Miracle-dz/UniFAR-FTUs huggingface dataset:
Visualization of Arabic Entities in Online Social Media using Machine Learning

In recent years, the use of social media and the amount of exchangeable data have increased considerably. The increase in exchangeable data makes data mining, analysis and visualization of relevant information a challenging task. This research work assesses, categorizes, and analyzes Arabic entities on social media selected by users at certain time intervals. To accomplish this aim, the authors built a highly efficient classification model to classify entities according to three categories: person, location, and organization. The developed model captures an entity and specific time, collects all the posts on tweeter that refer to the entity at this specific time, and then classifies, visualize the entity through three methods. It first starts with classifying the entity through a corpus model that depends on customized corpus. If the entity is not classified through that model, it will be send to an indicators model which uses the pre-indicators or post-indicators for classing. Finally, the entity is passed to a gazetteer model which searches for the entity in three gazetteers (person, location, and organization), and accordingly determines the number of times the entity reference is repeated. This work allows scholars and researchers in different fields to visualize the frequency of entities referenced by a community. It also compares how references to entities change over time. The experimental results show that accuracy of the developed model in classifying the tweets is nearly 90%.
An Optimization Method for Mobile Edge Service Migration in Cyberphysical Power System

To relieve the pressure of processing computation-intensive applications on mobile devices and avoid high latency during data transmission, edge computing is proposed to solve this problem. Mobile edge computing (MEC) allows the deployment of MEC servers at the edge of the network to interact with users on the premise of low transmission delay, thereby improving the quality of service (QoS) for users. However, due to the high mobility of users, with the continuous change of geographical location, when users exceed the signal range of the MEC server, the services they request on the MEC server will also be migrated to other MEC servers. The handoff process may involve high response delays caused by service forwarding, thereby greatly degrading QoS. For the above problems, in this paper, a service migration optimization method based on transmission power control is proposed. First, according to the transmission power of the MEC server, the user’s activity range is divided into multiple subregions based on a Voronoi diagram. Therefore, there is one MEC server in each subregion, and the size of each subregion is adjusted by controlling the transmission power of the MEC server to minimize the number of wireless handoffs and the energy consumption of the MEC server. Then, the particle swarm optimization (PSO) is adopted to solve the above multiobjective optimization problem. Finally, the effectiveness of the proposed method is verified through extensive experiments.
Using DPI and Statistical Analysis in Encrypted Network Traffic Monitoring

The pervasive use of encrypted protocols and new communication paradigms based on mobile and home IoT devices has obsoleted traffic analysis techniques that relied on clear text analysis. This has required new monitoring metrics being able to characterise, identify, and classify traffic not just in terms of network protocols but also behaviour and intended use. This paper reports the lessons learnt while analysing traffic in both home networks and the Internet, and it describes how monitoring metrics used in experiments have been implemented on an open source toolkit for deep packet inspection (DPI) and traffic analysis developed by the authors. The validation process confirmed that combining the proposed metrics with DPI, it is possible to effectively characterise and fingerprint encrypted traffic generated by home IoT and non-IoT devices, paving the way to next generation DPI toolkit development.
The microcalorimetry of lipid membranes

Insight into the forces governing a system is essential for understanding its behaviour and function. Calorimetric investigations provide a wealth of information that is not, or is hardly, available by other methods. This paper reviews calorimetric approaches and assays for the study of lipid vesicles (liposomes) and biological membranes. With respect to the instrumentation, differential scanning calorimetry (DSC), pressure perturbation calorimetry (PPC), isothermal titration calorimetry (ITC) and water sorption calorimetry are considered. Applications of these techniques to lipid systems include the measurement of thermodynamic parameters and a detailed characterization of the thermotropic, barotropic, and lyotropic phase behaviour. The membrane binding or partitioning of solutes (proteins, peptides, drugs, surfactants, ions, etc) can also be quantified. Many calorimetric assays are available for studying the effect of proteins and other additives on membranes, characterizing non-ideal mixing, domain formation, stability, curvature strain, permeability, solubilization, and fusion. Studies of membrane proteins in lipid environments elucidate lipid–protein interactions in membranes. The systems are described in terms of enthalpic and entropic forces, equilibrium constants, heat capacities, partial volume changes etc, shedding light also on the stability of structures and the molecular origin and mechanism of structural changes.
The real interest parity (RIP) condition states that the interest rate differential between two economies is equivalent to the differential between the forward exchange rate and the spot exchange rate

The real interest parity (RIP) condition states that the interest rate differential between two economies is equivalent to the differential between the forward exchange rate and the spot exchange rate. This study examines the integration of financial markets in the GCC countries by verifying the validity of RIP in their economies. Using univariate and different panel unit root tests, we find evidence supporting the RIP theory, which indicates that the financial markets in these countries are well integrated and that the adoption of a common currency would be relatively easy.
Convenience of using polystyrene cells in voltammetric analysis of metal ions

