Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of nonlinear effects on 6.4 Tb/s dual polarization quadrature phase shift keying modulated dense wavelength division multiplexed system

In this paper, we have proposed a high‐performance transmission system of 32 channels based on dense wavelength division multiplexing (DWDM) through an optical fiber link consisting of 110 km per span. To check the influence of nonlinear effects, we have considered phase modulation (SPM), cross‐phase modulation (XPM), four‐wave mixing (FWM), stimulated Raman scattering (SRS), and self‐steepening (SS) which limits the performance of optical communication systems. In the proposed system, each channel is modulated at 200 Gbps of dual‐polarization quadrature phase shift keying (DP‐QPSK) format, with a 50‐GHz grid yield whole data rate of 6.4 Tbps. The results have proved that the nonlinear phenomena degrade the performance of proposed optical fiber communication systems, and XPM has the most dominant effect, followed by SS, SRS, and SPM. The simulation was carried out with Optisystem 14 which is powerful software for modeling and simulation of optical fiber transmission.
Can Virtue Be Taught? The Evolution of the Lighthouse Effect

The teaching of English and the teaching of ethics—can they be done together effectively? And should they be? Debate engulfs the topic of ethics, or character, education. Some argue that by the high school years, values are too intrinsically ingrained, and, therefore, are resistant to change through education. On the other side of the debate are people who argue that values must be a part of every student's educational experience. With each Jonesboro, Springfield, West Paduca, Pearl, and Colombine, the debate has raged. Since the terrorist attacks of September 11, 2001, the voice for ethics John Knapp is chair of education has grown even louder. The message is no the Communications longer if, but, also, what, and, especially, whose? Can Department and virtue be taught? chairman of the Senior The purpose of this study was to chart the effects of Project Executive a year-long emphasis on selected moral readings Council at Buhler High from the classical literary genre in a high school School in Buhler, senior English class. Every effort was made to in Kansas, and Tonya elude works of a multicultural, multi-ethnic nature. Huber is a professor in Students were encouraged to explore the nature of the Department of ethics, morals, and values in a number of ways, Curriculum and including 3D personal codes and narratives. At the Instruction of the end of the academic year of this study, a series of College of Education at events provided the evidence of how students had Wichita State University, internalized the concept of virtue and determined to Wichita, Kansas. act on their beliefs.
Lexically specified derivational control in combinatory categorial grammar

This dissertation elaborates several refinements to the Combinatory Categorial Grammar (ccg) framework which are motivated by phenomena in parametrically diverse languages such as English, Dutch, Tagalog, Toba Batak, and Turkish. I present Multi-Modal Combinatory Categorial Grammar, a formulation of ccg which incorporates devices and category constructors from related categorial frameworks and demonstrate the effectiveness of these modifications both for providing parsimonious linguistic analyses and for improving the representation of the lexicon and computational processing. I begin by introducing the various grammar frameworks which set the background for this dissertation and then discuss aspects of providing substantive universals for the theory of ccg. Most importantly, I lay out some of the components necessary for providing a theory of the lexicon, outlining previous approaches and suggesting directions forward. I then turn to a description of the syntactic extraction asymmetries found in English, Tagalog, and Toba Batak and the word order flexibility of Tagalog and Turkish, and discuss previous approaches to handling the data. Having explicated the foundations and the linguistic motivations for the dissertation, I show how the multi-modal perspective on grammatical composition provided by the logical tradition of categorial grammar can be incorporated into ccg’s rulebased approach. The enhanced resource-sensitivity of this perspective allows me to utilize an invariant rule component, controlling the applicability of the combinatory rules via lexical specification rather than with constraints on the rules themselves. This control is shown to be necessary for many aspects of English syntax, and I furthermore demonstrate that the multi-modal approach can improve upon existing ccg analyses for English and Dutch. The second major development is a redefinition of categories and combinatory rules which relaxes the strict ordering inherent in categories that is normally assumed in categorial grammars. The manner in which this is done permits an intuitive account of local scrambling behavior without increasing the generative power of the system. Bounded long-distance scrambling is handled with the same mechanisms as ccg – type-raising and crossed composition rules. I furthermore show how the resource-sensitivity of the system effectively limits the permutative possibilities for some constructions in the otherwise quite free grammar of Turkish. Having thus motivated and developed the multi-modal ccg system, I present
Global Bibliometric Analysis of the Research in Biochar

