Miracle-dz/UniFAR-FTUs huggingface dataset:
An Enhanced Lexical Resource for Text Mining and Sentiment Investigation

In modern era Text Mining and Sentiment investigation is a growing research area, covering over several disciplines such as data mining, text mining, etc. Text mining is a vital art of extracting the texts from the huge set of text set or reviews. Sentiment investigation is a category of natural language processing for tracking the mood of the public about a specific product or theme. The present works of text mining used Sentiwordnet as a lexical resource. The major drawback of this present Sentiwordnet is non-determination of total count, such as it doesn’t offer the specific number of +1, -1 and 0 total words. These data and facts are necessary because without these details of total count if further data mining techniques are applied, it may give erroneous results. To facilitate the text mining task, this work focus on design of Developed Sentiwordnet so that it can produce the count of total words by distinguishing them into +1, -1 and 0 words. Experiments are conducted on standard movie review and product review datasets. These works also make use of Stanford POS tagger for labeling the dataset. The calculated words can be used to enhance the results comparatively better.
Temporal Change in the Match Performance of Football Referees during Youth Top-level Matches: Influence of Match Technical-tactical Data in Same Matches

This study aimed to examine temporal change in the physical demands with respect to a referee's running distance and speed, and heart rate (HR) during Japanese high-school (U-18) and university (U-22) football matches, and to investigate the match technical-tactical data. Additionally, we compared the physical demands and match performance of referees during the U-18 and U-22 matches. Physical performance (15 Hz global positioning system device) and HR of 20 Japanese referees (age, 26.3 ± 3.4 years) were measured from 20 matches (one match dataset per referee). All matches were video ˆlmed to calculate the distance from a foul and match technical-tactical data (passes, shots, fouls, oŠense-defense turnovers, and penetrations into the attacking zone). We found that physical demands were temporarily increased in the last stage of a match. Some technical-tactical data similarly increased in the same stage, suggested that the referees during the U-18 and U-22 matches are required to move around each penalty area and keep up with play in the last stage of a match. Referees' physical demands and match performance were not diŠerent between the U-18 and U-22 matches.
Efficient Medial Voxel Extraction for Large Volumetric Models

Here we propose a method for medial voxel extraction from large volumetric models based on an out-of-core framework. The method improves upon geodesic-based approaches to enable the handling of large objects. First, distance ﬁelds are constructed from input volumes using an out-of-core algorithm. Second, medial voxels are extracted from these distance ﬁelds through multi-phase evaluation processes. Trivial medial or non-medial voxels are evaluated by the low-cost pseudo-geodesic distance method ﬁrst, and the more expensive geodesic distance computation is run last. Using this strategy allows most of the voxels to be extracted in the low-cost process. This paper outlines a number of results regarding the extraction of medial voxels from large volumetric models. Our method also works in parallel, and we demonstrate that computation time becomes even shorter in multi-core environments.
A Nested HDP for Hierarchical Topic Models

We develop a nested hierarchical Dirichlet process (nHDP) for hierarchical topic modeling. The nHDP is a generalization of the nested Chinese restaurant process (nCRP) that allows each word to follow its own path to a topic node according to a document-specific distribution on a shared tree. This alleviates the rigid, single-path formulation of the nCRP, allowing a document to more easily express thematic borrowings as a random effect. We demonstrate our algorithm on 1.8 million documents from The New York Times.
DERIVATIONAL NEOLOGISMS IN CHILDREN'S SPEECH FROM POL ISH AND ENGLISH DATA

This paper constitutes an attempt to discuss the phenomenon of lexical innovations in children’s speech in English and Polish, that is words not adopted from the environment, but constructed on the spur of the moment, possibly in accordance with the word formation rules operating in the two languages. In what follows I will be concerned with both linguistic and psychological factors determining the occurrence of these coinages, as well as the ingenious techniques employed by children for producing novel words, focusing on the morphological differences between English and Polish. What is more, I am going to reflect on the profound influence of lexical innovation on the process of language acquisition. Since this topic is almost inexhaustible, I am forced to limit my considerations only to some aspects of the above mentioned issues. The relevant data have been drawn from several sources. The empirical material available for Polish consists of extensive longitudinal language sampling combined with cross-sectional elicitation studies of children between 2;0 and 6;0 conducted by Chmura-Klekotowa in 1950s and 1960s, who based her work on Baudouin de Courtneay’s parental diaries of his own children between 1887 and 1904. Her elicitation tasks were devised so as to find out which derivational options children preferred when they were asked to form words for unfamiliar objects or actions (Baudouin de Courtneay 1974; Chmura-Klekotowa 1964,1970,1971). Besides, I have carried out detailed longitudinal observations
Literature Survey and issue on Free Space Optical Communication System

Present communication era demand a communication link with high bandwidth, maximum performance, minimum errors and good channel capacity. All these can be well achieved by using free space optical communication system. Because FSO system does not require any license for its establishment and the working. Now this paper consists of detailed survey of FSO system, its advantages, disadvantages and different applications. In FSO system no. of modulation techniques used to modulate information signal at source side like: AM, FM, IM, OOK etc. each FSO system uses a high-power optical transmitter for transmit source signal towards destination and receiving side high sensitivity receiver used. But the atmospheric attenuation is major challenge for faced by FSO systems which affect the performance of the link. The other factors which can affect the FSO are humidity, water vapour, signals absorption, smoke, beam scintillation, spreading and wandering are some of the factors. Keywords— FSO, Modulation Technique, OOK-NRZ-RZ
A Survey of Routing Protocols in Wireless Ad- Hoc Network

