), 40 nurses (34.5 ± 8.24 years) and 60 outpatients in primary care (42.32 ± 11.47 years). The Newest Vital Sign was used for data gathering. The total score above 4 indicates low likelihood of limited health literacy, while the score lower than 4, indicates limited health literacy. Results and Conclusion: Statistically significant differences were found in the level of health literacy from the point of the highest level of education, particularly in the patient group (p < 0.05). Significant differences in the level of health literacy in were not confirmed between the groups in terms of gender and age (p > 0.05) in our study. Total test score (3.08 ± 1.75), made by patients with the lowest educational attainment has specific consequences in our clinical setting. It is necessary to adapt the content and method of administration of health information in this group of patients. NVS test can be used in clinical settings but also in the public screening of
Exploring the Medical Caregivers' Perceptions of Technology Acceptance for an Online Speech and Language Assessment Application Among Stroke Patients

— Stroke is a globally increasing disease and speech and language deficiencies are common in stroke survivors. To facilitate medical caregivers in their professional work and to improve patients’ quality of life, technology can play an important role. However, the use and acceptance of technology are uncertain and more research is needed in this direction. This study evaluates the technology acceptance and adoption of an online speech and language assessment application. The evaluation-focused Design Science Research strategy was adopted for that purpose. Two physiotherapists, one occupational therapist and three speech therapists participated in the study. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used as the theoretical base for interview questions formation and data analysis. The study findings show that the suggested application is useful and easy to use; however, it should be better synchronised with speech therapists’ daily work routines. The speech therapists stressed that the functionalities of the application should be designed in close collaboration with them, and it should be compatible with the already existing systems and services in place. Due to impairments after stroke, the patients have some specific preferences for software and hardware; such as a tablet with a touch pen is the preferred hardware. Additionally, the interface should have bigger text fonts and pictures, and highly contrastive colours in the graphics should be used for patients’ convenience. The user’s privacy and security, the patient’s current health, and their previous knowledge and experience with technology were also found important determinants for the intention to use the given technology.
The Effect of Street Foods on Destination Selection in the Context of Planned Behavior Theory: The Case of Istanbul Province 1

This research was conducted to determine the effect of street foods on the behavioural intention for destination selection within the scope of planned behavior theory for the tourists visiting Istanbul. In terms of being Turkey's biggest city that welcomes tourist and having a deep-rooted culinary culture of street foods itself, Istanbul constitutes the universe of the study. Extensive literature screening was done and questionnaires which were translated into English and Arabic by experts in the field were used as the method of data collection. Tourist visiting Istanbul with the purpose of tasting street foods were surveyed in the popular tourist spots of Istanbul (Istanbul historical peninsula, Galata tower and Istiklal Street, Kadikoy) between 15 October 2018 and 15 January 2019 in Turkish, English, and Arabic. After removing 20 of the 450 questionnaires obtained after the survey, a total of 430 available questionnaires were analyzed. The data obtained from the research and the hypotheses in the model were tested by using regression analysis. It was found that the measurement results had a high level of reliability and validity. As a result of the analysis, the attitudes towards behavior and subjective norms seem to have a positive effect on the behavioral intention towards destination selection. Regarding the perceived behavioral control, it appears that there is no effect on the behavioral intention for destination selection. These results coincide with the results of previous studies on planned behavior theory. The results obtained after the analysis are important in terms of helping the studies to be carried out later.
A New Local Feature Descriptor for SAR Image Matching

Because of the weather- and illumination-independent characteristics, Synthetic Aperture Radar (SAR) has been playing a more important role for target recognition. Local stable feature descriptors in SAR image matching have been a interesting fleld in recent years. A new local feature extraction method like Scale Invariant Feature Transformation (SIFT) is proposed in this presentation, in which Local Gradient Ratio Pattern Histogram (LGRPH) based on SAR image similarity are taken as local feature descriptor from the neighbourhood of key points. Firstly, we extract the keypoints in difierence of guassian (DoG) scale pyramid like many modifled SAR-SIFT methods. Secondly, in the neighbour of kepoints, the local gradient ratio pattern histogram (LGRPH) is computed individually. Finally, the similarity is obtained by utilizing K-L discrepancy to measure the distance of LGRPH. Experimental results based on synthetic and real SAR images demonstrate that the proposed approach is robust to the speckle noise and local gradient variation in SAR images.
Research on Long Text Classiﬁcation Model Based on Multi-Feature Weighted Fusion