The convenience of using commercial vessels of polystyrene as voltammetric cells in the study of ZnII, CdII, PbII, CuII and CoII has been confirmed by means of differential-pulse anodic stripping voltammetry. Polystyrene cells were used in the study of the system Zn–PMA (polymethacrylic acid) in order to minimize the effect of adsorption onto the cell material.
JSON Tiles: Fast Analytics on Semi-Structured Data

Developers often prefer flexibility over upfront schema design, making semi-structured data formats such as JSON increasingly popular. Large amounts of JSON data are therefore stored and analyzed by relational database systems. In existing systems, however, JSON's lack of a fixed schema results in slow analytics. In this paper, we present JSON tiles, which, without losing the flexibility of JSON, enables relational systems to perform analytics on JSON data at native speed. JSON tiles automatically detects the most important keys and extracts them transparently - often achieving scan performance similar to columnar storage. At the same time, JSON tiles is capable of handling heterogeneous and changing data. Furthermore, we automatically collect statistics that enable the query optimizer to find good execution plans. Our experimental evaluation compares against state-of-the-art systems and research proposals and shows that our approach is both robust and efficient.
Déformation à l'échelle cristallographique d'alliages à base de nickel mono- et polycristallins par choc laser en mode confiné

Le traitement de grenaillage photonique par choc laser vise a ecrouir un materiau et a y introduire des contraintes residuelles de compression en vue d'ameliorer ses proprietes mecaniques. Dans le cas de superalliages aeronautiques a base de nickel, on attend une augmentation de la tenue en fatigue. On traite ici de la deformation induite par le choc grâce a une etude microstructurale fondee sur l'observation des microreliefs de surface dans la zone traitee. Ceux-ci sont interpretes comme le resultat de l'evolution cristallographique du materiau soumis au choc. Les phenomenes de glissement, sont, en particulier, precisement identifies. Plus generalement, les heterogeneites de surface dans les differentes parties de l'impact sont expliquees a la lumiere de resultats sur la propagation des ondes de detente de surface et sur la creation de contraintes residuelles. Deux superalliages a base de nickel, l'AM1 monocristallin et l'Inconel 718 polycristallin, ont ete etudies.
Author response for "Remarkably similar migration patterns between different red‐backed shrike populations suggest that migration rather than breeding area phenology determines the annual cycle"

www.avianbiology. org Journal of Avian Biology 2 20: e 2475 The regular fluctuation of resources across the Globe guides movements of migratory animals. To ensure sufficient reproductive output and maintain viable population sizes, migratory animals should match arrival at breeding areas with local peaks in resource availability. It is generally assumed that breeding phenology dictates the timing of the annual cycle, but this is poorly studied. Here, we use light-level geolocator tracking data to compare the annual spatiotemporal migration patterns of a longdistance migratory songbird, the red-backed shrike, Lanius collurio, breeding at widely different latitudes within Europe. We find that populations use remarkably similar migration routes and are highly synchronized in time. Additional tracks from populations breeding at the edges of the European range support these similar migration patterns. When comparing timing of breeding and vegetation phenology, as a measure of resource availability across populations, we find that arrival and timing of breeding corresponds to the peak in vegetation greenness at northern latitudes. At lower latitudes birds arrive simultaneously with the more northerly breeding populations, but after the local greenness peak, suggesting that breeding area phenology does not determine the migratory schedule. Rather, timing of migration in red-backed shrikes may be constrained by events in other parts of the annual cycle.
CREATES Research Paper 2009-49 Realized Volatility and Multipower Variation

This paper reviews basic notions of return variation in the context of a continuous-time arbitrage-free asset pricing model and discusses some of their applications. We first define return variation in the infeasible continuous-sampling case. Then we introduce realized measures obtained from high-frequency observations which provide consistent and asymptotically normal estimates of the underlying return variation. The paper discusses applications of these measures for reduced-form volatility modeling and forecasting as well as testing for the presence of jumps.
Evaluating AMR-to-English NLG Evaluation Emma Manning

