Miracle-dz/UniFAR-FTUs huggingface dataset:
A Semi-Automatic and Low Cost Approach to Build Scalable Lemma-based Lexical Resources for Arabic Verbs

This work presents a method that enables Arabic NLP community to build scalable lexical resources. The proposed method is low cost and efficient in time in addition to its scalability and extendibility. The latter is reflected in the ability for the method to be incremental in both aspects, processing resources and generating lexicons. Using a corpus; firstly, tokens are drawn from the corpus and lemmatized. Secondly, finite state transducers (FSTs) are generated semi-automatically. Finally, FSTs are used to produce all possible inflected verb forms with their full morphological features. Among the algorithm's strength is its ability to generate transducers having 184 transitions, which is very cumbersome, if manually designed. The second strength is a new inflection scheme of Arabic verbs; this increases the efficiency of FST generation algorithm. The experimentation uses a representative corpus of Modern Standard Arabic. The number of semi-automatically generated transducers is 171. The resulting open lexical resources coverage is high. Our resources cover more than 70% Arabic verbs. The built resources contain 16,855 verb lemmas and 11,080,355 fully, partially and not vocalized verbal inflected forms. All these resources are being made public and currently used as an open package in the Unitex framework available under the LGPL license.
Some applications of wavelets to time series data

Some Applications of Wavelets to Time Series Data. (August 2008) Jae Sik Jeong, B.S., University of Seoul; M.S., Seoul National University Co-Chairs of Advisory Committee: Dr. Marina Vannucci Dr. David B. Dahl The objective of this dissertation is to develop a suitable statistical methodology for parameter estimation in long memory process. Time series data with complex covariance structure are shown up in various fields such as finance, computer network, and econometrics. Many researchers suggested the various methodologies defined in different domains: frequency domain and time domain. However, many traditional statistical methods are not working well in complicated case, for example, nonstationary process. The development of the robust methodologies against nonstationarity is the main focus of my dissertation. We suggest a wavelet-based Bayesian method which shares good properties coming from both wavelet-based method and Bayesian approach. To check the robustness of the method, we consider ARFIMA(0, d, 0) with linear trend. Also, we compare the result of the method with that of several existing methods, which are defined in different domains, i.e. time domain estimators, frequency domain estimators. Also, we apply the method to functional magnetic resonance imaging (fMRI) data to find some connection between brain activity and long memory parameter. Another objective of this dissertation is to develop a wavelet-based denoising technique when there is heterogeneous variance noise in high throughput data, especially protein mass spectrometry data. Since denoising technique pretty much depends on threshold value, it is very important to get a proper threshold value which involves estimate of stan-
Implications of forest management practices for sex-specific habitat use by Nycticeius humeralis

North American bats are experiencing declines in part due to anthropogenic impacts resulting in habitat loss and disturbance. In eastern deciduous forests, bats rely on forest resources for all or part of the year. Therefore, to promote conservation of bats, it is essential to determine whether current forest management techniques are compatible with habitat use by bats. We evaluated the relative effect of landscape characteristics, including forest management variables, on sex-specific foraging habitat of an insectivorous forest-dwelling bat species, the evening bat (Nycticeius humeralis), and predicted areas of suitable habitat for N. humeralis. A total of 18 variables were assessed using a maximum-entropy (Maxent) machine-learning approach: eight land use–land cover classes, three stand types, two topography measures, normalized difference vegetation index, and four forest management variables. Females showed the highest probability of presence closer to stands treated with prescribed fire, whereas males showed the highest probability of presence closer to reforested stands. In general, males exhibited more flexibility than females in their habitat selection. The Maxent model further indicated that habitat associated with suitability of > 70% was ∼4 times larger for males than females, and predicted an additional area of suitable foraging habitat where no presence locations had been recorded. Our modeling approach may be suitable for other researchers to derive models appropriate for a wide range of bat species.
Administration of troxerutin improves testicular function and structure in type-1 diabetic adult rats by reduction of apoptosis

Objective: The glucose-reducing effects of troxerutin was previously proven. This study was conducted to evaluate troxerutin effect on testicular structure and spermatozoid parameters in type-1 diabetic adult male rats. Materials and Methods: Fifty male Wistar rats were randomly classified into 5 groups as follows: control (C), troxerutin (T), diabetic (DM), troxerutin-treated DM (DT) and insulin-treated DM (DI). Testicular structure, apoptosis, lipid peroxidation and antioxidant activity, and spermatozoid parameters were assessed 4 weeks after initiation of the interventions. Results: The results revealed that diabetes caused testicular stereological changes and significantly increased blood glucose level, testicular MDA content and apoptosis but decreased insulin level, testicular GPX activity, and sperm parameters compared to controls (p<0.001 to p<0.05). Administration of troxerutin and insulin could significantly reduce blood glucose level and improve testicular MDA content, testicular stereological findings and apoptosis compared to DM group (p<0.001 to p<0.05). Conclusion: Taken together, troxerutin, comparable to insulin, effectively improved DM-induced testicular dysfunction and sperm parameters in diabetic rats and these effects might be mediated through troxerutin’s anti-apoptotic effects.
Correction of Text Character Skeleton for Effective Trajectory Recovery