: Text classiﬁcation in the long-text domain has become a development challenge due to the signiﬁcant increase in text data, complexity enhancement, and feature extraction of long texts in various domains of the Internet. A long text classiﬁcation model based on multi-feature weighted fusion is proposed for the problems of contextual semantic relations, long-distance global relations, and multi-sense words in long text classiﬁcation tasks. The BERT model is used to obtain feature representations containing global semantic and contextual feature information of text, convolutional neural networks to obtain features at different levels and combine attention mechanisms to obtain weighted local features, fuse global contextual features with weighted local features, and obtain classiﬁcation results by equal-length convolutional pooling. The experimental results show that the proposed model outperforms other models in terms of accuracy, precision, recall, F1 value, etc., under the same data set conditions compared with traditional deep learning classiﬁcation models, and it can be seen that the model has more obvious advantages in long text classiﬁcation.
The Inﬂuence of Angle of Attack on the Icing Distribution Characteristics of DU97 Blade Airfoil Surface for Wind Turbines

: This study explores the inﬂuence of angle of attack (AOA) on the icing distribution characteristics of asymmetric blade airfoil (DU97) surfaces for wind turbines under icing conditions by numerical simulation. The ﬁndings demonstrate a consistence between the simulated ice shapes and experimental data. The ice thickness distribution on the lower surface of the leading edge exhibits a trend of ﬁrst rising and then declining along the chord direction while showing a gradually decreasing trend on the upper surface. The ice distribution range on the upper surface of the trailing edge is broader than that on the lower surface. The peak ice thickness at the trailing edge rises signiﬁcantly as AOA increases from 5 ◦ to 10 ◦ , and at the leading edge raises dramatically at droplet sizes of 30–40 µ m and wind speeds of 5–10 m/s. The peak ice thickness is more signiﬁcantly inﬂuenced by AOA than by ambient temperature due to the combined effect of airﬂow characteristics induced by AOA and latent heat (phase change) and sensible heat (thermal convection and thermal radiation) caused by ambient temperature. The ﬁndings offer valuable insights into the ﬂow and heat transfer physics, and can operate as references for wind turbine anti/de-icing technology.
The Transport Layer Security (TLS) Protocol Version 1.1

This document specifies Version 1.1 of the Transport Layer Security (TLS) protocol. The TLS protocol provides communications security over the Internet. The protocol allows client/server applications to communicate in a way that is designed to prevent eavesdropping, tampering, or message forgery. [STANDARDS-TRACK]
For discussion

2. The Government is committed to providing quality, flexible and diversified study pathways with multiple entry and exit points for secondary school leavers. As vocational education plays a pivotal role in broadening the learning opportunities for school leavers and in-service personnel as well as nurturing the requisite human capital in support of Hong Kong’s development, the Government attaches great importance to it. However, there is an entrenched bias among some in the community towards traditional academic pursuits. Some are also not well informed of the articulation options provided under the vocational education system and the recognition of the relevant qualifications attained. More can be done to promote vocational education as an attractive pathway and help tackle the entrenched perception of vocational education being a second choice.
Eschatology, Science, and Hermeneutics

