Miracle-dz/UniFAR-FTUs huggingface dataset:
MAJOR CHEMICAL DISASTERS IN EGYPT AND ABROAD PART 1:ABROAD

Generally, the term disaster means sudden great misfortune and it is a destructive event that results in the need for a wide range of an emergency resources. Occurrence of disasters invariably has profound implication for public health. Disasters may be classified into natural, as floods and earthquakes, technological which are associated with industries and conflict-related disaster which are, usually, related to wars and revolutions. In this article we are essentially concerned with chemical disasters, although other causes are important. We may discuss such causes in other articles.The chemical disasters may occur suddenly or gradually according to their results or events. There is a surprising fact that about 50% of acute disasters are due to unplanned transportation of chemicals.The worst of acute chemical disasters happened in Bhopal, India (1984) where more than 2500 died and more than 250000 suffered due to the exposure of the people of Bhopal to the released methyl isocyanate pesticide. Another sudden episode occurred in Seveso, Italy (1976) where about 37000 persons were injured due to exposure to polychlorinated dibenzo-p-dioxin. There were many gradual or insidious episodes, but we shall choose the most famous ones according to their place of occurrence, for example, Karkola, Finland (1930), Japan (two episodes,1939 and 1953) ,Turkey (1956), Iraq (1971), Love Canal, NewYork (1976) and Spain (1981). Other worldwide occurrence of medical problems for example, acute air pollution episodes, polychlorinated biphenyls and their dangerous effects will be discussed.
Mississippi Canyon 252 Incident NRDA Tier 1 for Deepwater Communities

Two complementary interagency studies, known as Lophelia II, are currently investigating cold-water corals in the GOM. These efforts include the MMS/NOAA OER-funded project formally titled Exploration and Research of Northern Gulfof Mexico Deepwater Natural and Artificial Hard Bottom Habitats with Emphasis on Coral Communities: Reefs, Rigs and Wrecks and the USGS-funded Deepwater Program: Lophelia II: Continuing Ecological Research on Deep-Sea Corals and Deep Reef Habitats in the Gulf of Mexico.
Ecological interfaces: A technological imperative in high-tech systems?

The topic of the present article is the design of ecological interfaces for advanced technological systems. Ecological interfaces are characteristic by representing the interior functional structures and states of a system in the human‐machine interface in a way that matches the immediate task and the cognitive characteristics of the user. It is argued that the present trend in technological development towards large, complex, and rapidly changing socio‐technical systems makes these kinds of interfaces important for system reliability and safety.
CS 224 N Default Final Project : Question Answering

This assignment can be completed in groups of up to 3 people. We encourage groups to work together productively so that all students understand the submitted system well. We ask that you abide by the university Honor Code and that of the Computer Science department, and make sure that all of your submitted work (except as acknowledged) is done by yourself and your team members only. It is fine to take ideas from other papers on question answering, but you should acknowledge them in your write-up.
N Default Final Project : Question Answering on SQuAD 2 . 0

This is version 1 of the 2019 Default Final Project handout. It was released on Thursday February 7 to help students write their project proposals. We will release a final version of this document (version 2), including leaderboard submission instructions, no later than Thursday February 21. In the meantime, this document may undergo minor updates (check timestamp to ensure you have the latest version).
Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment

The problem of reassembling archaeological artefacts from a collection of fragments that may include other fragments from several artefact has been addressed and widely studied. A computer-aided and collaborative approach is proposed for the reconstruction of archaeological artefacts based on the boundary-matching estimation by string registration. The matching process also may benefit from involving several distant experts to interactively to reconstruct an artefact using the Access Grid.
ISPRS Journal of Photogrammetry and Remote Sensing

