Miracle-dz/UniFAR-FTUs huggingface dataset:
A Resilient Large-Scale Trajectory Index for Cloud-Based Moving Object Applications

The availability of location-aware devices generates tremendous volumes of moving object trajectories. The processing of these large-scale trajectories requires innovative techniques that are capable of adapting to changes in cloud systems to satisfy a wide range of applications and non-programmer end users. We introduce a Resilient Moving Object Index that is capable of balancing both spatial and object localities to maximize the overall performance in numerous environments. It is equipped with compulsory, discrete, and impact factor prediction models. The compulsory and discrete models are used to predict a locality pivot based on three fundamental aspects: computation resources, nature of the trajectories, and query types. The impact factor model is used to predict the influence of contrasting queries. Moreover, we provide a framework to extract efficient training sets and features without adding overhead to the index construction. We conduct an extensive experimental study to evaluate our approach. The evaluation includes two testbeds and covers spatial, temporal, spatio-temporal, continuous, aggregation, and retrieval queries. In most cases, the experiments show a significant performance improvement compared to various indexing schemes on a compact trajectory dataset as well as a sparse dataset. Most important, they demonstrate how our proposed index adapts to change in various environments.
Reverse-Engineering ConjunctiveQueries from Provenance Examples

The provenance of a query result details relevant parts of the input data as well as the computation leading to each output tuple. Multiple lines of work have studied the tracking and presentation of provenance, showing its effectiveness in explaining and justifying query results. The willingness of application owners to share provenance information for these purposes may however be hindered by the resulting exposure of the underlying query logic, which may be proprietary and confidential. We therefore formalize and study the following problem: when a (small) subset of the query results along with their provenance is given, what information is revealed about the underlying query? Our model is based on the provenance semiring framework and applies to many previously proposed provenance models. We analyze two flavors of the problem: (1) how many queries may be consistent with a given provenance example? and (2) what is the complexity of inferring a consistent query, or one that is a “best fit"? Our theoretical analysis shows that there may be many (for some models, even infinitely many in presence of self-joins) consistent queries, yet we provide practically efficient algorithms to find (best-fit) such queries. We experimentally show that the algorithms are generally successful in correctly reverse engineering queries, even when given only a few output examples and their provenance.
Contour Change Versus Traditional Fusion Approaches: Analysis of Sagittal Radiographic Comparison of Lateral Lumbar Interbody Fusion

Background Lateral approach to lumbar fusion has been gaining popularity in recent years. With increasing awareness of the significance of sagittal balance restoration in spinal surgery, it is important to investigate the potential of this relatively new approach in correcting sagittal deformities in comparison to conventional approaches. The aim of this study was to evaluate sagittal contour changes seen in lateral lumbar interbody fusion and compare them with radiographic changes in traditional approaches to lumbar fusion. Methods Lumbar fusion procedures from January 2008 to December 2009 were reviewed. Four approaches were compared: anterior lumbar interbody fusion (ALIF), lateral lumbar interbody fusion (LLIF), transforaminal interbody fusion (TLIF) and posterior spinal fusion (PSF). Standing pre-operative and 6-week post-operative radiographs were measured in terms of operative level, suprajacent and subjacent level, and regional lumbar lordosis (L1-S1) as well as operative level anterior (ADH) and posterior disc heights (PDH). T-test was used to analyze differences be-tween and within different approaches ( α =0.05).
Beyond Screen Time Hietajärvi

This study contributes to the research on the differences in young peoples' approaches to socio-digital participation (SDP). We first investigated the differences in SDP between three samples of Finnish students (i.e., elementary school 6th grade, n=741; high school 1st year, n= 1317; higher education 1st year, n=1232) and then looked at how these differences are associated with academic well-being. We used exploratory structural equation modeling to investigate the factor structure of SDP and further structural relations to study engagement and study burnout. Despite some differences between the three student cohorts regarding the factor structure of SDP, the same five dimensions of participation were identified in all of them: social networking oriented participation, knowledge-oriented participation, media-oriented participation, action gaming, and social gaming. In the high school sample also a sixth factor, blogging-oriented participation, differentiated from the knowledge oriented dimension. Taken together, using digital technologies to communicate and maintain social networks (social networking), was consistently either related to lower study engagement or to higher study burnout. Playing of action and sports games (action gaming) was related in all samples either to lower engagement or higher cynicism. Using digital tools to gain and share knowledge (knowledge-oriented) was, in contrast, related to higher study engagement. The results demonstrate that students' digital activities reflect multiple dimensions that are differently related to academic well-being. This study sheds light on the complexity of young peoples' SDP orientations and their related outcomes such as socio-emotional and motivational functioning.
Gray Matter Atrophy: The Impacts of Resective Surgery and Vagus Nerve Stimulation in Drug Resistant Epilepsy.