One of the biggest problems of skeletonization is the occurrence of distortions at the junction point of the final binary image. At the junction area, a single point usually becomes a small stroke, and the corresponding trajectory task, as well as the OCR, consequently becomes more complicated. We therefore propose an adaptive post-processing method that uses an adaptive threshold technique to correct the distortions. Our proposed method transforms the distorted segments into a single point so that they are as similar to the original image as possible, and this improves the static handwriting images after the skeletonization process. Further, we attained promising results regarding the usage of the enhanced skeletonized images in other applications, thereby proving the expediency and efficiency of the proposed method.
Simulated ground motions for seismic risk assessment of structures

The recent advances in computational efficiency and the scarcity/absence of recorded ground motions for specific seismicity scenarios have led to an increasing interest in the use of ground motion simulations for seismic hazard analysis, structural demand assessment through response-history analysis, and ultimately seismic risk assessment. Two categories of ground motion simulations, physics-based and stochastic site-based are considered in this study. Physics-based ground motion simulations are generated using algorithms that solve the fault rupture and wave propagation problems and can be used for simulating past and future scenarios. Before being used with confidence, they need to be validated against records from past earthquakes. The first part of the study focuses on the development of rating/testing methodologies based on statistical and information theory measures for the validation of ground motion simulations obtained through an online platform for past earthquake events. The testing methodology is applied in a case-study utilising spectral-shape and duration-related intensity measures (IMs) as proxies for the nonlinear peak and cyclic structural response. Stochastic site-based ground motion simulations model the time-history at a site by fitting a statistical process to ground motion records with known earthquake and site characteristics. To be used in practice, it is important that the output IMs from the developed time-histories are consistent with these prescribed at the site of interest, something that is not necessarily guaranteed by the current models. The second part of the study presents a computationally efficient framework that addresses the modification of stochastic ground motion models for given seismicity scenarios with a dual goal of matching target IMs for specific structures, while preserving desired trends in the physical characteristics of the resultant time-histories. The modification framework is extended to achieve a match to the full probability model of the target IMs. Finally, the proposed modification is validated by comparison to seismic demand of hazard-compatible recorded ground motions. This study shows that ground motion simulation is a promising tool that can be used for many engineering applications.
Human services data standards: Current progress and future vision in crisis response

Interorganizational coordination is crucial among human services providers responsible for responding to both personal and widespread crises. Too often, however, agencies providing disaster relief, shelter, and connection to other social service systems operate in information silos. Moreover, organizations that assist the same people may be duplicating services or ineffectively providing services to those in need. In the past, there has been no easy way for human service organizations to share information about clients, resources, and services. Over the last decade, distinct initiatives have begun to standardize data collection, storage, and transmission standards within human service domains. This paper describes several human services standards currently in use or under development in the United States and discusses how each support distinct, yet related, human service information management during disasters. The paper concludes with a call for the development of an overarching human services data interoperability standard.
Direct Synthesis of Novel Cu2–xSe Wurtzite Phase

Herein, we report the unprecedented direct synthesis of a recently discovered metastable wurtzite phase of Cu2–xSe. Nanocrystals of Cu2–xSe were synthesized employing dodecyl diselenide as the selenium source and ligand. Optical characterization performed with UV–vis–NIR spectroscopy in solution showed a broad plasmonic band in the NIR. Structural characterization was performed with X-ray diffraction (XRD) and transmission electron microscopy. Variable-temperature XRD analysis revealed that the wurtzite nanocrystals irreversibly transform into the thermodynamic cubic phase at 151 °C. Replacement of dodecyl diselenide with dodecyl selenol yielded cubic phase Cu2–xSe, allowing for polymorphic phase control. An aliquot study was performed to gain insight into the mechanism of phase selectivity. The direct synthesis of this novel wurtzite phase could enable the discovery of new phenomena and expand the vast application space of CuxSey compounds.
PROGRESSIVE PLAN EXECUTION IN A DYNAMIC WORLD