In the paper, we propose a deep nonsmooth nonnegative matrix factorization (nsNMF) network with semi-supervised learning for synthetic aperture radar (SAR) image change detection. In most of the existing deep-NMF-based models, the nonnegative matrix is linearly decomposed layer by layer, which may fail to characterize the nonlinearities in complex data. As such, a nonlinear deep nsNMF model is first built for learning hierarchical, nonlinear, and localized data representations. Meanwhile, in view of its good generalization performance and low computational complexity, extreme learning machine (ELM) is integrated into the nonlinear deep nsNMF model to construct a deep nsNMF network for satisfactory classification. More importantly, since it is difficult to acquire more labeled samples in practice, semi-supervised learning strategy is proposed to make use of partially labeled data for training. The learning process of the proposed network consists of pretraining stage and fine-tuning stage , in which the former pretrains all decomposed matrices layer by layer and the latter aims to reduce the total reconstruction error by using the mini-batch gradient descent algorithm. The experimental results on four pairs of SAR images demonstrate the effectiveness of the proposed method.
Advanced Digital Logic Design Using VHDL, State Machines, and Synthesis for FPGA's

This textbook is intended to serve as a practical guide for the design of complex digital logic circuits such as digital control circuits, network interface circuits, pipelined arithmetic units, and RISC microprocessors. It is an advanced digital logic design textbook that emphasizes the use of synthesizable Verilog code and provides numerous fully worked-out practical design examples including a Universal Serial Bus interface, a pipelined multiply-accumulate unit, and a pipelined microprocessor for the ARM THUMB architecture.
Looking at People

The ability to recognize humans and their activities by vision is key for a machine to interact intelligently and effortlessly with a human-inhabited environment. Because of many important applications, “Looking at People" is currently the most active application domain in computer vision. This talk provides an overview of recent developments, with focus on methodologies for detecting, tracking people and recognizing their activities.
FastMapping: software para mapeo de variabilidad en dominios espaciales continuos

Resumen. La difusión de tecnologías agrícolas que producen datos espaciales ha generado la necesidad de herramientas informáticas integradas para el mapeo de variabilidad espacial a escala fina. Para obtener un mapa de rendimiento se usan diferentes software para depurar datos y predecir el rendimiento en lugares sin registro. FastMapping implementa herramientas estadísticas para la depuración de datos espaciales, ajusta y selecciona cuasi automáticamente variogramas para realizar y mapear la variable de interés por interpolación kriging. Es una aplicación web interactiva, con una interfaz amigable desarrollada en lenguaje R. Los usuarios pueden obtener el mapa de rendimiento o suelo para un lote agrícola, así como un mapa varianza de predicción y estadísticas de error de predicción sin necesidad de manipular códigos de programación. FastMapping se encuentran disponibles en forma libre en http://fastmapping.psi. unc.edu. ar/
International Journal of Emerging Science and Engineering

10 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: H2463036820/2020©BEIESP DOI: 10.35940/ijese.H2463. 036820 Abstract: Generalised Frequency Division Multiplexing (GFDM) is utilized in the fifth era cell organize as opposed to the Orthogonal Frequency Division Multiplexing (OFDM) since GFDM has numerous appealing highlights like heartiness towards recurrence particular blurring, simple execution and sensible, and so forth. GFDM has just a single cyclic prefix (CP) for a lot of images in a period OFDM it uses a solitary CP per image. Right now, research the effects of nonlinear mutilation on the different information numerous yield (MIMO)GFDM framework when the sign is passed the HPA, which is displayed with sufficiency and stage contortion. The execution of the proposed strategy is resolved as far as range investigation, PAPR examination, and bit blunder rate (BER) investigation. The recreation results show that the proposed plan prevails with regards to making up for nonlinear contortions brought about by the HPA for huge contribution back-off (IBO) values.
Nonlinear Distortion Effects In Generalized Frequency Division Multiplexing