BACKGROUND There is great concern for cognitive function following resective temporal lobe surgery for drug resistant epilepsy (DRE). However, few studies have investigated postoperative anatomical changes and the downstream effects of surgery are poorly understood. This study investigated volumetric changes following resective surgery and vagus nerve stimulation (VNS) for epilepsy. METHODS Preoperative and latest postoperative (mean 28 months) structural T1 MRI scans were retrospectively obtained for 43 patients: 27 temporal lobe resections (TLR), 6 extratemporal lobe resections (ETLR), and 10 VNS, undergoing surgery for DRE between 2012-2017. Automated volumetric analyses of predefined cortical gray matter and subcortical structures were performed. Preoperative and postoperative volumes were compared, and the effects of age, gender, operation type, resection laterality, selectivity, time since surgery and seizure outcome on volumetric changes were analyzed. RESULTS Following TLR, there were reductions in contralateral hemispheric gray matter, temporal lobe, entorhinal cortex, parahippocampal, superior temporal, middle temporal, inferior temporal (p=.02), lingual, fusiform, precentral, paracentral, postcentral, pericalcarine gyri and ipsilateral superior parietal gyrus. Following VNS, there was bilateral atrophy in the thalamus, putamen, cerebellum, rostral anterior cingulate, posterior cingulate, medial orbitofrontal, paracentral, fusiform, and transverse temporal gyri. There was a significant effect of surgery type, but no effect of age, gender, operation type, resection laterality, selectivity, time since surgery and seizure outcome on contralateral hippocampal grey matter change. CONCLUSION This is the first study to demonstrate volumetric decreases in temporal and connected regions following TLRs and VNS. These results provide interesting insight into functional network changes.
A Program of Their Own: The Design and Evolution of an Undergraduate Degree Program for Police Officers in Ontario

In the late 1990s and early 2000s, the Toronto Police Service was exploring how to increase access to higher education to its officers. The service saw higher education as salient to its organizational imperatives of professionalization, increased public legitimacy and credibility, and enhanced academic recognition of police professional learning. To realize this mission, the Toronto Police Service entered into a higher education partnership with the University of Guelph and Humber Institute of Technology and Advanced Learning under its then-new joint venture, the University of Guelph-Humber. The University of Guelph-Humber designed an accredited higher education pathway for Toronto Police personnel that also gave academic credit for past professional learning and increased educational access by offering blended course delivery. Based on semi-structured interviews with key educational administrators at the University of Guelph-Humber, Humber Institute of Technology and Advanced Learning, and the Toronto Police Service, this article narrates the origins of this higher education pathway—a Bachelor of Applied Arts in Justice Studies. In addition, it describes how this pathway evolved to include non-uniform Toronto police personnel, other police services, and expanded further to include learners from the larger justice and public safety fields. The exploration is situated in a larger discussion about the relationship between higher education, professionalization and legitimacy, and the potential of partnerships between higher educational institutions and professions in Canada.
D S ] 1 3 M ar 2 01 7 Locating a Small Cluster Privately ∗

We present a new algorithm for locating a small cluster of points with differential privacy [Dwork, McSherry, Nissim, and Smith, 2006]. Our algorithm has implications to private data exploration, clustering, and removal of outliers. Furthermore, we use it to significantly relax the requirements of the sample and aggregate technique [Nissim, Raskhodnikova, and Smith, 2007], which allows compiling of “off the shelf” (non-private) analyses into analyses that preserve differential privacy. DOI: http://dx.doi. org/10.1145/2902251.2902296 ∗The presentation and analysis of Algorithm GoodCenter (Section 4.3) includes a step that was missing in earlier versions of this paper. †Dept. of Computer Science, Ben-Gurion University and CRCS, Harvard University. Supported by NSF grant CNS-1237235, a grant from the Sloan Foundation, a Simons Investigator grant to Salil Vadhan, and ISF grant 276/12. ‡Dept. of Computer Science, Ben-Gurion University. Supported by the Ministry of Science and Technology, Israel. §Center for Research on Computation & Society, John A. Paulson School of Engineering & Applied Sciences, Harvard University. http://seas.harvard. edu/~salil. Supported by NSF grant CNS-1237235, a grant from the Sloan Foundation, and a Simons Investigator grant. Work done in part when visiting the Shing-Tung Yau Center and the Department of Applied Mathematics at National Chiao-Tung University in Hsinchu, Taiwan.
obust model-based fault diagnosis for air handling units imothy

