Miracle-dz/UniFAR-FTUs huggingface dataset:
Blind Hyperspectral Unmixing Considering the Adjacency Effect

This paper focuses on the blind unmixing technique for analyzing hyperspectral images (HSIs). A joint deconvolution and blind hyperspectral unmixing (DBHU) algorithm is proposed, which is aimed at eliminating the impact of the adjacency effect (AE) on unmixing. In remote sensing imagery, the AE occurs in the presence of atmospheric scattering over a heterogeneous surface. The AE leads to blurring and additional mixing of HSIs and makes it difficult to estimate endmembers and abundances accurately. In this paper, we first model the blurred HSIs by the use of a bilinear mixing model (BMM), where a blurring kernel is used to model the mixing caused by the AE. Based on the BMM, the DBHU problem is formulated as a constrained and biconvex optimization problem. Specifically, the minimum-volume simplex (MVS) is incorporated to deal with the additional mixing caused by the AE, and 3-D total variation (TV) priors are adopted to model the spectral–spatial correlation of the data. In DBHU, the biconvex problem is efficiently solved by a nonstandard application of the alternating direction method of multipliers (ADMM) algorithm, where a block coordinate descent scheme is applied by splitting the original problem into two saddle point subproblems, and then minimizing the subproblems alternately via the ADMM until convergence. The experimental results obtained with both simulated and real data confirm the viability of the proposed algorithm, and DBHU works well, even where both blurring and noise are present in the scene.
Specificity for the hairy/enhancer of split basic helix-loop-helix (bHLH) proteins maps outside the bHLH domain and suggests two separable modes of transcriptional repression

The Hairy/Enhancer of split/Deadpan family of basic helix-loop-helix (bHLH) proteins function as transcriptional repressors. We have examined the mechanisms of repression used by the Hairy and E(SPL) proteins by assaying the antagonism between wild-type or altered Hairy/E(SPL) and Scute bHLH proteins during sex determination in Drosophila melanogaster. Domain swapping and mutagenesis of the Hairy and E(SPL) proteins show that three evolutionarily conserved domains are required for their function: the bHLH, Orange, and WRPW domains. However, the suppression of Scute activity by Hairy does not require the WRPW domain. We show that the Orange domain is an important functional domain that confers specificity among members of the Hairy/E(SPL) family. In addition, we show that a Xenopus Hairy homology conserves not only Hairy's structure but also its biological activity in our assays. We propose that transcriptional repression by the Hairy/E(SPL) family of bHLH proteins involves two separable mechanisms: repression of specific transcriptional activators, such as Scute, through the bHLH and Orange domains and repression of other activators via interaction of the C-terminal WRPW motif with corepressors, such as the Groucho protein.
A Tridimensional Approach for Studying the Formal Verification of Model Transformations

In Model Driven Engineering (MDE), models are first-class citizens, and model transformation is MDE's "heart and soul". Since model transformations are executed for a family of conforming models, their validity becomes a crucial issue. This paper proposes to explore the question of the formal verification of model transformation properties through a tri-dimensional approach: the transformation involved, the properties of interest addressed, and the formal verification techniques used to establish the properties. This work allows a better understanding of the expected properties for a particular transformation, and facilitates the identification of the suitable tools and techniques for enabling their verification.
Abordagem Etnográfica à Convivência na Escola

Convivencia is a Spanish concept that addresses the ways of living together, living with others. School convivencia in particular is formed by the tapestry of social relations that construct the everyday life in schools, and it provides the relational elements and boundaries where the school experience is constructed. This article derives from an investigation of the relationships between two Mexican primary schools and their local communities and their implications for school convivencia . It presents two challenges of analysing school convivencia from an ethnographic perspective: the struggle between restrictive and comprehensive approaches and the tension between the specific and the complex in understanding convivencia .
Experimental investigation of signal time misalignment in dynamic load modulation amplifiers

The effect of time misalignment between the RF input and tuneable matching network (TMN) control signal in load-modulated PAs is experimentally investigated. A reactively load-modulated low-power GaAs E-pHEMT amplifier is used, operating at 2.3GHz with 20dBm peak output power. The amplifier is first characterised under CW operation and the appropriate functions for maximising PAE are extracted. These are then used to enhance the efficiency of the amplifier under modulated signals. Using multi-tone, as well as, 1.4 and 3MHz LTE signals, the effects of time misalignment between the two paths on output power; PAE and spectral regrowth are explored. As expected, proper alignment of the signals is crucial, but it is shown especially important for minimising ACPR asymmetry, similar to supply modulation architectures. This highlights the underlying tradeoff between synchronisation accuracy and linearisation effort requirement.
TURKISH DICTATION SYSTEM FOR RADIOLOGY AND BROADCAST NEWS APPLICATIONS