ABSTRACT Global interest in studying biochar stems from its ability to sequester carbon in soil and render nutrients and moisture more readily available to root systems. Therefore, a bibliometric analysis was conducted to investigate global scientific publications related to biochar research, providing insight into the number of articles published, journal platforms, subjects, citations, and overall trends. The primary databases employed were the Web of Science and Science Citation Index. A total of 1,697 articles published between 2000 and 2015 were evaluated. This systematic bibliometric analysis will assist research groups and individuals to understand global biochar research trends and focus future research. The influence of biochar on soil, plants, and the environment continues to require greater attention.
Recherches sur les marqueurs moléculaires de l’arôme de « fruits cuits » des raisins et des vins rouges issus des cépages Merlot et Cabernet-Sauvignon : Approches sensorielle, analytique et agronomique

Depuis les annees 2000, les odeurs de fruits cuits, evoquant le pruneau, la figue, ou encore la peche cuite sont de plus en plus frequemment retrouvees dans les vins rouges de la region bordelaise. Les marqueurs responsables de ces nuances associes a l’etat de maturite des raisins sont inconnus. Dans un premier temps, nous montrons que ces nuances, qui etaient jadis tres rarement rencontrees dans les vins d’une appellation que nous avons appelee A, figurent aujourd’hui parmi les aromes consideres comme typiques de ces vins. Cependant, les degustateurs qui assimilent ce caractere au type de cette appellation tendent a confondre l’arome de fruits cuits du vin jeune a celui du caractere oxyde des vins prematurement vieillis. Les analyses par CPG-O, CPG-SM et CPG-CPG-SM de mouts et de vins marques par des nuances de fruits cuits ont permis de valider l’existence de zones odorantes rappelant l’odeur de ces echantillons. L’analyse par GC-MS de nombreux echantillons de mout et de vin montrent que le furaneol (caramel), la γ-nonalactone (coco, peche cuite), la (Z)-1,5-octadien-3-one (geranium) contribuent a cet arome. Nous revelons egalement l’existence d’un compose a odeur de fruits cuits, de type lactone et non identifie a ce jour. L’impact de la (Z)-1,5-octadien-3-one est clarifiee pour la premiere fois dans les mouts. Nous precisons egalement l’incidence de la date de recolte des raisins de Merlot et Cabernet-Sauvignon sur l’arome et la composition fine des mouts et des vins. La vinification de raisins recoltes tardivement voire fletris produit des vins marques par des nuances de fruits cuits accompagnees de teneurs elevees en furaneol et γ-nonalactone.
The role of immune checkpoint inhibitors in prostate cancer.

INTRODUCTION Prostate cancer (PC) is the most commonly diagnosed malignant tumour and the third cause of cancer deaths among men in Europe. The treatment of early-stage PC is very effective and in many cases allows achievement of a complete cure, whereas the treatment of metastatic prostate cancer (mPC) is still a huge challenge for clinicians. New therapeutic strategies for mPC are urgently needded. One of the most promising methods of treatment is anticancer immunotherapy including the monoclonal antibodies against immune checkpoint inhibitors. OBJECTIVES To present the potential possibilities of using checkpoint inhibitors blockage in the treatment of mPC, and to overview the results of recent research on immune checkpoint inhibitors in patients with PC. STATE OF KNOWLEDGE Recent studies suggest that monoclonal antibodies directed against immune checkpoint inhibitors in combination with traditional therapy may become a breakthrough in the treatment of mPC in the near future. CONCLUSIONS The immunotherapy using monoclonal antibodies against immune checkpoint inhibitors seems to be a new opportunity for patients with advanced PC. The key to achieve the maximum anti-tumour response is to choose the best candidates for this therapy and determine the optimal sequence and combination of drugs. The introduction of immunotherapy as the standard treatment of patients with advanced PC requires further studies.
Quality of Service Aware Reverse Pathad-Hoc On-Demand Distance Vector Protocol