: Generalised Frequency Division Multiplexing (GFDM) is utilized in the fifth era cell organize as opposed to the Orthogonal Frequency Division Multiplexing (OFDM) since GFDM has numerous appealing highlights like heartiness towards recurrence particular blurring, simple execution and sensible, and so forth. GFDM has just a single cyclic prefix (CP) for a lot of images in a period OFDM it uses a solitary CP per image. Right now, research the e ﬀ ects of nonlinear mutilation on the different information numerous yield (MIMO)- GFDM framework when the sign is passed the HPA, which is displayed with sufficiency and stage contortion. The execution of the proposed strategy is resolved as far as range investigation, PAPR examination, and bit blunder rate (BER) investigation. The recreation results show that the proposed plan prevails with regards to making up for nonlinear contortions brought about by the HPA for huge contribution back-o ﬀ (IBO) values.
NSA simplification algorithm: geometrical vs. visual quality

The model simplification algorithms have a great interest in a variety of areas, since it allow the replacement of large models by approximations with far fewer cells for manipulation and visualization purposes. The quality of the simplified models and the execution times are the main aspects to distinguish the algorithms. Normally the quality evaluation is based on the analysis of geometrical errors of the simplified models but it is not enough to evaluate the visual quality of simplified models. This paper presents a edge collapsing-based simplification algorithm, called NSA, for polygonal models that is faster than the other algorithms found in the literature that use the edge collapse operation. However it makes a good trade-off between time performance and mesh quality. Besides, in some cases, the visual quality of simplified models created by NSA algorithm is superior to the visual quality of simplified models created by other algorithms, particularly for models that have planar zones (CAD models). Some results are compared between NSA and QSlim algorithms to illustrate the geometrical and visual quality of simplified models.
. y x h Unknown HS Images : Modulation Matrix : Coded Sensor Image :

This paper proposes a novel compressive hyperspectral (HS) imaging approach that allows for high-resolution HS images to be captured in a single image. The proposed architecture comprises three key components: spatial-spectral encoded optical camera design, over-complete HS dictionary learning and sparse-constraint computational reconstruction. Our spatial-spectral encoded sampling scheme provides a higher degree of randomness in the measured projections than previous compressive HS imaging approaches; and a robust nonlinear sparse reconstruction method is employed to recover the HS images from the coded projection with higher performance. To exploit the sparsity constraint on the nature HS images for computational reconstruction, an over-complete HS dictionary is learned to represent the HS images in a sparser way than previous representations. We validate the proposed approach on both synthetic and real captured data, and show successful recovery of HS images for both indoor and outdoor scenes. In addition, we demonstrate other applications for the over-complete HS dictionary and sparse coding techniques, including 3D HS images compression and denoising. CR Categories: I.4. 1 [Image Processing and Computer Vision]: Digitization and Image Capture—Sampling
Screening of hydrocarbon degrading fungi in crude oil polluted soil isolated in the Niger Delta

Bioremediation has been argued to be cheaper and more environmental friendly when compared to other remediation technology. Bioremediation make use of the ability of bacteria and fungi to biodegrade organic compound to cleanup hydrocarbon pollution. Many fungi have been shown to biodegrade simple and complex polycyclic aromatic hydrocarbon. In this study, petroleum hydrocarbon degrading fungi have been isolated and identified by microscopic and macroscopic methods in oil polluted soil. The polluted soil samples were collected from an oil polluted site within an oil bearing community in Bayelsa state of Nigeria. Eight different strains of fungi were isolated and identified and they include, Penicillium spp, Candida species, Aspergillus niger, Mucor spp, Rhodotorulla spp, Rhizopus, Trichorderma spp and Cladospermorium spp. Population of hydrocarbon degrading fungi, isolated from the soil collected in three different sampling stations are 5.3x104, 8.3x103 and 2.51x104 Cfu/g for station 1, 2 and 3, respectively. While total hetetrophilic fungi are 3.6x105, 7.1x105, and 9.51x106. Cfu/g, Penicillium spp , A. niger, Mucor spp, Rhodotorulla spp, Rhizopus, Phanerochaete spp, Alternaria alternate, Fusarium spp are strains of fungi that have been discovered by different scholars to degrade different components of petroleum. This study has revealed that oil polluted soil in the Niger Delta is habited by hydrocarbon degrading fungi, which can be biostimulated to enhance oil pollution cleanup in the area. Key words: Bioremediation, biodegradation, fungi, polluted soil biostimulate, isolated and identified.
Organizational Dynamics in Shared IT Leadership at Coal Mining Industry: A Case Study

