Miracle-dz/UniFAR-FTUs huggingface dataset:
(Xx*-)Linguistics: Because We Love Language

Overall, although there is not the intense overlap between theoretical and computational linguistics that many seem to wish, I do not see this as a problem from a practical perspective. Everyone is working towards a common goal to understand language and to unearth its structure. By approaching the problem from different angles and with different immediate goals, we gain a broader perspective on the problem, and language is complex enough to need this broad perspective. As with all fields and as with the (Xx*-)linguistic fields, there are some researchers who more naturally reach outside their immediate domain and who will see where there are convergences and contradictions. Forcing everyone into this role would slow the growth of the field as a whole given the vast amount of work still before us.
Long-Term Survival With Allogeneic Stem Cell Transplant and Donor Lymphocyte Infusion Following Salvage Therapy with Anti-CD52 Monoclonal Antibody (Campath) in a Patient with α/β Hepatosplenic T-Cell Non-Hodgkin's Lymphoma

Hepatosplenic T-cell non-Hodgkin's lymphoma (HSTCL) is a rare, aggressive form of NHL, with a median survival of approximately 8 months. We were able to successfully induce complete remission in a patient with alpha/beta HSTCL who was refractory to multiple prior chemotherapy regimens, using the humanized anti-CD52 monoclonal antibody alemtuzumab (Campath). Once disease was controlled, the patient was able to undergo allogeneic stem cell transplantation (SCT), which resulted in complete remission. Furthermore, upon relapse, we were able to re-induce complete clinical and molecular remission with donor lymphocyte infusions. At Day 655 (post-SCT), the patient remains in complete remission. These data suggest a potential role for alemtuzumab and allogeneic SCT in the treatment of T-cell NHL.
A Graph-Based Spoken Dialog Strategy Utilizing Multiple Understanding Hypotheses

We regarded a dialog strategy for information retrieval as a graph search problem and proposed several novel dialog strategies that can recover from misrecognition through a spoken dialog that traverses the graph. To recover from misrecognition without seeking confirmation, our system kept multiple understanding hypotheses at each turn and searched for a globally optimal hypothesis in the graph whose nodes express understanding states across user utterances in a whole dialog. In the search, we used a new criterion based on efficiency in information retrieval and consistency with understanding hypotheses, which is also used to select an appropriate system response. We showed that our system can make more efficient and natural dialogs than previous ones.
Estimation d'une fonction de prix hédonistiques pour le vin de Champagne

[fre] Estimation d'une fonction de prix hedonistiques pour le vin de Champagne . par Olivier Gergaud . Dans cet article, la methode des prix hedonistiques est appliquee au vin de Champagne. Les donnees utilisees sont des donnees experimentales publiees dans deux revues francaises de consommateurs (50 millions de consommateurs, Que Choisir ? ). Deux cent quatre-vingt-six champagnes ont ete caracterises et notes. Pour analyser le lien entre le prix, la qualite et la reputation du champagne, nous estimons dans un premier temps une fonction de prix hedonistiques (la premiere concernant un vin effervescent a notre connaissance) puis une fonction pour la note decernee par les experts et enfin une fonction pour le rapport qualite-prix. [eng] Estimation of a Hedonic Price Function for Wine from the Champagne Region . by Olivier Gergaud . This paper applies the hedonic price method to wine from Champagne. The data used are taken from experimental studies published in two French consumer magazines (50 millions de consommateurs and Que Choisir). Some 286 champagnes are described and evaluated. To analyse the link between champagne prices, quality and reputation, we estimate a hedonic price function (the first concerning a sparkling wine we know) followed by a jury grade equation and lastly a value-for-money equation.
Opuntia sp. Cactus: Biological Characteristics, Cultivation and Applications

In this review, we approached various aspects of Opuntia sp. , a forage cactus. This plant stand out for its energy potential and have peculiar morphological and physiological features that allow tolerance for long periods of drought. In addition, Opuntia species has a cosmopolitan distribution, found mainly in arid and semi-arid regions. Opuntia sp. presents phenotypic variations related to weather conditions, like polyploidy occurring in a large number of populations and high hybridization capacity. This plant has a shrub morphological characteristic with ramifications, variable size, from creeping until arboreal; it can reach up to 4 m high and a series of fleshy stems with, depending on time of year, flowers and fruits. Opuntia sp. has a typical physiology with the photosynthetic process called crassulacean acid metabolism (CAM); stomata close during the day in order to maintain hydration of tissues. The chemical composition of Opuntia sp. varies according to species, age of reticule, and season. The cactus has excellent nutritional value with high water content (about 90%),
Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data