represents the sentence “Georgia labeled Russia’s support an act of annexation. ” AMR does not represent some morphological and syntactic details such as tense, number, definiteness, and word order; thus, this same AMR could also represent alternate phrasings such as “Russia’s support is being labeled an act of annexation by Georgia. ” AMR generation is the task of generating a sentence in natural language (in this case, English) from an AMR graph. Like other Natural Language Generation (NLG) tasks, this is difficult to evaluate due to the range of possible valid sentences corresponding to any single AMR. AMR generation systems are often evaluated only with automatic metrics such as BLEU (Papineni et al., 2002) that compare a generated sentence to a single human-authored reference; for AMR, this is the sentence from which the AMR graph was created. However, there is evidence that these metrics may not be a good representation of human judgments for AMR generation (May and Priyadarshi, 2017) and NLG in general. Thus, we present a new human evaluation of several recent AMR generation systems, most of which had not previously been manually evaluated. System F↑ A↑ INC↓ MI↓ AI↓ Konstas 78.14 1 81.46 1 10.0 34.5 12.0 Zhu 71.61 2 74.13 2 15.5 36.0 25.5 Ribeiro 67.05 3 64.37 4 19.5 47.0 31.5 Guo 62.13 4 68.52 3 22.0 41.0 21.5 Manning 36.89 5 54.10 5 57.5 17.5 9.0 Reference 87.56 93.68 5.0 4.5 10.0
Document de travai

Using Institutional Investors (I/I) and Extel rankings and I/B/E/S data for European analysts over 15 years, we show that European analyst rankings are determined more by popularity than by intrinsic skills, the first determinant of recognition being employer size. Becoming an I/I star is like joining a club: talent for issuing high-quality recommendations is required to be initially ranked but is irrelevant to being re-elected or reaching the top level. Our findings also underline the importance of analyst rankings’ design features. These features could probably be improved by reducing the impact of recognition in the election process. JEL Classification: G17
Best Practices and Metrics for Virtual Reality User Interfaces

Virtual Reality (VR) technology has become increasingly effective and accessi­ ble within the past decade [15]. With this increase in the technology’s preva­ lence and cultural significance, certain interaction techniques and design choices have emerged as the most widely used and recommended. This research effort employs a VR experiment in which multiple selection methods, interface place­ ments, and navigation techniques are compared side-by-side, and performance metrics and preference data are collected. Both best practice and to-be-avoided methods are examined, and the performance and preference data is analyzed. Determinations made based on the data gathered are partly in-line with expec­ tations according to best practices, partly inconclusive, and partly contrary to the expected performance and preference results. Results suggest that virtual laser pointers and tapping are equally recommendable selection methods for most VR experiences, hand-mounted menus produce the best results overall, and despite performance advantages, joystick navigation should be avoided in VR due to user comfort concerns.
Conquering Hypertension in Vietnam- Solutions at Grassroots Level: Study Protocol of a Cluster Randomized Controlled Trial

Duc Ha Vietnam Ministry of Health Oanh Tran Health Strategy and Policy Institute Hoa Nguyen (  hoa.nguyen@umassmed.edu ) Baylor Scott and White Research Institute https://orcid.org/0000-0002-4998-8510 Robert Goldberg University of Massachusetts Medical School German Chiriboga University of Massachusetts Medical School Van Phan Health Strategy and Policy Institute Cuc Nguyen Health Strategy and Policy Institute Giang Nguyen Health Strategy and Policy Institute Hien Pham Health Strategy and Policy Institute Thang Nguyen Health Strategy and Policy Institute Thanh Le National Heart Institute Jeroan Allison University of Massachusetts Medical School
Effective Capacity Maximization in beyond 5G Vehicular Networks: A Hybrid Deep Transfer Learning Method

How to improve delay-sensitive traffic throughput is an open issue in vehicular communication networks, where a great number of vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) links coexist. To address this issue, this paper proposes to employ a hybrid deep transfer learning scheme to allocate radio resources. Specifically, the traffic throughput maximization problem is first formulated by considering interchannel interference and statistical delay guarantee. The effective capacity theory is then applied to develop a power allocation scheme on each channel reused by a V2I and a V2V link. Thereafter, a deep transfer learning scheme is proposed to obtain the optimal channel assignment for each V2I and V2V link. Simulation results validate that the proposed scheme provides a close performance guarantee compared to a globally optimal scheme. Besides, the proposed scheme can guarantee lower delay violation probability than the schemes aiming to maximize the channel capacity.
Atom transfer radical polymerization of methyl acrylate with molybdenum halides as catalysts in an ionic liquid

The atom transfer radical polymerization of methyl acrylate in 1-butyl-3-methylimidazolium hexafluorophosphate was studied with a molybdenum halide catalytic system. A combination of a bromine-containing initiator (ethyl-2-bromopropionate) with a chloride-containing catalyst [MoCl3(PMe3)3/MoCl4(PMe3)3] led to a controlled polymerization, and matrix-assisted laser desorption/ionization time-of-flight analysis of the polymers indicated that the reversibly deactivated macromolecules contained both bromine and chloride end groups. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 105: 278–281, 2007
Land use management and carrying capacity of Bangsri Micro Watershed, East Java, Indonesia: a baseline study