Mobile Ad-hoc Network (MANET) is aninfra structureless network that does not require any built-in infra structure and central control. Due to very fast mobility of nodes, there will be drastic changes in the network topology. So an adaptive routing protocol is needed for effective and reliable routing in MANET. Ad-hoc On-demand Distance Vector (AODV) routing protocol is the efficient and prominent routing protocol which may satisfy the above said issue. While making routing process in traditional AODV,onlyone route information will be sent as reply in the reverse path. This reply from the destination may be lost due to fast mobility of modes which in turn leads to the retransmission of route request packets to establish routes.The main cause of this problem is increased communication delay and reduction of several QoS metrics. The main goal of the new Novel QoS aware reliable routing algorithm is to send multiple route replies and establishes reliable data transmission between source and destination. The new NQARR-AODV protocol establishes paths on-request using a reliable reverse pathestablishment method. During pathestablishmentphase, the source node first sends the route requests through all available paths to the destination. The destination node,upon receiving the path requests,inturn rebroadcasts the reverse path requestsas like sender node has done. Upon receiving the multiple route replies from the destination, a path with high reliability is choosen by the source node using the three parameters, the MAC overhead, the Eminence of Link, node residual energy. NQARR-AODV path establishment method works well and requires only minimum steps. It also provides high energy efficiency and load balancing thus prolongs the network life time and makes up high reliability communications. The experimental values prove that the NQARR-AODV algorithmis more reliable and stable and outperforms AODV by reducing energy consumption, overhead and delay. Also NQARR-AODV gains bestratio of packets delivered than that of normal AODV. In our proposed NQARR-AODV protocol, the source node can find QoS aware reliable route to the destination.
An Autonomous Transportation Robot for Urban Environments

The transportation of goods is a central task of today’s economy. The cheap transportation of goods allows the wide spread of today’s internet based sales. To perform such transportation tasks one currently relies on humans. This imposes constraints when the transportation can be performed and imposes constraints on the costs. To address this time and cost constraints an automatic transportation of goods is preferred. Such an automatic transportation can be performed by an autonomous robot, as the ones used in warehouse environments. Although such environments are diverse and undergo a certain amount of change they are still rather static environments. To allow robots to perform the transportation in outdoor environments several problems need to be tackled. One needs to deal with large operation areas, uneven ground, and dynamic objects. In this paper, we present a robot system which can cope with these problems and allows to perform transportation tasks in outdoor environments. The focus of this paper will be on the localization and navigation of the robotic in the outdoor environment allowing the robot to perform outdoor deliveries.
Cilostazol and peripheral arterial disease

Peripheral arterial disease is both common and disabling. Contemporary management of peripheral arterial disease is multimodal, encompassing both medical and interventional treatments. Cilostazol (Pletal™), a 2-oxoquinolone derivative, is currently licensed in the UK for the treatment of patients with intermittent claudication to improve their walking distance in the absence of tissue necrosis or rest pain. The therapeutic effects of cilostazol are thought to be mediated through antiplatelet, antiproliferative and vasodilatory activities. This review aims to provide an overview of the management of peripheral arterial disease focusing upon cilostazol pharmacotherapy.
Autenticación multifactor con el uso de un sensor kinect

