Miracle-dz/UniFAR-FTUs huggingface dataset:
A Guaranteed Two-stage State Estimation Framework for Unbalanced Three-phase Distribution Systems by Considering Multi-source Measurement Uncertainty

Conventional statistic based distribution system state estimator only generates one point estimation, which frequently shows low creditability and cannot reflect the true operating state due to various measurement uncertainty. This paper proposes a guaranteed two-stage state estimation framework to obtain the tightest upper and lower bounds, with true state enclosed, by using multi-source measurements with various accuracy in distribution systems. In the first stage, the uncertainty distribution power flow is calculated by using all pseudo measurements with low accuracy. Affine arithmetic (AA) is used to model the measurement uncertainty. The calculated voltage intervals are then used as inputs for the second stage, where real-time measurements with higher accuracy are used as more strict constraints to further shorten the initial intervals. In this stage, a three-phase linear relaxation optimization model is employed to relax the non-convex three-phase power flow equations. Tests on different IEEE systems prove the feasibility for the method.
Area and Energy Efficient Magnetic Full Adder based on Differential Spin Hall MRAM

The in-memory computing concept has gained significant attraction with the inception of perpendicular magnetic tunnel junction (PMTJ) device, due to its nonvolatility and CMOS compatibility. Recently, several magnetic full-adder (MFA) designs based on spin-transfer torque (STT) and spin- Hall effect (SHE) magnetic random access memories (MRAMs) have been demonstrated. However, they consume higher write energy and occupy larger area. In this work, a novel MFA using differential spin-Hall (DSH) MRAM is proposed. The DSH- MRAM provides simultaneous switching of two PMTJ devices using SHE and generates complementary logic outputs. The single Hall metal (HM) shared by these PMTJ devices offers a very low resistance path for write operation. In this work, an external magnetic field (EMF) is used to assist the SHE current for PMTJ switching that eliminates the need for a STT current. A SPICE-compatible Verilog-A MTJ behaviour model of the proposed MFA is developed. The EMF-assisted DSH-MRAM requires a very short pulse (300 ps) of SHE current to switch both the PMTJs. The proposed MFA exhibits 65% less time, consumes 93% (18%) less write (read) energy, and saves 23% area compared to recent STT/SHE-MTJ based MFA designs.
An Efficient Hardware Architecture Design of EEMD Processor for Electrocardiography Signal

This study proposed an efficient hardware architecture design of Ensemble Empirical Mode Decomposition (EEMD) processor for the signal analysis of Electrocardiography (ECG). The proposed processor is implemented in an on-board Xilinx FPGA for on-line signal processing of the non-linear and non-stationary signal. The EEMD method is appropriate to analyze the non-linear ECG signal with assisting white noise and decompose the signal into 8 sets of Intrinsic Mode Functions (IMFs). The experimental result shows that the mode mixing problem, which exists in the Empirical Mode Decomposition (EMD) method, solved by the proposed EEMD processor. The study solves the obstacle of mode mixing and achieves high accuracy with data error < 4.7×10-5. This approach can effectively analyze the non-linear and non-stationary biomedical signal and facilitate cardiovascular diseases diagnosis and long-term monitoring.
EMD of EMAT NDT in X70 Pipeline Weld Defects

Electromagnetic acoustic transducer (EMAT) is an emerging non-destructive testing technique which has been applied to the pipelines inspection. EMAT has advantages of Non coupling agent and can be used with high temperature environment. Due to the roughness remaining in surface of the pipeline, the quantitative analysis of defect location are challenges by using EMAT NDT. This paper introduces a new detection method of EMAT by hybriding Empirical Mode Decomposition (EMD) with IMFs reconstruction to quantitative detect weld defects. The new method has been validated to detect the defects of weld for the X70 pipeline by using Bulk-wave. Experiments have been proved that it improves the accuracy of the measurement, and achieve the recognition of millimeter-level defects.
Die Sprache im Bild - Das Bild in der Sprache: Zur Verknüpfung von Sprache und Bild im massenmedialen Text. Konzepte. Theorien. Analysemethoden