This work seeks to develop a probabilistic framework for modeling, querying and analyzing large-scale structured and semi-structured data. The framework has three components: (1) Mining non-redundant local patterns from data; (2) Gluing these local patterns together by employing probabilistic models (e.g., Markov random field (MRF), Bayesian network); and (3) Reasoning (making inference) over the data for solving various data analysis tasks. In more detail, our contributions are as follows: Mining non-redundant frequent itemset patterns on large transactional data. Often times in many real-world problems frequent pattern mining algorithms yield so many frequent patterns that the end-user is swamped when it comes to interpreting the results. We present an approach of employing probabilistic models to identify non-redundant itemset patterns from a large collection of frequent itemsets on transactional data. We show that our approach can effectively eliminate a large amount of redundancy from a large collection of itemset patterns. Employing local probabilistic models to glue non-redundant itemset patterns on large transactional or network data. We propose a technique of employing local probabilistic models to glue non-redundant itemset patterns together in tackling the link prediction task in co-authorship network analysis. The new technique effectively combines topology analysis on network structure data and frequency analysis on network event log data. The main idea is to consider the co-occurrence probability of two end nodes associated with a candidate link. We propose a method of building MRFs over local data regions to compute this co-occurrence probability. Experimental results demonstrate that the co-occurrence probability inferred from the local probabilistic models is very useful for link prediction. Employing global probabilistic models to glue non-redundant itemset patterns on large transactional data. We explore employing global models, models over large data regions, to glue non-redundant itemset patterns together. To this end, we investigate learning approximate global MRFs on large transactional data and propose a divide-and-conquer style modeling approach. Empirical study shows that the models are effective in modeling the data and approximately answering queries on the data. Mining non-redundant tree patterns and employing probabilistic approaches to glue them on large XML data. We propose a technique of identifying non-redundant tree patterns from a large collection of structural tree patterns. We show that our approach can effectively eliminate redundancies from a large collection of structural tree patterns. Furthermore, we present techniques of employing these non-redundant tree patterns as summary statistics for the XML data to solve the XML twig selection estimation problem. We propose a probabilistic framework under which the selectivity of a twig query can be estimated from the information of its subtrees. Empirical results demonstrate the efficacy of our approach on real and synthetic datasets.
Suicide reduction and prevention: Strategies and interventions

This paper focuses on suicide reduction and prevention. It considers what the United Kingdom government and associated bodies such as Department of Health, the National Health Service and Prison Service could do and are considering doing to prevent suicide in Britain. UK suicide statistics for the period 1971 and 1997 are compared and the Highland Health Board suicide prevention strategy for the 1990s is considered. The articles in this symposium are introduced and the recent UK legal cases involving Ms B and Diane Pretty are included. Counsellors and psychotherapists have always been concerned, to varying degrees, about clients committing or attempting suicide [1]. It is a topic which can trigger much concern and interest with both neophyte and experienced therapists [2]. In the past decade there has been a growth in individual membership of counselling and psychotherapeutic professional bodies with more therapists becoming accredited and/or registered as qualified practitioners. Thus there has been additional pressure on therapists to adhere to professional codes of practice and ethics.To take the correct action and to be seen to take the correct action within client-therapist relationships is now paramount. It could be argued that this has always been the case. However, therapists not working within a professional framework may have had less incentive to act in a professional manner. A proactive approach may be recommended when seeing clients with suicidal ideation and/or intention (Palmer, 1995). In these cases, inaction can sometimes prove fatal so it is incumbent upon the therapist to support and help the client through the difficult period (Curwen, 1997).
Serum Antioxidative Enzymes Levels and Oxidative Stress Products in Children and Adolescents with Type I Diabetes Mellitus

Ad dress for Cor res pon den ce Nilgün Selçuk Duru MD,University of Health Sciences, İstanbul Haseki Training and Research Hospital, Clinic of Pediatrics, İstanbul, Turkey Phone: +90 532 256 40 10 E-mail: nilgunduru@yahoo.com ORCID ID: orcid.org/0000-0001-9105-0529 The study originated from a thesis and has been previously presented at the 4th Çocuk Dostları Kongresi, March-2016, İstanbul/Turkey. Re cei ved: 12.01. 2018 Ac cep ted: 11.04. 2018 Introduction
Computer Science & Systems

The role of information technology and the advancement of the cloud computing have increased the use of the data in everyday life. Data analyzation and data storage become a challenging task during the processing of this large data. In the online applications, the data stream varies with rapid speed and has a larger volume. The recurring concept drift in the data stream makes the classification process to be complicated. Various algorithms discussed in the previous research works have not effectively addressed the problem of detecting the recurring concept drift in the data. The selection of the high-performing classifier model is also a challenging research goal. This research introduces two classification models for classifying the data with the recurring concept drift in the real time environment.
Analysis of Reliability for the Gate Level Fault Tolerant Design using Probabilistic Transfer Matrix method