Fault detection and diagnosis (FDD) for heating, ventilation and air conditioning (HVAC) equipment significantly impact energy consumption in both residential and commercial buildings. In most modern building management systems (BMS), HVAC historical data logs in large quantity and high resolution are recorded and available for further online or offline analysis, including automated FDD. In this paper, a model-based fault diagnosis method is developed by applying support vector machine (SVM) techniques to model parameters recursively calculated by an online estimator. The estimator presumes an autoregressive time series model with exogenous variables (ARX). A real-world air handling unit (AHU) dataset containing process variables measured at regular intervals is pre-processed by the online estimation algorithm. Each data vector in the original dataset (measured), together with a small number of achine learning techniques arameter estimation ecursive least squares appropriately selected lags, is converted to a parameter vector representing the state at the same instant. The set of parameter vectors is sub-divided into classes by SVM, enabling fault classification. Validation via experimental data demonstrates that the proposed hybrid approach produce superior performance measured by F-measure scores compared to alternative methods. Robustness to model uncertainty is also established. © 2014 Elsevier B.V. All rights reserved.
Characteristic of Ionospheric foF2 and Solar Indices during the 23rd Solar Cycle over High Latitude Station, Syowa, Antarctica

The behavior and dynamics of ionosphere are completely dependent on the solar activity. We have investigated the long term variability of ionospheric parameter foF2 with corresponding changes in the solar activity during the 23rd solar cycle. The variation of the critical frequency of ionospheric foF2 at Syowa Station Antarctica, (69°S, 39°E) is examined with four different solar activity indices characterizing the long term variability of solar activity wise Flare Index, relative sunspot number (Rz), solar flux F10.7 cm and CME occurrence index. We compared the dependency of foF2 and other solar activity indices on each other by using linear correlation investigation, and showed the qualitative similarity of the ionospheric foF2 with the solar indices. We notice that hysteresis of foF2 is lower for the growing branches of the solar cycle. The individual dissimilarity of critical frequency foF2 demonstrated the dependency on the solar cycle but this variation was different during the months, which depended on solar activity and polar ionospheric behavior. The peak to peak variation between monthly average of critical frequency foF2 and solar indices parameter is evidence for the absolute dependency for each other. The linear correlation between the solar indices and foF2 is very strong during the climbing and downward branches of the solar cycle. However the incline of their linear fits shows variations from index to index.
Adsorption-induced surface normal relaxation of a solid adsorbent

We investigate adsorption of a gas on the flat surface of a solid deformable adsorbent taking into account thermal fluctuations and analyze in detail the effect of thermal fluctuations on the adsorbent deformation in adsorption. The condition for coexistence of two states of a bistable system of adsorbed particles is derived. We establish the specific properties of the adsorption-induced surface normal relaxation of an adsorbent caused by thermal fluctuations. The mean transition times between two stable states of the bistable system are derived in the parabolic approximation and in the general case.
Mobile Based System for Arrhythmia Disease Detection and Classification

Heart Rate Variability (HRV) is a measure of variation in the time interval between consecutive heart beats. HRV analysis is highly sensitive for risks linked with cardiovascular diseases are main cause of death in Egypt and all over the Middle East. Early detection of cardiac arrhythmia diseases achieves effective treatment by makes it easy to choose appropriate anti-arrhythmic drugs, also very important for improving arrhythmia therapy and preventing number of death in individuals. In this paper, an efficient cardiac arrhythmia detection algorithm was introduced. Different classifiers are deployed and examined on ECG signal. SVM and RF as ensemble classifier show accuracy of 98.18 % in 0.145 sec which is best accuracy among all other classifiers. In addition this paper also proposes a mobile based system architecture integrated with the algorithm for diagnosis and classification of cardiac arrhythmia diseases. The proposed system can be easily used by patients to check their heart health remotely and easily.
Effects of SGLT2 Inhibitor on Left Ventricular Function: A Meta-analysis

Background: Although a variety of research have significant protective action on the cardiovascular system when use of SGLT2 inhibitor, it is still unclear how can improve ventricular remodeling and fundamentally Reduce the mortality of cardiovascular. The purpose of this meta-analysis is to explore the efficacy of sodium glucose cotransporter type 2 (SGLT-2) inhibitors in improving left ventricular (LV) remodeling in patients with type 2 diabetes (T2DM). Methods: We searched articles published before September 30, 2020, regardless of language, in 4 electronic databases: PubMed, EMBASE, Cochrane Library and Web of Science. We included randomized controlled trials in this meta-analysis. The differences in the mean changes in left ventricular echocardiographic parameters between the treatment group and control group were evaluated.Results: Combined outcome indicators showed that SGLT2 inhibitors, LAVI (WMD＝-6.29，95％CI（-10，-2.58），P＜0.001) , E/e'（WMD＝-2.15，95％CI（-4.08，-0.21），P=0.003） , LVEF(WMD＝3.67，95％CI （0.59，6.75），P=0.02) , LVEDV( WMD＝-1.99，95％CI （-26.49，-22.50），P=0.87), LVESV(WMD＝-8.36，95％CI （-17.36，-0.65），P=0.07). Conclusions: SGLT2 inhibitors had a favorable effect on left ventricular systolic and diastolic function in patients with T2DM.
Modeling of Proximity-Based Expectations