Although many everyday texts include pictures that contribute to the meaning of the message as whole, the field of linguistics has only sporadically dealt with this sign modality. The book closes the gaps by presenting theories for justifying possible references between language and pictures, and offers practical explanations for these references by way of numerous examples from journalism and advertising.
Delay-constrained joint source-channel coding using incremental redundancy with feedback

We present a joint source-channel coding scheme based on incremental redundancy and feedback for transmission of real-time sources over wireless channels under strict delay constraints. The proposed scheme operates at constant bit rate and delay so as to capture the benefits of a feedback channel, while keeping the synchronous nature of pure forward error correction systems. We formulate the underlying Markov chain by introducing the notion of codetype and present a design algorithm for channel and source rate allocation. We present simulation results for speech transmission and show gains of up to 1 dB over pure FEC systems. We also present an application to CDMA networks and show increases of up to 28 % in the number of calls that can be simultaneously supported.
Exploitation des ressources aquatiques dans les cultures néolithiques et chalcolithiques de la Roumanie méridionale : texte, figures, planches et annexes

Ce travail archeozoologique, represente l'etude de plus de 360 000 restes fauniques livres par quatre etablissements neolithiques (culture Boian : V-VIe millenaire) et sept chalcolithiques (eneolithiques) (culture Gumelnita : derniere moitie du Ve millenaire). Les sites se trouvent sur le Danube et ses affluents dans la partie meridionale de la Roumanie. L'analyse du materiel faunique a mis en evidence la presence de 144 taxons des classes les plus varees d'animaux : Bivalvia, Gastropoda, Scaphopoda, Malacostraca (Crustacea); Pisces, Reptilia, Amphibia, Aves et Mammalia. L'exploitation du milieu aquatique par les communautes neo-eneolithiques etait realisee pa r quelques activites importantes telles la collecte de coquillages, la peche et la chasse a partir du materiel faunique livre par chaque site, nous avons mis en evidence les caracteristiques de toutes ces activites et aussi l'utilisation comme matiere premiere pour confectionner des outils ou parures.
Combining the normal hedge algorithm with weighted trees for predicting binary sequences

Author(s): Biaggi, Andrea | Abstract: This thesis presents the use of an online learning hedging technique to predict patterns in a binary sequence. It is compared to previous techniques. This technique, referenced as Normal Hedge Tree, has faster learning rates for patterns and suffers less regret with respect to Hedge(eta) [FS99, FS95] with synthetically generated sequences. Normal Hedge Tree is compared to Mindreader [Dos] over previously collected sequences. Overall, Normal Hedge Tree performs worse than Mindreader but for some sequences it has better results. We combine the two algorithms using Normal Hedge [CFH09], but the combination performs worse than either of the algorithms taken singularly
Probabilistic parse scoring with prosodic information

Prosodic patterns provide important cues for resolving syntactic ambiguity, and can be used to improve the accuracy of automatic speech understanding. With this goal, the authors propose a method of scoring syntactic parses in terms of observed prosodic cues, which can be used in ranking sentence hypotheses and associated parses. Specifically, the score is the probability of a hypothesized word sequence and associated syntactic parse given acoustic features, based on acoustic and language (prosody/syntax) models that represent probabilities in terms of abstract prosodic labels. Experimental results on a corpus of ambiguous sentence pairs indicate that the algorithm achieve ambiguity resolution performance close to that of human listeners. <<ETX>>
The Rose and the Globe - Playhouses of Shakespeare's Bankside, Southwark: Excavations 1988-91