As semiconductor integrated circuits entered into nanometer dimensions, large variations of parameters and drastic reduction in reliability conditions of the constituent devices may be expected. On basis of these unreliable concerns, the research in fault analysis and development of fault tolerant design methodologies are the growing concern nowadays. Design and development of the fault tolerant model of the system/circuit include two major areas. First, types of fault and the level of fault occurrence at the input and output of the circuit. Second, the analysis of reliability for the logic circuit. The aim of this paper is to improve the reliability and fault tolerance level of the logic circuit by introducing gate level redundancy with respect to the occurrence of transient fault. Triple Modular Redundancy methodology is used to design the fault tolerant model that improves the reliability of the logic circuit. The proposed Probability Transfer Matrix (PTM) algorithm evaluates and compares the reliability of the logic circuit without redundancy and with redundancy by the analytical formulations. The results of circuit reliability with respect to the gate error probability has been simulated for the occurrence of transient faults for the proposed logic circuits. The results have shown better improvement in reliability and fault tolerance level of 0.7% for the proposed logic circuit using gate level redundancy.
Politiques patrimoniales et réhabilitation urbaine au Portugal

L’analyse des politiques patrimoniales et des operations de rehabilitation urbaine au Portugal fait ressortir, dans les quinze dernieres annees, une nette intensification des processus locaux de patrimonialisation. Cette intensification est marquee par trois processus : par une course au titre de patrimoine mondial, par l’importation des modeles mondialises de gestion urbaine et par des formes exacerbees d’animation et d’esthetisation de l’espace. En prenant des exemples concernant les centres historiques de quatre villes portugaises (Coimbra, Guimaraes, Porto et Santarem), nous essayons de mettre en evidence les specificites des politiques patrimoniales et des operations de rehabilitation urbaine au Portugal, afin de rendre compte du caractere experimental qui les faconne et de questionner la « soutenabilite » culturelle de ces politiques et des centres urbains ou elles sont adoptees.
Spiral artery morphology in pregnancies complicated by chronic hypertension : the relation to antihypertensive therapy and to superimposed preeclampsia

Objective: To study the morphological changes in spiral arteries in chronic hypertensive pregnancies, in both antihypertensive treated and non-treated women, and also in women who remain hypertensive only or develop superimposed preeclampsia.Methods: A retrospective study of placental bed biopsies containing at least one spiral artery, taken at cesarean section from 20 women with chronic hypertension. Thirteen of the 20 women were treated with antihypertensive agents and 11 of the 20 women developed superimposed preeclampsia (7 of these were taking antihypertensive drugs). The morphological features of the spiral arteries were reviewed in relation to antihypertensive treatment and to the development of superimposed preeclampsia.Results: Twenty-two decidual and 56 myometrial spiral arteries were studied. In both the antihypertensive treated and the nontreated women, the commonest decidual spiral artery feature was acute atherosis. In the myometrial segments the incidence of disorganization, hyperplasia, an.
An analog front-end signal processor for a 64 Mb/s PRML hard-disk drive channel

Synchronous channel designs, such as partial response maximum likelihood (PRML), are viable for high areal density on a hard-disk drive (HDD). Previously-published PRML channels include a 56 Mb/s channel design but without an on-chip programmable filter, synthesizer or servo demodulator. This 5V BiCMOS integrated circuit contains all the analog front-end functions necessary for a 64Mb/s HDD channel using a rate-8/9 code. <<ETX>>
Haciendo amigos en el campo: cómo convertirse en un etnobotánico. - Una reflexión personal

El enfoque de los estudios etnobiologicos, sus metodos y la participacion de las contrapartes locales en estos han cambiado sustancialmente durante las ultimas decadas. Desde el punto de vista cientifico, la investigacion etnobotanica ha pasado de simples inventarios o listas de plantas utiles a estudios cuantitativos detallados, respaldados por solidos metodos y analisis. Sin embargo, uno de los cambios que resalta mas es la incorporacion de los lineamientos expuestos en el Protocolo de Nagoya, lo que ha permitido que esta ciencia desarrolle investigaciones en las que la participacion de las contrapartes locales es mucho mas activa, pasando de ser solamente las fuentes de informacion a ser los principales actores desarrollando las investigaciones, y de ser solamente mencionados en los agradecimientos a ser autores de las publicaciones que son producto de la investigacion. Todo este proceso ha sido un aprendizaje, que personalmente reflejo en el proceso que ha seguido mi formacion como etnobotanico.
Disaster recovery heuristic