Expectations play a crucial role in many domains, including HMI. In this paper we examine a specific type of expectations resulting from the proximity of interface control elements. We briefly present the results of an experimental smart phone task that manipulated the relationship between control element proximity and the closeness of the corresponding goals. We present a modeling approach for proximity-based expectations and compare model predictions from an ACT-R model and experimental results.
Motion Alone Displacement Dissociated From the Influence of Position Perception : Influence of Motion With

[PDF] [Full Text] [Abstract] , July 9, 2009; 9 (7): . J Vis Ryota Kanai, Thomas A. Carlson, Frans A. J. Verstraten and Vincent Walsh Perceived timing of new objects and feature changes [PDF] [Full Text] [Abstract] , December 8, 2009; 9 (13): . J Vis Daniel Linares, Alex O. Holcombe and Alex L. White = 70 ms) SD temporal precision ( Where is the moving object now? Judgments of instantaneous position show poor [PDF] [Full Text] [Abstract] , December 5, 2011; 11 (5): . J Vis Shin'ya Nishida 2010 − Advancement of motion psychophysics: Review 2001
CuFusion2: Accurate and Denoised Volumetric 3D Object Reconstruction Using Depth Cameras

The 3D object reconstruction from depth image streams using Kinect-style depth cameras has been extensively studied. In this paper, we propose an approach for accurate camera tracking and volumetric dense surface reconstruction, assuming that a known cuboid reference object is present in the scene. Our contribution is threefold. First, we maintain the drift-free camera pose tracking by incorporating the 3D geometric constraints of the cuboid reference object into the image registration process. Second, we reformulate the problem of depth stream fusion as a binary classification problem, enabling high-fidelity surface reconstruction, especially in the concave zones of objects. Third, we further present a surface denoising strategy to mitigate the topological inconsistency (e.g., holes and dangling triangles), which facilitates the generation of a noise-free triangle mesh. We extend our public dataset CU3D with several new image sequences, test our algorithm on these sequences, and quantitatively compare them with other state-of-the-art algorithms. Both our dataset and our algorithm are available as open-source content at https://github.com/zhangxaochen/CuFusion for other researchers to reproduce and verify our results.
Global advertising market of eco-friendly products in developing countries: A review of the current trends and prospects

The analysis of the current trends and future prospects of extension of advertising market of eco-friendly products in developing countries at the world level is carried out in the article. In particular, the assessment of the current structure of world advertising market of eco-friendly products is made. The determination of retrospective tendencies of development of advertising market of eco-friendly products in developing countries on the example of Ukraine is carried out. The identification of prospective volumes of advertising market of eco-friendly products in developing countries is given. The complex of actions allowing stimulating advertising activity concerning eco-friendly products in developing countries with the prospect of increase of their share within the world advertising market of eco-friendly products is offered.
Introduction to the K-Means Clustering Algorithm Based on the Elbow Method

The K-means clustering algorithm is a commonly used algorithm in the financial field, and it is also an unsupervised learning algorithm. It is characterized as an easy and simple algorithm and is widely used in the fields such as machine learning and stock trading. However, the K-means algorithm also has certain shortcomings. The k value is difficult to determine, and the initial center of the cluster is difficult to find. This article introduces the idea of K-means algorithm, using the elbow method to find the most suitable k value.
Prevalence and Potential Determinants of Insomnia Disorder in the General Population of Qatar

Prevalence of Insomnia In a Western general population samples, the reported prevalence ranges between 4.4% and 11.7% (Ohayon, 2011). In the Middle East, higher prevalence estimates come from primary care, where it is estimated at 60.1% (Awadalla & Al‐Musa, 2019), and 77.7% in other clinical populations (Ahmed et al., 2017). In Qatar, the only available prevalence of insomnia is among soccer players at 27% (Khalladi et al., 2019). Data Collection & Sample The data have been collected by SESRI, as a part of the Annual Omnibus Survey in 2019. Face‐to‐face interviews were conducted using computer‐assisted personal interviewing (CAPI). A total of N= 1611 completed the interviews including Arab and non‐Arab speaking adults
BIM integration in education: A case study of the construction technology project Bolt Tower Dolni Vitkovice

Abstract Building information modeling (BIM) can support effectiveness during many activities in the AEC industry. even when processing a construction-technological project. This paper presents an approach how to use building information model in higher education, especially during the work on diploma thesis and it supervision. Diploma thesis is project based work, which aims to compile a construction-technological project for a selected construction. The paper describes the use of input data, working with them and compares this process with standard input data such as printed design documentation. The effectiveness of using the building information model as a input data for construction-technological project is described in the conclusion.