iii ACKNOWLEDGEMENTS I would like to thank Assoc. Prof. Levent M. Arslan for his kindness and support during this difficult process. I could not complete this thesis without his diligent advisement, creative ideas, and the inspiration he gave. He is not only an excellent ad-visor and an enthusiastic academician but also an encouraging teacher and a supportive friend. I would also like to thank Prof. Bülent Sankur for his help and participation in my committee. His motivating contribution behind the anxiety he fostered was very helpful and is extremely valuable to me. I would like to thank Assist. Prof. Hakan Erdo˘ gan for his gentle attitude and participation in my thesis committee. My valuable thanks go to my family for their limitless tolerance. I also thank my little brother, Do˘ gu¸s for his help in corpus preparation in exchange of two packs of ice cream. Also special thanks to my dear sister Esra for her contribution in radiological data collection process. I thank to my friend Suna. She diligently stood my continuous grumbling and provided her unique friendship under every condition. Even though she was not familiar to my research area at the beginning, she put her labor into every line of this thesis. I would also like to thank my friend Suncem for washing all my coffee cups while I was consuming extreme amount of coffee during sleepless nights. Although, she can not have a chance to read this acknowledgement, I would like to thank my little sweet cat Meze Kepçe for the enjoyment she gave. gold members, the people in BUS ˙ IM for their contribution during my data collection. Finally, I would like to thank Hacettepe University Radiology Department for their help in supplying radiological reports. iv ABSTRACT TURKISH DICTATION SYSTEM FOR RADIOLOGY AND BROADCAST NEWS APPLICATIONS In this thesis, we have designed a Turkish dictation system for Radiology and Broadcast news applications. Turkish is an agglutinative language with free word order. These characteristics of the language result in the vocabulary explosion and the complexity of the N-gram language models in speech recognition. In order to alleviate this problem, we propose a task-specific, radiology, dictation system. Using classical word-based language models, we achieve 87.06 per cent recognition performance with a small vocabulary size in a speaker independent radiology speech recognition system. However, the same system results in 46.29 per cent recognition rate for the broadcast news dictation …
Agilent 8800 Icp-qqq Application Handbook Agilent 8800 Icp-qqq Application Handbook Agilent 8800 Icp-qqq Application Handbook Title Elements Page

Foreword Quadrupole-based inductively coupled plasma–mass spectrometry (ICP-QMS) was introduced commercially in 1983. The technique immediately aroused considerable interest in the analytical community as it provided multi-element capabilities and better limits of detection compared to atomic absorption spectrometry (AAS) and ICP optical emission spectroscopy (ICP-OES). In the three decades since it was introduced, ICP-MS has been widely adopted as the technique of choice for trace element analysis in samples ranging from ultrapure reagents used in the semiconductor industry, through food commodities, pharmaceutical products, body fluids and tissues, to waters, soils and rocks measured in the environmental monitoring and mining industries. The ever increasing demand to quantitatively determine (ultra-trace) elements in various sectors and in a myriad of matrices ensures that ICP-MS is still gaining popularity. As is the case with every other technique, ICP-MS has its drawbacks, and spectral interferences, especially those that jeopardize the accurate trace element determination at mass-to-charge ratios ≤80 amu, were rapidly recognized as the technique's proverbial Achilles' heel. Early ICP-MS users learnt how to overcome this obstacle in some instances, but some important elements simply remained inaccessible. With the introduction of sector-field ICP-MS with higher mass resolution, the majority of spectral interferences encountered can be resolved. Sector-field instrumentation is, however, substantially more expensive, and higher mass resolution comes at the cost of reduced ion transmission and thus, lower signal intensity. At that time, ICP-QMS had no " general approach " to offer as an alternative to overcome spectral overlaps. Cool plasma conditions formed a first step in the right direction, then with the introduction of multipole collision/reaction cells, the gap between sector-field and quadrupole-based ICP-MS instrumentation began to close. These collision/reaction cells already provide a versatile means for tackling spectral overlaps, as interferences can be removed either through differences in reaction chemistry (with a reactive cell gas), or by kinetic energy discrimination using a bias voltage (when an inert cell gas is used). With the introduction of the Triple Quadrupole ICP-MS (ICP-QQQ) instrument, equipped with an octopole collision cell located between two quadrupole mass filters, this approach has been further perfected. Specifically, the capabilities of chemical resolution based on selective reactions between ions extracted from the ICP and the molecules of a reactive gas can now be fully exploited. The tandem mass spectrometer configuration provides two separate mass selection steps, which provides full control over the ion/molecule chemistry that occurs in the cell. The first quadrupole …
Line start permanent magnet motor: single-phase starting performance analysis