The excavation of two of the famous playhouses of Tudor London, the Rose and the Globe, provided the first concrete evidence for the size, layout and development of these playhouses, now presented in detail for the first time in 400 years. The remains of the Rose playhouse were revealed 20 years ago and aroused great interest throughout the world, far beyond the normal confines of archaeological discovery. To the scholarly world the Rose was famous through the survival of day-to-day accounts written by its owner Phillip Henslowe, and to the theatre world as the stage where many of Marlowe's plays were first performed; the investigations brought this history to life. The excavation of a smaller part of the Globe, the home of many of Shakespeare's plays, revealed less detail but was an important emotional, as well as archaeological discovery. This archaeological report will appeal to a wider audience of those interested in the history and development of the theatre. The hundreds of individual elements found in the excavations, together with newly researched documentary sources, have been fully integrated into a narrative description and thematic discussions on every aspect of the playhouses, the plays and the audiences. The volume is lavishly illustrated with contemporary views, reconstructions and detailed drawings and photographs of structures and finds from the excavations.
The Watermark Applications in Multimodal Biometric Identification

— The need for personal identification in the modern world in all areas of social activity is growing. This paper presents the application of the watermark in multimodal biometric identification. In one biometric feature a face photo is inserted in the form of a watermark, a second, encrypted biometric feature a fingerprint. Unlike standard biometric identification algorithms that require access to a database with biometric features, the concept of multimodal biometric identification does not require access to the database. It has been shown that a high quality fingerprint can be extracted from the watermarked photo of person, which, together with the face image, is used in the process of multimodal identification. In the experimental part of the work, mean values of PSNRs of secured images of over 37dB were obtained, while the average value of PSNR watermarks was over 33dB, NC greater than 0.98 and SSIM about 0.96. Based on the obtained experimental results, it can be concluded that the proposed concept of multimodal biometric identification based on a watermark can be successfully applied in multimodal personal identification.
NICO: Reducing Software-Transparent Crash Consistency Cost for Persistent Memory

Emerging non-volatile byte-addressable memory (NVM) introduces many opportunities and challenges to memory system designs. As data become persistent at main memory level, persistent memory systems need to guarantee the consistent state of data in the event of system failures (i.e., crash consistency). Existing studies propose persistent memory designs with software-transparent crash consistency guarantee to reduce programmers’ manual effort when taking advantage of persistent memory. However, these designs are suboptimal due to their performance overhead caused by creating checkpoints. In this paper, we propose a Non-Intrusive memory COntroller design (NICO) that uses backend operations for achieving software-transparent crash consistency with minimized checkpointing overhead. By moving data persist operations to the background, NICO fully decouples data persist operations from volatile execution and cache management. To efficiently enforce crash consistency, we design a lightweight checkpointing scheme which only needs to flush and modify a very small amount of data when creating a consistent snapshot of persistent memory data. Our results show that NICO reduces the percent of time spent on checkpointing to within 0.9 percent across different benchmarks, and improves performance by 2.04× compared with existing checkpoint-based designs on average.
Knowledge and attitude of Sudanese school health teachers regarding first aid management of dental trauma

Background: School teachers can play an essential role in managing traumatic dental injuries (TDIs). International studies reveal that basic school personnel have little knowledge about emergency dental care and management. The aim of this study isto assess the level of knowledge and attitude of Sudanese school health teachers in Khartoum state regarding first aid management of dental trauma. Methods: A cross sectional study of self-administered questionnaire consists of; demographic data, self-assessment, knowledge and attitude, was filled by 195 school health teachers. Data were analyzed using t-test, one-way ANOVA and Pearson correlation coefficient. Results: Entirely inadequate knowledge regarding the management of tooth fracture and avulsion was observed and 92.3 % of the participants scored <10 points. Most participants (90.3%) were unsatisfied with their awareness and suggested further education on the topic should be offered. No statistical significant difference between knowledge and demographic variations (P > 0.05). Whereas,significantwas found between attitude and first aid training (p<0.05). Conclusion: The present results revealed considerably squat knowledge of the school health teachers regarding the first-aid management of dental trauma. Most of the participant have positive attitude toward management of the traumatic dental injuries. Correspondence to: Amal H. Abuaffan, Associate professor and head department of Orthodontics, Pedodontics and Preventive Dentistry, Faculty of Dentistry, University of Khartoum, Sudan, Tel: 00249-912696035; 00249-927202131; E-mail: amalabuaffan@yahoo.com
Clinical Aspects of Ultrasonic Liposculpture