En este trabajo se desarrollo un sistema de autenticacion multifactor empleando el sensor Kinect y equipo de computo. Se utilizo programacion en lenguaje C# con el ambiente de desarrollo y las herramientas que provee el fabricante para el sistema operativo Windows. Se eligio una combinacion de metodos de autenticacion con el fin de reducir la capacidad que tiene un usuario no autorizado de ser elegible para tener acceso a un determinado sistema o lugar. Se seleccionaron cinco metodos para conseguir la autenticacion multifactor, cubriendo las tres categorias de metodos de autenticacion: Llaves de informacion, Llaves fisicas y Llaves biometricas, basadas respectivamente en algo que la persona sabe, algo que la persona posee y algo que la persona es. Se consiguio un sistema de autenticacion confiable, robusto y sencillo de usar, privilegiando la confiabilidad y disminuyendo la complejidad de cada uno de los metodos individuales. Se demostro que es posible desarrollar un sistema de autenticacion multifactor con un sensor Kinect.
mstate: An R Package for the Analysis of Competing Risks and Multi-State Models

Multi-state models are a very useful tool to answer a wide range of questions in survival analysis that cannot, or only in a more complicated way, be answered by classical models. They are suitable for both biomedical and other applications in which time-to-event variables are analyzed. However, they are still not frequently applied. So far, an important reason for this has been the lack of available software. To overcome this problem, we have developed the mstate package in R for the analysis of multi-state models. The package covers all steps of the analysis of multi-state models, from model building and data preparation to estimation and graphical representation of the results. It can be applied to non- and semi-parametric (Cox) models. The package is also suitable for competing risks models, as they are a special category of multi-state models. This article offers guidelines for the actual use of the software by means of an elaborate multi-state analysis of data describing post-transplant events of patients with blood cancer. The data have been provided by the EBMT (the European Group for Blood and Marrow Transplantation). Special attention will be paid to the modeling of different covariate effects (the same for all transitions or transition-specific) and different baseline hazard assumptions (different for all transitions or equal for some).
Fundamentals of speech synthesis and speech recognition: basic concepts, state-of-the-art and future challenges

Partial table of contents: Fundamentals of Phonetic Science (E. Keller). Prosodic Aspects of Speech (S. Werner & E. Keller). Pauses and the Temporal Structure of Speech (B. Zellner). STATE OF THE ART (E. Keller & J. Caelen). Text-to-Speech Synthesis: An Introduction and a Case Study (B. Pfister & C. Traber). Formant Synthesis (T. Styger & E. Keller). CHALLENGES (E. Keller & J. Caelen). The Prediction of Vowel Systems: Perceptual Contrast and Stability (L.-J. Boe, et al.). Semantic and Pragmatic Prediction of Prosodic Structures (G. Caelen-Haumont). Multimodal Human-Computer Interface (J. Caelen). Index.
Revisão da dimensão isolamento do inventário dimensional clínico da personalidade

The present study aimed to review the Isolation dimension of the Dimensional Clinical Personality Inventory (DCPI). The method was divided in two steps, the fi rst focused on developing new items based on the literature, and the second for testing the psychometric properties of the new items dataset. The DCPI plus the Revised NEO Personality Inventory (NEO-PI-R) and the Personality Inventory for DSM-5 (PID-5) were applied in a sample of 213 subjects aging between 18 and 69 years (M = 25.56; SD = 8.70), with predominance of women (74.3%) The fi rst step resulted in 39 items, of which 28 were new. The second stage results on a composite of 18 items, in four interpretable factors based on the internal structure analysis, Individualism, Social Isolation, Intimacy Avoidance and Emotional Apathy with internal consistency coeffi cients of . 88 for total, and higher then . 75 for each factor. The correlations of the scale with NEO-PI-R and PID-5 revealed consistent and expected effect sizes. The data reveal the adequacy of the new Isolation dimension of DCPI.
Introductory digital signal processing with computer applications

From the Publisher: The remarkable increase in the speed and power of digital computers and special purpose hardware over recent years has ensured the continued growth of interest in digital signal processing (DSP). This second edition is being published in response to these changes. It includes new material on Random Digital Signals and Random DSP, as well as new and improved software that illustrates the techniques described in the book.
Multilevel Risk Prediction of Cardiovascular Disease based on Adaboost+RF Ensemble Learning