In complex dynamic worlds, reactive behaviour alone is inadequate for dealing with the diverse and unpredictable situations which may occur. To overcome this inadequacy, an agent in a dynamic world must exhibit goal directed behaviour, which is acquired through the execution of plans. However, completely specified plans are unsuitable in dynamic worlds for several reasons, and in particular the view that plans may be considered as executable programs is not suitable. We argue that an agent working in such situations must explicitly incorporate resource based abstractions in its plan representation. But, while executing such plans, a plan executor must, at any point during execution, be capable of recognising the current state of the word in order to execute an action in the plan. Since this task is difficult while an abstract action is executed, we suggest that plans be made progressively abstract into the future. We demonstrate that when an agent employs such a strategy, it faces the problem of how to generate its own abstractions in order to keep the plan simple and easy to maintain in a dynamic world. We present a methodology as to how an agent can generate simple abstractions in a small fire world, and we evaluate the performance of the agent in its ability to achieve its goals when the world changes unpredictably.
Turbo coding behavior in Rayleigh fading channels without perfect interleaving

Turbo coding is investigated for uninterleaved and partially interleaved Rayleigh fading channels. It is compared to ordinary convolutional coding with the same rate and memory 2, 4 and 8 best d/sub free/ encoders. When turbo frames are very long, turbo coding with a channel interleaver gets better bit error rates (BER) than ordinary convolutional coding with a channel interleaver. When the frames are shorter, lower complexity convolutional coding is as good as turbo coding. It is shown by experiment that only after a certain critical frame size does turbo coding get better BER than convolutional coding and the length of this threshold is linearly dependent on the inverse of the fading bandwidth, 1/BT. The effect of the constituent encoders on the error performance is also tested. Memory 2, 4 and 6 constituent encoders are compared. For short to moderate turbo frame size, the memory 2 constituent encoder is as good as the memory 4 and better than the memory 6 encoder. For very long block-lengths, the memory 4 encoder is the best. The memory 6 encoder is always the worst.
Frontiers in Ecology and the Environment | Concepts and Questions Published online on 3 June 2019 Punching above their weight: the ecological and social benefits of pop-up parks

Current global enthusiasm for urban greening and bringing nature back into cities is unprecedented. Evidence of the socioecological benefits of large, permanent greenspaces is mounting, but the collective potential for pop-up parks (PUPs) – small, temporary greenspaces – to augment urban ecosystem services is unknown. To showcase the potential of PUPs, we first highlight a case study demonstrating how PUPs may enhance biodiversity in a densely urbanized area; we then review evidence linking the design of small greenspaces with positive social outcomes, including benefits to human well-being. Finally, we emphasize how PUPs can function as socioecological laboratories to help inform urban design, and then propose a research agenda to better understand how PUPs may be optimally designed to provide benefits to humans and other species. Front Ecol Environ 2019;
Scalable Mobile Presence Cloud with Authentication through PGP

An efficient and scalable server architecture, called PresenceCloud, which enables mobile presence services to support large-scale social network applications. When a mobile user joins a network, PresenceCloud searches for the presence of his/her friends and notifies them of his/her arrival. PresenceCloud organizes presence servers into a quorum-based server-to-server architecture for efficient presence searching. It also leverages a directed search algorithm and a one-hop caching strategy to achieve small constant search latency. We analyze the performance of PresenceCloud in terms of the search cost and search satisfaction level. The search cost is defined as the total number of messages generated by the presence server when a user arrives; and search satisfaction level is defined as the time it takes to search for the arriving user's friend list. The presence server authentication problem is a security problem in distributed presence services. In centralized presence architectures, it is no presence server authentication problem, since users only connect to an authenticated presence server. In PresenceCloud, however, requires a system that assumes no trust between presence servers, it means that a malicious presence server is possible in PresenceCloud. To address this authentication problem, a simple approach is to apply a centralized authentication server. Every presence server needs to register an authentication server; PresenceCloud could certificate the presence server every time when the presence server joins to PresenceCloud. An alternative solution is PGP web of trust model, which is a decentralized approach.
Bringing Educational Games to the Afterschool: Collaborative Design-Based Research Approach to "Think like a 10 Year Old"

In our ever-ending quest to promote science education, can we take educational games to the afterschool? Following the modus-operandi of the Israeli Scouts, two motivated teens (whom we call Cyberscouts) volunteered to join a collaborative design-based research (which we entitle as ‘co-DBR’). Our shared objective is to design an effective model to bring educational games to the afterschool. This article reports the findings of the first iteration of the Cyberscouts model, in which the Cyberscout leaders designed and implemented the process of bringing the Quest-Atlantis educational game to an afterschool setting. We find that the teens’ ability to view the process “like a 10 year old” had a strong impact on the refinement of the model. We conclude that the novel co-DBR approach has the potential to serve as both a productive pedagogical approach and as an added value to DBR methodology.
Delivery of data mining as e-services in the World Wide Web