Traditional eschatology clashes with the theory of entropy. Trying to bridge the gap, Robert John Russell assumes that theology and science are based on contradictory, yet equally valid, metaphysical assumptions, each one capable of questioning and impacting the other. The author doubts that Russell’s proposal will convince empirically oriented scientists and attempts to provide a viable alternative. Historical-critical analysis suggests that biblical future expectations were redemptive responses to changing human needs. Apocalyptic visions were occasioned by heavy suffering in postexilic times. Interpreted in realistic terms, they have since proved to be untenable. The expectation (rather than the vision) of a new creation without evil, suffering, and death is not constitutive for the substantive content of the biblical message as such. Biblical future expectations must be reconceptualized in terms of best contemporary insight and in line with a dynamic reading of the biblical witness as God’s vision of comprehensive optimal well-being that operates like a shifting horizon and opens up ever new vistas, challenges, and opportunities.
Eocene Oligocene Climatic And Biotic Evolution

Thank you very much for downloading eocene oligocene climatic and biotic evolution. As you may know, people have search numerous times for their favorite novels like this eocene oligocene climatic and biotic evolution, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful virus inside their desktop computer. eocene oligocene climatic and biotic evolution is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the eocene oligocene climatic and biotic evolution is universally compatible with any devices to read.
Records Management Journal Emerald Article: A requirements engineering analysis of MoReq

Purpose – This paper aims to provide an analysis of the MoRe2010 speciﬁcation while identifying the best practices and techniques of requirements engineering’s (RE) body of knowledge that could be applied to improve the quality of this speciﬁcation. Design/methodology/approach – Considering the scope of MoReq, the authors describe the most relevant related RE techniques and common practices. Next, they evaluate the potential impact of applying these techniques to MoReq2010. Findings – Bearing in mind that MoReq2010 is embodied as a textual document, the paper discusses how the structure and the writing style of this document could be improved by adopting: a pre-deﬁned structure template; standard-based guidelines; and well-deﬁned requirements quality criteria. Also considering that MoReq2010 is the result of a collaborative process, it is also suggested how the authoring process could be improved by using traceability, prioritisation, and other requirements management techniques. Research limitations/implications – The paper only assesses the MoReq2010 speciﬁcation as it was made public. Thus, although it is considered that requirements discovery approaches are very important for the quality of any ﬁnal result, the paper does not discuss the techniques that were eventually used to elicit original stakeholders’ needs. Originality/value – The paper synthesizes several recommendations that, if followed, will have a strong impact on the overall quality of MoReq2010. Furthermore, as it is believed that these recommendations are not disruptive, they can be directly applied against the current version of MoReq2010.
Safety, efficacy, and removability of a fully covered multi-hole metal stent in a swine model of hilar biliary stricture: a feasibility study

Abstract Background and study aims Use of fully covered self-expandable metal stents (FCSEMS) for biliary drainage of malignant hilar biliary strictures is limited because of risk of cholangitis due to side branch obstruction. The aim of this study was to evaluate the safety and efficacy of unilateral placement of a multi-hole FCSEMS (FCSEMS-MH), which had a 2.5-mm hole in the center of the membrane on each cavity, in a swine model of hilar biliary stricture. Materials and methods Six female mini pigs were included in this prospective study. The hilar biliary stricture model was prepared using an endobiliary radiofrequency ablation. FCSEMS-MHs were endoscopically inserted into the peri-hilar bile duct of all the animals. Outcomes were assessed in terms of adverse events (AEs) including cholangitis, stent patency, stent migration, and endoscopic stent removability for 1 month after stenting. Results In terms of hilar biliary stricture types, two animals were of Bismuth type I and four were of type II. Technical success rate for endoscopic metal stenting was 100 % (6/6), and the functional success rate, which was evaluated 7 days after stent insertion, was also 100 % (5/5). The immediate overall AE rate was 0 %. There was no procedure-related mortality and stent migration did not occur in any animal during the 4-week stent indwelling period. Stents were removed from all six animals at 4 weeks post-stenting. Conclusion Unilateral placement of FCSEMS-MH might be safe and effect for swine hilar biliary stricture models. However, long-term follow-up and comparative studies are needed to verify the usefulness of this stent.
Data Breach Announcements: Evaluating the Content and Timing Data Breach Announcements: Evaluating the Content and Timing of Breach Announcements and Their Effect on Firm Value of Breach Announcements and Their Effect on Firm Value