This paper presents a detailed quasi steady-state approach to different torque components (average and pulsating) for a single-phase capacitor-run permanent magnet motor. By employing average electromagnetic torque, and the expected envelope of the pulsating torque, an accurate prediction of starting torque components behaviour is made. The quasi steady-state analysis of the asynchronous performance of the single-phase capacitor-start, capacitor-run permanent magnet motor is realized through a combination of symmetrical components and d-q axes theory. The developed approach is valid for any m-phase AC motor - induction, synchronous reluctance or synchronous permanent magnet.
Parallel high-dimensional index structure for content-based information retrieval

To solve dasiadimensional cursepsila problem, the cell-based filtering scheme has been proposed, but it shows a linear decrease in performance as the dimensionality is increased. In this paper, we propose a parallel high-dimensional index structure for content-based information retrieval so as to cope with the linear decrease in retrieval performance. In addition, we devise data insertion, range query and k-NN query processing algorithms which are suitable for a cluster-based parallel architecture. Finally, we show that our parallel index structure achieves good retrieval performance in proportion to the number of servers in the cluster-based architecture and it outperforms a parallel version of the VA-File when the dimensionality is over 10.
Query Workloads for Data Series Indexes

Data series are a prevalent data type that has attracted lots of interest in recent years. Most of the research has focused on how to efficiently support similarity or nearest neighbor queries over large data series collections (an important data mining task), and several data series summarization and indexing methods have been proposed in order to solve this problem. Nevertheless, up to this point very little attention has been paid to properly evaluating such index structures, with most previous work relying solely on randomly selected data series to use as queries (with/without adding noise). In this work, we show that random workloads are inherently not suitable for the task at hand and we argue that there is a need for carefully generating a query workload. We define measures that capture the characteristics of queries, and we propose a method for generating workloads with the desired properties, that is, effectively evaluating and comparing data series summarizations and indexes. In our experimental evaluation, with carefully controlled query workloads, we shed light on key factors affecting the performance of nearest neighbor search in large data series collections.
An improved water-filling algorithm for mobile MIMO communication systems over time-varying fading channels

Multiple input multiple output (MIMO) systems that use antenna arrays at both the transmitter and receiver are gaining much more attention and efforts in wireless communication research due to their potential to increase considerably capacity in mobile cellular communications. However, in the real propagation environment of cellular communications, it is difficult to gain the ideal ergodic capacity for time-varying fading MIMO channels except using adaptive modulation and power water-filling in the space domain over every MIMO subchannel. A novel improved rate quantization (IRQ) algorithm is proposed using water-filling theory for power allocation and adaptive modulation. The simulation results show that, with low complexity, IRQ can obtain higher transmit power utilization and greater spectral efficiency than other present rate quantization and power allocation schemes.
An analysis and comparison of web development between local governments and SMEs in Spain

The internet has emerged as a key channel for both firms and governments. E-government programmes are diverse, and difficult to assess and compare with e-business initiatives. There is therefore a need for a framework to allow for assessment and comparison of e-government and e-business initiatives. This paper develops a framework (applicable to both business and governments) that allows evaluation and comparison of the development of the external, public side of their websites. This framework has been applied to study differences in web development between SMEs and local governments in Spain. The results indicate that local governments have richer and more advanced websites than SMEs.
A Phenomenological Study on the pre-migration traumatic experiences of international students in their home countries, their decision to study abroad and their coping mechanisms post-migration.

Internationell student migration anses i migrationslitteraturen som en vag som manga studenter anvander for att vidareutbilda sig utomlands. Pa samma satt koncentreras studerandet av internationella studenter erfarenheter ofta pa sina erfarenheter utomlands och hur de anpassar eller klarar av de kulturella skillnaderna i vardlanderna. Det finns dock internationella studenter som har traumatiska upplevelser i sina hemgrupper som paverkar deras beslut att migrera och hur de klarar sig utomlands. Som sadant ar syftet med detta dokument att belysa detta fenomen genom att gora en djupgaende analys av internationella studenter med traumatiska erfarenheter fore migration och belysa hur dessa erfarenheter paverkat deras beslut att studera utomlands.I det har dokumentet undersoks ocksa de olika hanteringsstrategierna som de anvander for att hantera deras samtida vardagsliv efter migrering. Studien visade att internationella studenter har olika traumatiska erfarenheter i sina hemlander; Traumatiska erfarenheter fore migration som fysiskt vald, diskriminering, sexuellt vald framhavdes som faktorer som paverkar internationella studenters.Dessutom drabbade premigrationens traumatiska erfarenheter copingprocessen for internationella studenter eftermigration som gar igenom en copingprocess bade under och efter de traumatiska handelserna. Olika strategier for hantering anvandes av internationella studenter med traumatiska erfarenheter fore migrationen for att klara sina nutida vardagsliv efter migration, sasom socialt stod, undvikande och attitydforandring.
Improving Author Name Disambiguation with User Relevance Feedback