The field of knowledge discovery and data mining emerged in the recent past as a result of the dramatic evolution of the technology for information storage, access, and analysis. Distributed data mining (DDM) is a result of further evolution of the data mining technology. DDM embraces the growing trend of merging computation with communication. At the same time, the Internet and the World Wide Web (WWW) have provided a platform where organizations conduct commercial transactions. This was the transformation that led to the onset of electronic commerce (e-commerce). It was the new medium that brought with it the opportunity and ability for doing businesses in a global marketplace. Recently, the rapid strides in research and development in e-commerce are triggering the emergence of the next evolutionary phase, namely, e-service. This model envisages the Internet and WWW evolving from a global arena for selling goods to a virtual marketplace of services, particularly where businesses and organizations conduct their transactions via the Internet. Today, the goods that are able to be transacted in an e-services modeled (B2B) virtual marketplace are not restricted in real entities such as electronics, furniture, or tickets. They can also be resources such as software, computation abilities, or useful datasets. These resources are potentially able to be sold or rented to clients as e-services. Data mining in conjunction with other business intelligence applications is emerging as intuitively suitable for being delivered as such an e-service, mainly because of the fact that several small to medium range businesses are constrained by the high cost of setting up and maintaining infrastructure of support technologies and software required for business intelligence. To efficiently and effectively deliver data mining as an e-service in the World Wide Web, Web service technologies are introduced to provide a layer of abstraction above existing software systems. Unlike existing distributed computing systems, Web services are adapted to the Web. The default network protocol is HTTP. With Web services, the communication protocol among e-service agents and service providers is already there, World Wide Web. Web services work at a level of abstraction that is capable of bridging any operating system, hardware platform, or programming language, just as the Web is. Data mining e-service model requires interactions between clients and e-service agents, as well as between e-service agents and e-service providers. These interactions need to be implemented in a reliable, stable, and scalable way. Java 2 Enterprise Edition (J2EE) provides APIs and design patterns to design sound architectures and result in quality web-based applications, which makes the Internet-based data mining e-service feasible. This thesis investigates the delivery of Internet based data mining e-services and proposes an architecture supported by Web services and J2EE technologies to address the specific infrastructure requirements imposed on data mining…
Is Direct Seeding an Alternative to Transplanted Rice Culture and How Transplanted Rice Cultivars Perform under Direct Seeding?

Rice (Oryza sativa L.) is the major staple crop of the country accounting for 39.64% of total food grain production (284.83 million tonnes) during 2017-18 (DOES, 2018). Over years, transplanted rice culture with high and stable yields has under assured irrigation has gained prominence. This labour intensive establishment system was highly suited to the labour surplus Asian countries including India till flag end of late 20 th century. Rapid International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 05 (2019) Journal homepage: http://www.ijcmas. com
Laboratory bioreactor with pH control system for investigations of hydrogen production in the dark fermentation process

The work presents the construction of a low-cost research bioreactor equipped with a pH control sys-tem. The developed bioreactor was applied for hydrogen production in the dark fermentation process using Enterobacter aerogenes ATCC 13048. Presented paper compares the results obtained during the process without and with pH regulation for different feed materials: glucose, energetic poplar hydro-lysates, acid whey and glycerol. It has been shown that the use of the proposed bioreactor design to study the dark fermentation process is fully justified and purposeful. It has also been observed that the use of pH regulation resulted in a longer log phase of about 12 hours, which increased the amount of hydrogen produced
A Novel High-Quality Community Detection Algorithm Based On Modified K-Means Clustering

Some existing community detection algorithms have the defect that they need extra parameters (e.g. the number of communities) as input, while other algorithms needn’t to know prior information but have parameters notoriously difficult to adjust. In this paper, we present a new community detection algorithm based on modified k-means clustering method to overcome these problems. In our algorithm, we first present a new initialization method that can find initial cores no matter the number of communities is known or not and each core is regarded as a initial community. We also propose a novel two-stage method to assign nodes to corresponding communities, and then recalculate the core of each community. By repeating steps above until convergence, we get a division of a network. A series of experimental results demonstrate the performance of our proposed algorithm.
Efficient Service Scheduling in Mobile P2P-based Video-on-Demand Streaming

We propose an efficient multimedia service for mobile P2P network policy with the service patterns which mobile join and mobile node resource utilizations. And improves the cache utilization of user requests and reduces the starvation problem of nodes exit from the network. We test the performance of mobile P2P services with cache hit rate and fault with similar techniques.