The increase of unsustainable human activities in watershed areas gave a huge pressure, causing land degradation and reduced the river water quality. This study aimed to describe the land use management and calculate the carrying capacity as a part of natural resource management of Bangsri Micro Watershed, the upper Brantas watershed in East Java, Indonesia. Data was gathered from five villages through interviews, questionnaires, and focus group discussions with multiple stakeholders. In addition, data from the local government statistics bureau (i.e., Statistics Indonesia) was also used. From the total 2,765 ha land area, eight different land use were identified with agroforestry (970 ha) being the largest and bare land (43 ha) being the smallest. There were 17 crop patterns with 10 different commodities recorded. Based on the present land use, the total land monetary value (biocapacity) was 298 billion Indonesian Rupiah (IDR) or equal to 27,278 tonnes of rice production. From the total population of 27,645; the total annual income (i.e., ecological footprint based on the minimum wage and real household income) needed is 577-854 billion IDR (72,101-106,771 tonnes of rice), thus considered as a deficit carrying capacity value. An urgent watershed management planning is needed to reduce the environmental pressure while ensuring the fulfilment needs of the people in Bangsri Micro Watershed.
The antimicrobial properties of marjoram (Origanum majorana L.) Volatile Oil

Steam distilled volatile oil from marjoram (Origanum majorana L.) was evaluated for its antibacterial and antifungal activities. A range of 25 bacterial and five fungal species was used in this study, and included animal and plant pathogens, food poisoning bacteria and mycotoxigenic fungi. The oil exerted considerable inhibitory powers against several of the bacteria, with the food-poisoning bacterium Staphylococcus aureus being least affected. The most susceptible organisms were Beneckea natriegens, Erwinia carotovora and Moraxella sp. Of the fungi tested, Aspergillus niger proved the most susceptible to marjoram oil.
Tumor and Stem Cell Biology EpigeneticStatesofCells ofOrigin andTumorEvolutionDrive Tumor-Initiating Cell Phenotype and Tumor Heterogeneity

A central confounding factor in the development of targeted therapies is tumor cell heterogeneity, particularly in tumor-initiating cells (TIC), within clinically identical tumors. Here, we show how activation of the Sonic Hedgehog (SHH) pathway in neural stem and progenitor cells creates a foundation for tumor cell evolution to heterogeneous states that are histologically indistinguishable but molecularly distinct. In spontaneous medulloblastomas that arise in Patched (Ptch)þ/ mice, we identified three distinct tumor subtypes. Through cell type– specific activation of the SHH pathway in vivo, we determined that different cells of origin evolved in unique ways to generate these subtypes.Moreover, TICs in each subtype had distinctmolecular and cellular phenotypes. At the bulk tumor level, the three tumor subtypes could be distinguished by a 465-gene signature and by differential activation levels of the ERK and AKT pathways. Notably, TICs fromdifferent subtypes were differentially sensitive to SHHor AKTpathway inhibitors, highlighting newmechanisms of resistance to targeted therapies. In summary, our results show how evolutionary processes act on distinct cells of origin to contribute to tumoral heterogeneity, at both bulk tumor and TIC levels. Cancer Res; 74(17); 4864–74. 2014 AACR.
Path Planning for Smart Car Based on Dijkstra Algorithm and Dynamic Window Approach

School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, China Fujian Key Laboratory of A.E. D, Fujian University of Technology, Fuzhou 350118, China National Demonstration Centre for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Fuzhou 350118, China School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
RigidFusion: RGB‐D Scene Reconstruction with Rigidly‐moving Objects

Although surface reconstruction from depth data has made significant advances in the recent years, handling changing environments remains a major challenge. This is unsatisfactory, as humans regularly move objects in their environments. Existing solutions focus on a restricted set of objects (e.g., those detected by semantic classifiers) possibly with template meshes, assume static camera, or mark objects touched by humans as moving. We remove these assumptions by introducing RigidFusion. Our core idea is a novel asynchronous moving‐object detection method, combined with a modified volumetric fusion. This is achieved by a model‐to‐frame TSDF decomposition leveraging free‐space carving of tracked depth values of the current frame with respect to the background model during run‐time. As output, we produce separate volumetric reconstructions for the background and each moving object in the scene, along with its trajectory over time. Our method does not rely on the object priors (e.g., semantic labels or pre‐scanned meshes) and is insensitive to the motion residuals between objects and the camera. In comparison to state‐of‐the‐art methods (e.g., Co‐Fusion, MaskFusion), we handle significantly more challenging reconstruction scenarios involving moving camera and improve moving‐object detection (26% on the miss‐detection ratio), tracking (27% on MOTA), and reconstruction (3% on the reconstruction F1) on the synthetic dataset. Please refer the supplementary and the project website for the video demonstration (geometry.cs.ucl.ac.uk/projects/2021/rigidfusion).