Author name ambiguity in the context of bibliographic citations is a very hard problem. It occurs when there are citation records of a same author under distinct names or when there exists citation records belonging to distinct authors with very similar names. Among the several methods proposed in the literature, the most effective ones are those that perform a direct assignment of the records to their respective authors by means of the application of supervised machine learning techniques. However, those methods usually need large amounts of labeled training examples to properly disambiguate the author names. To deal with this issue, in previous work, we have proposed a method that automatically obtains and labels the training examples, showing competitive performance compared to representative author name disambiguation methods. In this work, we propose to improve our previous method by exploiting user relevance feedback. In more details we select a very small portion of the citation records for which our method was mostly unsure about the correct authorship and ask the administrators for labeling them. This feedback is then used to improve the effectiveness of the whole process. In our experimental evaluation, we observed that with a very small labeling effort (usually around 5% of the records), the overall disambiguation effectiveness improves by almost 10% on average, with gains of up to 61% in some of the largest ambiguous groups.
Identification and Isolation of Natural Compounds from Two Types of Sponges of Demospongiea Class, Kish Island

In recent years, mollusks, as the main marine sources in extracting pharmaceutical drugs, have been studied by many researchers from all over the world. Sponges are mollusks which contain bioactive compounds for treating various kinds of diseases. This research studies two types of sponge from Demospongiea class in Kish Island, and investigates separation and recognition of non-polar and semi-polar natural compounds of these sponges.Three main processes of the study include: collecting, separating and purifying natural products, and recognizing biologic compounds. Investigating the compounds derived from these sponges reveal that marine compounds can be regarded as rich sources of medical drugs in treating different types of diseases. This study is limited to two samples of sponges of Irciniidae and Niphatidae family. These samples are just small representatives of Demospongiae class.
Privacy preserving processing of high dimensional data classification based on sample selection and Singular Value Decomposition

With the development of data mining technologies, privacy protection has become a challenge for data mining applications in many fields. To solve this problem, many privacy-preserving data mining methods have been proposed. One important type of such methods is based on Singular Value Decomposition (SVD). In the proposed algorithm, attributes are grouped according to their distance difference similarity by clustering the data set using decision tree classification. Secondly, the algorithm packetizes the attributes according to their SA value in each group. Thirdly, for each group it selects attributes from the smallest bucket and searches for a similar attributes in the attributes-1 largest buckets from the same group to create an equivalence class following the unique attribute-distinct diversity anonymization model. The proposed algorithm satisfies the “utility based anonymization principle that crucial information is protected from being suppressed. Also, weights given to attributes improve clustering and give the ability to control the generalization's depth. In prototype classification is combination of clustering and classification technique such methods are called ensemble classifier, this new proposed method is more efficient in balancing data privacy and data utility.
Testing tidal-torque theory – II. Alignment of inertia and shear and the characteristics of protohaloes

We investigate the cross-talk between the two key components of tidal-torque theory, the inertia (I) and shear (T) tensors, using a cosmological N-body simulation with thousands of well-resolved haloes. We find that the principal axes of I and T are strongly aligned, even though I characterizes the protohalo locally while T is determined by the large-scale structure. Thus, the resultant galactic spin, which plays a key role in galaxy formation, is only a residual due to ∼10 per cent deviations from the perfect alignment of T and I. The T–I correlation induces a weak tendency for the protohalo spin to be perpendicular to the major axes of T and I, but this correlation is erased by non-linear effects at late times, making the observed spins poor indicators of the initial shear field. However, the T–I correlation implies that the shear tensor can be used for identifying the positions and boundaries of protohaloes in cosmological initial conditions – a missing piece in galaxy formation theory. The typical configuration is of a prolate protohalo lying perpendicular to a large-scale high-density ridge, with the surrounding voids inducing compression along the major and intermediate inertia axes of the protohalo. This leads to a transient sub-halo filament along the large-scale ridge, whose subclumps then flow along the filament and merge into the final halo. The centres of protohaloes tend to lie in ∼1σ overdensity regions, but their association with linear density maxima smoothed on galactic scales is vague: only ∼40 per cent of the protohaloes contain peaks. Several other characteristics distinguish protohaloes from density peaks, e.g. they tend to compress along two principal axes while many peaks compress along three axes.