The use of ultrasonic energy to liquefy excess body fat presents another possibility for body sculpture. Encouraged by several years of successful use of ultrasonic energy for the harvest of autologous collagen from fat tissue,'-2' researchers have developed an ultrasonic unit and titanium probes to liquefy subcutaneous fat, which is subsequently removed via low-level aspiration; the area is then manually remodeled.5~7~x~16~'x Cavitation caused by the ultrasonic energy acts primarily on the liquid within the fat and, if properly used, has no effect on the vascular, nervous, or connective tissue components. Ultrasonic liposculptllre or ultrasonic-assisted lipectomy has evolved from closed liposuction. In the 1970s, Schruddq2' Fi~her,'~ and above all I l l o ~ z ~ ~ - ~ " were prominent in advancing techniques of closed liposuction through small incisions. Closed liposuction has been refined by many ~urgeons~O-~~ and has become the most frequently performed plastic surgery procedure. Ultrasonic liposculpture, in which fat is liquefied with ultrasonic energy and then evacuated from the subcutaneous space, offers the advantages of reduced blood loss, more specific treatment and removal of excess fat, and the possibility of very large reductions of fat (up to 12 L in one session without a major drop in hemoglobulin levels [< 4 g] ) .
Bass Culture: When Reggae Was King

Part One First session: boogie in my bones music is my occupation we are rolling message from the king train to Skaville strange country what a world. Part Two Simmer down: soul style dance crasher mix it up you can get it if you really want. Part Three Studio kinda cloudy: pressure drop wake the town, tell the people dubwise situation dreadlocks in moonlight ah fi we dis trench town rock warrior charge sipple out deh. Part Four Fist to fist days gone: ring the alarm kid's play Johnny dollar healing of a nation.
Anti-aflatoxigenc potentials of two Nigerian herbs on albino rats.

The anti-aflatoxigenic activity of methanolic and ethanolic extracts of Phyllanthus niruri and Pseudocedrella kotschyi were studied in male and female Wister albino rats fed with aflatoxin –contaminated chow (112ppb) for 20 d. Morbidity studies arising from the dietary aflatoxin were carried out. Packed Cell Volume (PCV), fasting blood sugar (FBS), haemoglobin concentration (HB), total white blood cells (WBC), and serum bilirubin (SB) were profiled. Extracts from both herbs lowered the PCB, blood glucose, Hb, WBC and SB levels in the test male than in control at P<0.05 using the ANOVA test for significance. The ethanolic extracts of Pseudocedrella and the methanolic extract of Phyllanthus were the most effective anti-aflatoxigenic agents in the male as they reduced the blood parameter levels by 50% of the positive control. The results were not so in the females. Post-mortem examination revealed kidney discoloration and paleness, mild to moderate hepatomegaly and enlarged spleen in the positive control while test rats showed normal morphology for these organs. The 2 local herbs are good candidates for the management of aflatoxicosis in mammals.
Learning and Skills Development in a Virtual Class of Educommunication Based on Educational Proposals and Interactions.

In the present paper we describe the analysis of qualitative and quantitative data from asynchronous learning networks, the virtual forums that take place in VirtualNet 2.0, the platform of the University Manuela Beltran (UMB), inside the course of Educommunication, from the master of Digital technologies applied to education. Here, we performed a multimodal investigation to assess, identify and describe according to the interactions and participations, the characteristics of the asynchronous learning networks (ALN), in order to consider it as a collaborative strategy in the virtual formation.
Recent developments in supervised learning

The author presents a generalized criterion proposed recently for the fast training of feedforward neural networks. A strategy is also described which allows the development of learning algorithms capable of determining the architecture of feedforward neural networks, i.e., the number of hidden layers and the number of hidden units per layer, while performing their training. It was experimentally verified that the proposed algorithms provide the simplest possible network for a given training task. <<ETX>>
Warrior Women: The Anonymous Tractatus De Mulieribus