Cybercrime has significant impacts to firms. One way to measure the significance of cyber events such as data breaches to firm valuation is using event studies. However, the findings of previous event studies in this area have been mixed and need additional research. Additionally, the effect of firm-specific actions contained in the breach announcement, as well as the timeliness of the breach notification itself, have yet to be studied. The current research applied four event study models to data breach announcements over the period 2017-2021, resulting in statistically significant negative cumulative average abnormal returns (CAAR) in days immediately surrounding the breach announcement. A series of cross-sectional regression analyses noted that shareholders reacted more favorably to breach responses including free credit monitoring for those affected and the hiring of a forensic expert. However, investors generally reacted more negatively to breach announcements during periods of high investor uncertainty.
PROVEX – APPROACHABLE DATA PROVENANCE TRACKING FOR SPACE MISSIONS

Data understanding is crucial throughout space missions and inherent in science workflows. To understand and reproduce scientific results it is important to trace them back to the data-sources and derived products at all times. With heterogeneous data-sources, large data-sets, complex data acquisition and processing methods, however, it is challenging to keep track of heterogeneous instrument data and complex derived products such as 3D re-constructions. We present PROVEX , a provenance tracking framework which provides a principled approach to collaborative data and workflow management targeting space science applications. PROVEX provides the data and workflows as graph visualizations that the user can interact with. We showcase the application with use-cases from geological interpretation based on 3D reconstructions and mineral analysis using spatially mapped multi-spectral imagery. Testing emphasizes use cases from preparations for the Hera mission [4].
Pradhan Mantri Krishi Sinchai Yojana: Enhancing Impact through Demand Driven Innovations, Research Report IDC-7

The Ministry of Agriculture and Farmers Welfare, Government of India, has launched the Pradhan Mantri Krishi Sinchai Yojana (PMKSY) to address India’s key agricultural challenges in the 21st century i.e., to reduce poverty and ensure food security for the growing population in the face of climate change, scarce and limited water and land resources. This initiative proposes to provide irrigation to every farm in the country (Har Khet Ko Pani) and improve water use efficiency (Per Drop More Crop and Income). It aims to bring together various schemes and programs for water harvesting, conservation and efficient management in order to ensure there is enough water for agriculture. This program also aims to harness the potential of agriculture by effectively utilizing green (soil moisture) and blue water (irrigation) for improving efficiency, sustainability, equity and resilience at the farm level, especially in rainfed, marginal and fragile areas, using an integrated approach.
Navigation regimes for off-road autonomy

A new approach to high-speed, off-road navigation is presented. The interrelatedness of sensing horizon, prior map resolution, speed and efficiency is investigated over the space of off-road navigation. From this analysis, the space of off-road navigation is partitioned into three regimes (efficiency-limited, stop-limited and swerve-limited). Safeguarding through pre-planning and swerving emerges as an approach to achieve greater performance than possible with panic-stopping. The swerve-limited regime is characterized by high speeds that are achieved using plans derived in part from prior maps. Within the swerve-limited regime, sensing horizon is linearly proportional to robot speed. Thus an autonomous robot can operate at speeds beyond the point at which panic stopping is viable if it is safe to avoid obstacles by swerving. Navigating safely within this regime therefore explicitly requires some prior knowledge or assumption. The efficiency-limited regime is characterized by low speeds. Onboard sensing horizon is fixed given a specified prior map resolution and desired navigation efficiency. Typical applications include planetary exploration and mine-mapping. For operation between the efficiency-limited and swerve-limited regimes, robot stopping distance limits speeds. In this stop-limited regime, sensing horizons increase quadratically as speed rises to ensure robot safety. Algorithms designed for navigation within the stop-limited regime generally require some cognizance of vehicle dynamics. Two implemented approaches to off-road navigation, one relevant for high-speed, long duration driving, and the other for planetary exploration, are contrasted and described in detail. These particular implementations exemplify the efficiency-limited and swerve-limited regimes and represent the state-of-the-art in planetary exploration and high-speed navigation.