The mining industry has faced intense challenges and disruptions from global trends. The mining industry needs to perform a transformation to survive. The important thing for mining companies in technological adoption is digital transformation. XYZ is a holding company with many subsidiaries with primary businesses in the coal mining sector spread throughout Indonesia. As part of digital transformation, one of the company's initiatives is to centralize IT resources into one organization, with the objective can share its utilization with all subsidiaries. IT's centralization and shared services caused problems, such as human resources in different company ownership, budget allocation among companies, and the structure of financing and utilization of IT resources for use. The problem was solved by mapping all the components' IT roles at the company based on the framework created by Applegate, Austin, and Soule. Mapping the role of IT in this company can be used as a guideline to make organizational change. Organizational changes that need to be done base on analysis is to change the structure of the organization of IT into a bimodal model, its combination between the Functional-Lean model and Matrix-Agile model. The Functional-Lean model provides organizations as a function to keep lean but can deliver high standard services and keep it stable. The Matrix-Agile model can provide agility for the organization to develop new and run projects. IT Governance at XYZ will use the Federal model.
On Energy Reduction in Hard Real-Time Systems Containing Tasks with Stochastic Execution Times

 This paper addresses low energy scheduling in hard real-time systems, containing independent tasks running on dynamic voltage supply (DVS) processors. Since tasks with probabilistic run times are more realistic, we focus on systems containing such tasks. We show that the energy consumption can be reduced if the scheduling takes into account the probabilistic behavior of the tasks. Moreover, stochastic data can be used in deriving schedules both for task sets and individual tasks. First we address task-set level scheduling for two cases. Then we analyze two task-level voltage scheduling approaches: intra-task scheduling and our method called stochastic scheduling. The examples and experimental results presented throughout the paper support our conclusion.
Trajectory Modeling based on HMMs with the Explicit Relationship between Static and Dynamic Features

This paper shows that the HMM whose state output vector includes static and dynamic feature parameters can be reformulated as a trajectory model by imposing the explicit relationship between the static and dynamic features. The derived model, named trajectory HMM, can alleviate the limitations of HMMs: i) constant statistics within an HMM state and ii) independence assumption of state output probabilities. We also derive a Viterbi-type training algorithm for the trajectory HMM. A preliminary speech recognition experiment based on N -best rescoring demonstrates that the training algorithm can improve the recognition performance signiﬁcantly even though the trajectory HMM has the same parameterization as the standard HMM.
Active Database Systems: Triggers and Rules for Advanced Database Processing

From the Publisher: Active database systems enhance traditional database functionality with powerful rule-processing capabilities, providing a uniform and efficient mechanism for many database system applications. Among these applications are integrity constraints, views, authorization, statistics gathering, monitoring and alerting, knowledge-based systems, expert systems, and workflow management. This significant collection focuses on the most prominent research projects in active database systems. The project leaders for each prototype system provide detailed discussions of their projects and the relevance of their results to the future of active database systems. Features: A broad overview of current active database systems and how they can be extended and improved A comprehensive introduction to the core topics of the field, including its motivation and history Coverage of active database (trigger) capabilities in commercial products Discussion of forthcoming standards
W&M ScholarWorks W&M ScholarWorks