This study analyzes the anonymous Tractatus de Mulieribus, a brief, virtually unknown Greek work, telling of fourteen outstanding women, Greek and barbarian, notable for their intelligence, initiative and courage. The first part of the book is a comprehensive introduction to the treatise and includes - in addition to the original text and an English translation - an examination of both the content and form of De Mulieribus, particularly as a catalogue of women. The times, methods, and purposes of the anonymous author are also investigated. Commentary-essays on the individual women then follow. A wide variety of sources are utilized in order to sketch the fullest possible portrait of each of these lively women. This book, the very first study of De Mulieribus, is a useful introduction to a remarkable treatise.
Narrative and stories in health care : illness, dying, and bereavement

The use of narrative methods has a long history in palliative care, pioneered by Dame Cicely Saunders, founder of the modern hospice movement, Narrative and Stories in Health Care provides a vibrant, multidisciplinary examination of work with narrative and stories in contemporary health and social care, with a focus on the care of people who are ill and dying. It animates the academic literature with provocative 'real-world' examples from international contributors, including palliative care service users and those working in the social and human sciences, medicine, theology, and the creative arts. Narrative and Stories in Health Care addresses and clarifies core issues: What is a narrative? What is a story? What are some of the main methods and models that can be used and for what purposes? What practical and ethical dilemmas can the methods entail in work with illness, death and dying? As well as highlighting the power of stories to create new possibilities, the book also acknowledges the conceptual, methodological and ethnical problems and challenges inherent in narrative work. As the hospice and palliative care movement evolves to meet the challenges of 21st century health care, this fascinating book highlights how narratives and stories can be attended to in ways that are productive, ethical, and caring.
Two data mining algorithms for predicting the condition number of sparse matrices �

We present experimental results of comparing the Modified KNearest Neighbor (M NN) algorithm with Support Vector Machine (SVM) in the predi ction of condition numbers of sparse matrices. Condition num ber of a matrix is an important measure in numerical analysis and linear algebra . However, the direct computation of the condition number of a matrix is very expen sive in terms of CPU and memory cost, and becomes prohibitive for large size m atrices. We use data mining techniques to estimate the condition number of a given sparse matrix. In our previous work, we used Support Vector Machine (S VM) to predict the condition numbers. While SVM is considered a state-of-t he-art classification/regression algorithm, NN is usually used for collaborative filtering tasks. Since prediction can also be interpreted as a classsificatio n/regression task, virtually any supervised learning algorithm (such as NN) can also be applied. Experiments are performed on a publicly available dataset. We con clude that Modified NN (M NN) performs much better than SVM on this particular dataset .
Tibetan Language Continuous Speech Recognition Based on

Dynamic Bayesian Networks (DBN) are a subset of the probabilistic graphical models (PGM) which include hidden Markov model (HMM) as a special case. One of the principle weaknesses of HMMs is the independence assumptions on the observed and hidden processes of speech. This paper proposed to use the DBN for Tibetan language continuous speech recognition. The proposed approach is based on structure learning paradigm in DBN framework. This approach has the advantage to guaranty that the resulting model represents speech with higher fidelity than HMM. The results of recognition experiments show that the proposed algorithm has better performance of recognition rate and noise suppression compared with HMM. Keywords-Continuous Speech Recognition; Tibetan Language; Dynamic Bayesian Networks�
Watchmen as Literature: A Critical Study of the Graphic Novel

"Watchmen" has been hailed as the quintessential graphic novel and has spawned a body of literary criticism since its 1986 release. This work explores the graphic novel's reception in both popular and scholarly arenas and how the conceptual relationship between images and words affect the reading experience. Other topics include heroism as a stereotype and social construction, the hero's journey, the role of the narrator, and the way in which the graphic layout manipulates the reader's perception of time and space.
Orientation marche et performance: integration des evidences empiriques

En se basant sur une revue de la litterature couvrant les dix dernieres annees, ce texte expose l'evolution de la conceptualisation de l'orientation marche. Une synthese des resultats des recherches empiriques les plus importantes sur les antecedents et les consequences de l'orientation marche est presentee mettant l'accent sur le role des variables de controle et des variables moderatrices.