Background: In the field of diagnostic CVD, the predecessors used a large amount of data with no missing two-category data, and obtained good results. However, in the process of electronic input of historical data, a large number of data attribute values are missing, and there are multiple levels of disease risk. Goal: On the data set of imbalance and a large number of missing values, this paper focuses on the five levels of cardiovascular disease. Methods: A new prediction model of Adaboost+RF is constructed by using the information gain ratio to analyze the feature contribution degree of the data set. The performance of this model is evaluated with Precision, Recall, F-measure and ROC Area values. Results: The results show that the four key indicators of the Adaboost+RF model on five-categories unbalanced datasets in Precision, Recall, F1 and AUC values, which are 40.9%, 49.3%, 41.4% and 71.6%. Conclusion: The experiment results demonstrate that the four key indicators of the Adaboost+RF model on five-category unbalanced missing datasets are better than other machine learning algorithms.
An Ontology Construction Method for Knowledge Organization in Interdisciplines - Taking “Discipline of Computer Science and Technology” as an Example

The existing construction methods for knowledge organization rarely address the development trend of interdisciplinary cross and fusion. In this paper, we propose a method of ontology construction to address fusion of subjects knowledge for the knowledge management of interdisciplines. We apply this method to the discipline of computer science and technology as a concrete case, highlight the parts of collecting and analyzing interdisciplinary knowledge, and determine ontology concepts of discipline knowledge and their relationships to emphasize the cross and fusion of discipline knowledge.
The Sound of Decentralization-Sonifying Computational Intelligence in Sharing Economies; Proceedings of the 23rd International Symposium on Electronic Art (ISEA 2017)

Pervasive technologies in socio-technical domains such as smart cities and smart grids question the values required for designing sustainable and participatory digital societies. Privacy-preservation, scalability, fairness, autonomy, and social-welfare are vital for democratic sharing economies and usually require computing systems designed to operate in a decentralized fashion. This paper examines sonification as the means for the general public to conceive decentralized systems that are too complex or non-intuitive for the mainstream thinking and general perception in society. We sonify two complex datasets that are generated by a prototyped decentralized system of computational intelligence operating with real-world data. The applied sonification methodologies are largely ad-hoc and address a series of concerns that are of both artistic and scientific merit. We create informative, effective and aesthetically meaningful soundworks as the means to probe and speculate complex, even unknown or unidentified, content. In this particular case, the sonification represents the constitutional narrative of two complex application scenarios of decentralized systems towards their equilibria.
Social Network User’s Content Personalization based on Emoticons

The social networks help sharing user’s multidimensional content which includes text, image, audio and video at any time. Emoticons are helpful in precise content sharing as an alternative of text and need to be analyzed for sharing of the right content. The content being shared mostly reflects the behavioral characteristics of the users and imitates their emotions.Therefore, each emoticon needs to be mapped with standard emotions. The emoticons proposed by Unicode consortium are considered and mapped with nine basic emotions such as love, happiness, pity, furious, heroic, fearful, disgust, wonder and peace. A prediction model based on decision tree classifier is designed to classify user’s contentaccording to the emotions expressed through the emoticons, especially for tweets. The designed methodology is demonstrated using two thousand tweets. Tweets are adopted for its simplicity and limited processing with only hundred and forty characters. The outcome obtained by applying the designed methodology provided satisfactory results of 83% accuracy which is more than the average accuracy (75%) of standard machine learning classification process. Therefore, it is possible to guess the behavior of the users through sharing the different forms of emoticons at various instances. This classification of users’ content would reflect the dominant emotions possessed by them. This finding helps in understanding the basic nature of an individual in social networks. Having identified the basic nature of an individual through emoticons, it is very easy to personalize the user’s social network page to filter disinterested and disgusting content at any time.