: 'What can be determined about the demographic cha::acteristics, beliifs about teaching, degrees of :nnovativeness, and world views of classroom uaci-xrs and specialists who use Internet-based :elecomputing tools? This study correlated data representing a year of online use with responses to questionnaire items about teacher beliifs cmd den:;ographics for 558 respondents from a sample of 1.000 randomly selected Internet account holder~ on TENET, the statewide K -12 educational :elecomputing network in Texas. Results showed sign~tlcant correlations among beliifs about teach :ng, personal perceptions of innovativeness, and w:>rld views; respondents who were more student centered in their beliifs about teaching perceived themsdves to be more innovative and tended to see 3Je world in a more social constructivist way thar. respondents with more traditional beliifs about ~eachir.g. Yet no strong significant correlatiJns benvee,; telecomputing activity and beliifs or demo g;aphic information were found. In the case of this stu~, the absence of significant relationships was e:;en tr.ore iriformative than the correlations detea::d, . ->nd it leads us to recommend further study to ::ee if these patterns can be confirmed, so that rhcy un be acted upon. (Keywords: beliifs about reaching, demographics, innovativeness, In~ernet ase, tdecomputing, world views.)
Novel Development and Prospects in Pathogenesis, Diagnosis, and Therapy of Alzheimer’s Disease

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease with cognitive decline and behavioral dysfunction. AD will become a global public health concern due to its increasing prevalence brought on by the severity of global aging. It is critical to understand the pathogenic mechanisms of AD and investigate or pursue a viable therapy strategy in clinic. Amyloid-β (Aβ) accumulation and abnormally hyperphosphorylated tau protein are the main regulating variables in the pathological phase of AD. And neuroinflammation brought on by activated microglia was found to be one risk factor contributing to changes in Aβ and tau pathology. It is important to investigate the unique biomarkers of early diagnosis and advanced stage, which may help to elucidate the specific pathological process of AD and provide potential novel therapeutic targets or preventative measures.
Liquid Sloshing Damping in an Accelerated Tank Using a Novel Slot-Baffle Design

A slot-baffle design used in water treatment tanks previously developed by the authors is used to suppress sloshing effects in an accelerated tank. This new application is another example of the versatility of the slot-baffle design in inducing turbulence in fluid flow systems, which has numerous uses in engineering applications. Large amplitude surface waves in a harmonically excited tank are simulated using a second-order accurate numerical model in OpenFOAM. The verification of the numerical model is performed by comparing the numerical results with existing laboratory measurements, which show a favorable agreement. Various slot configurations are studied in order to evaluate the damping performance during the external excitation of the tank. It is shown that the present design shows an effective dissipation performance in a broad range of oscillation frequencies, while 88% of the internal kinetic energy of the liquid is dissipated over thirty oscillation periods for the resonance case.
Electronic Voting System using Mobile Terminal

Electronic voting (E-voting) using an internet has been recently performed in some nations and regions. There is no spatial restriction which a voter directly has to visit the polling place, but an e-voting using an internet has to go together the computer in which the internet connection is possible. Also, this voting requires an access code for the e-voting through the beforehand report of a voter. To minimize these disadvantages, we propose a method in which a voter, who has the wireless certificate issued in advance, uses its own cellular phone for an e-voting without the special registration for a vote. Our proposal allows a voter to cast his vote in a simple and convenient way without the limit of time and location, thereby increasing the voting rate, and also ensuring confidentiality and anonymity. Keywords—Voting, mobile terminal, confidentiality, anonymity.
Stereo vision for Robotics

The human eye-brain system is responsible for the highest percentage of sensory data from the environment. A major part of this system which is unique to all predator species (including man) is the ability to perceive distance of various objects using their two eyes. This is one of the primary reasons that man and other predators have both their eyes on the same side of their head (i.e. front) unlike those in herbivore species like cows, goats, rabbits etc. The phenomenon of calculation of distance using only optical aids (namely the 2 eyes) is known as Binocular Depth Perception or stereo vision The importance of judging distance is apparent in comprehending and manipulating a 3-D environment, which is why it is so crucial in modern robotics. We intend to replicate the effect in software using 2 web cameras for image acquisition (instead of the eyes) using conventional/new methods in this paper. We have tried to find solution to two problems 1) Point correspondence problem 2) Stereo Triangulation Problem After solving these two problems, all that is necessary is to combine the outputs of these two to generate a 3-D depth map enumerated in any standard unit of length or distance. MATLAB was considered as the primary development tool.