Disaster Recovery Heuristic Sapna Guniguntla Murthy Supervising Professor: Dr. Roy W. Melton A need exists to develop a software simulation that demonstrates the most effective methods of evacuation for disaster scenarios. In a realworld situation this heuristic coupled with real-time data gathered by sensors could serve to provide an efficient rescue plan. Data gathered about the terrain in the immediate aftermath of the situation is invaluable in deciding a plan of action. With this type of information many different routes can be planned so that recovery or rescue can be made as optimal as possible. But of course in any rescue mission speed also is of the utmost importance. This is why we must explore heuristics that make the processing of the collected data faster. The result of this processing must be dependable and must significantly enhance the success of the rescue mission. This work proposes such a heuristic. The results obtained from this heuristic is compared with the results obtained from a process that best mimics an ad-hoc retrieval. Keeping in mind that human ingenuity can never be replaced, in this thesis we create a heuristic that will render a reliable plan of action yielding more predictable results in a disaster recovery situation. Here optimum retrieval means an act of recovery or restoration from any terrain in the most efficient way. Such a process of recovery is very useful when faced with a disaster scenario such as a hurricane or a manmade calamity on a large scale.
Extending the Functionality of Pymote: Low Level Protocols and Simulation Result Analysis

Wireless sensor networks (WSNs) are utilized in various applications and are providing the backbone for the new pervasive Internet, or Internet of Things. The development of a reliable and robust large-scale WSN system requires that the design concepts are checked and optimized before they are implemented and tested for a specific hardware platform. Simulation provides a cost effective and feasible method of examining the correctness and scalability of the system before deployment. In this work, we study the performance of Pymote, a high level Python library for event based simulation of distributed algorithms in wireless ad-hoc networks. We extended the Pymote framework allowing it to simulate packet level performance. The extension includes radio propagation, energy consumption, mobility and other models. The extended framework also provides interactive plotting, data collection and logging facilities for improved analysis and evaluation of the simulated system.
Current Practice Types of Early Mobilization in the Intensive Care Units and Challenges Faced by Nurses Attempting to Translate It into Practice

Aims and objectives: investigate Current practice types of early mobilization in the intensive care units and challenges faced by nurses attempting to translate it into practice. Background: Complications associated with inactivity for critically ill patients result in adverse outcomes. Implementation of protocols requires strategies that have proven to change the behavior of nurses. Whilst early progressive mobilization is known to be safe and useful for patients in an intensive care unit (ICU), challenges still exist to its implementation. Method: A prospective survey of ICU nurses was undertaken from six ICUs in two teaching hospitals in Egypt (Assuit University Hospitals and Al-Mansoura university hospital). A total of 90, nursing staff participated. The survey was designed to investigate the current nurses’ practice type of early mobilization and challenges to its application. Challenges to early progressive mobilization were separated into five sections: patient-related, nurses-related, institutional-related, culture related and process related challenges. Results: Most reported practice types of mobilization were supine, lateral and semi-fowlers type. Patient-related challenges were generally perceived as having the greatest influence on the mobilization of ICU patients, followed closely by institutional-related challenges. The factors that were seen as preventing mobilization were most often hemodynamic instability, reduced level of consciousness, sedation, agitation, impending medical procedure, staff availability, and time constraints. Conclusions: ICU nursing staff perceived that challenges to the early progressive mobilization of ICU patients were multi-factorial and most frequently involved patients’ medical condition and resource limitations.
CD8+ Cytotoxic-T-Lymphocyte Breadth Could Facilitate Early Immune Detection of Immunodeficiency Virus-Derived Epitopes with Limited Expression Levels

Cytotoxic-T-lymphocyte (CTL) responses are important to control the replication of human immunodeficiency virus (HIV) and simian immunodeficiency virus (SIV). Accumulating evidence suggests that the ability of a few immunodominant T-cell populations to detect and kill HIV/SIV-infected cells is important in individuals with a protective major histocompatibility complex class I (MHC-I) allele. ABSTRACT Cytotoxic-T-lymphocyte (CTL) responses are important to control the replication of human immunodeficiency virus (HIV) and simian immunodeficiency virus (SIV). Accumulating evidence suggests that the ability of a few immunodominant T-cell populations to detect and kill HIV/SIV-infected cells is important in individuals with a protective major histocompatibility complex class I (MHC-I) allele. On the other hand, immunization with live(-attenuated) viruses may be effective against superinfection of virulent viral strains regardless of the host’s MHC-I haplotypes, although the underlying mechanisms have not been fully documented. In this article, we propose a hypothesis that the early detection of infected cells in superinfected individuals may be partly facilitated by recognition of diverse CTL epitopes with limited expression levels. We further explain the hypothesis using simple mathematics that was written based on previous in vitro viral suppression assay results and by considering the physical contact of infected cells with CTLs.