Wireless ad-hoc network represents complex distributed system that includes wireless mobile nodes. Wireless mobile nodes that can freely move across network and dynamically create self organize temporary topology. It allows people add devices to internet work in areas where not any infrastructure network create. Networks have been used for only communication between networking application same as ad-hoc network also used. New technologies such as Bluetooth, Infrared, IEEE 802.11 are used to create wireless ad-hoc network. Wireless ad-hoc network mostly used commercial and military application deployment. Now a day's revolution have been generating a renewed and fast internet in the R&D of wireless ad-hoc network. If any nodes want communication with other node within the network a routing protocol is used to find routes between nodes. The main purpose of routing protocol is an efficient route establishment between any pair of nodes, so it can be easily transfer message with in sufficient time manner. The other necessary purposes of protocol are bandwidth and power constraint. Because each node of wireless ad-hoc network is act as a router and Packet forwarder. Bandwidth and power consumption are very demanding issue in now a day's research process in wireless ad-hoc network. Wired network protocols are never used in wireless ad-hoc network because node is mobile. The ad-hoc routing protocol are mainly classified into two class: Table driven and On-demand based. In this paper we review and discuss about routing protocol of each category.
USING MEDICAL OBJECTS FOR CLINICAL RECORDS CLASSIFICATION

ABSTRACT In this paper, medical objects are used as featuresto classify clinical records. Medical objects such as disease names, drug names, symptoms, examination indicators are extracted using an Unstructured Information Management Architecture (UIMA) based system. The extracted medical objects will be used against the "bag-of-words" as the features of the clinical record in some classification algorithms. The results show that the precision of the classification results using medical objects is better in all algorithms, suggesting that medical objects contribute a significant part to the semantic of a clinical record. Keywords.information extraction, healthcare informatics
Monotone response-time derivation for distributed execution of rule-based programs

A key index of the performance of a rule-based program used in real-time monitoring and control is its response time. We first extend the definition of response time of an EQL rule-based program for distributed computation. To reduce the response time through distributed computation, we decompose an EQL program into disjoint modules. We then describe a tool which computes the response-times of finite-state EQL rule-based programs according to the imprecise computation paradigm, i.e., this tool always yields a range which is monotonically tightened as more time is spent in the computation. During the computation, a user can interrupt the analyzer and get both an intermediate result which is a guaranteed bound and a bound-quality factor which quantifies the tightness of this result. Our approach uses fast textual analysis to get initial bounds. It then performs a heuristic search by pruning the state-transition graph to improve the bound quality. A program-decomposition technique for reducing the search effort is also discussed. An analysis example on an EQL program involving 2/sup 59/ states is presented.
Constructing an Affective Tutoring System for Designing Course Learning and Evaluation

Computers and the Internet are indispensable in modern life. Increasingly useful digital environments and technological developments have reshaped models of knowledge acquisition. Studies on the development of online learning have yielded valuable insights. In the design of online teaching systems that can replicate face-to-face teaching, user-friendly design is a key factor determining whether a system is immediately accepted by users. In this study, we designed an affective tutoring system (ATS) for curriculum teaching. Participants’ learning processes were recorded during ATS teaching sessions. Negative emotions in the participants were recognized in real time and recorded in a learning state database. We determined the learning outcomes of students who were taught using the ATS or normal online learning. The experimental results indicated that the ATS is an effective tool and significantly improves learning outcomes.
Atom sharp needles, the missing link in microneedle drug delivery

The skin barrier function is a major challenge for delivery of drugs via the skin. Located in the outermost layer of the skin, the stratum corneum (SC) consists of dead cells embedded in lipid regions, only 10-20 microm thick, tough but flexible and elastic. Hyperdermic needles penetrate the skin succesfully, but nerve rich tissue in the lower skin is penetrated which is simply painfull
Neural networks and fuzzy logic in intelligent control

An introduction to fuzzy controllers and neural network controllers is presented, and methods for merging their capabilities to design hybrid neurofuzzy controllers (NFCs) are discussed. NFCs provide the knowledge representation power of fuzzy controllers and the learning capabilities of artificial neural networks. Several examples are given to contrast the architecture of the NFCs with individual fuzzy controllers or neural network controllers. The major elements of neurocontrol, a term used to refer to the neural networks that serve as controllers, are reviewed, with special emphasis on the learning behavior of these networks. Recent research on integrating neural networks with fuzzy logic control is outlined. It is shown that both of these techniques can use interpolative reasoning, which enables them to go beyond the traditional true-false restriction of the artificial intelligence symbolic methods. <<ETX>>
Using Fluid Power Workshops to Increase STEM Interest in K-12 Students

Dr. John Lumkes is an associate professor in agricultural and biological engineering at Purdue University. He earned a BS in engineering from Calvin College, an MS in engineering from the University of Michigan, and a PhD in mechanical engineering from the University of Wisconsin-Madison. His research focus is in the area of machine systems and fluid power. He is the advisor of a Global Design Team operating in Bangang, Cameroon, concentrating on affordable, sustainable utility transportation for rural villages in Africa.
Confidential Query Building in Cloud using KNN-Query Processing

With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be sensitive that the data owner does not want to move to the cloud unless the data confidentiality and query privacy are guaranteed. On the other hand, a secured query service should still provide efficient query processing and significantly reduce the in-house workload to fully realize the benefits of cloud computing. We propose the RASP data perturbation method to provide secure and efficient range query and kNN query services for protected data in the cloud. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random noise injection, and random projection, to provide strong resilience to attacks on the perturbed data and queries. It also preserves multidimensional ranges, which allows existing indexing techniques to be applied to speedup range query processing. The kNN-R algorithm is designed to work with the RASP range query algorithm to process the kNN queries. We have carefully analysed the attacks on data and queries under a precisely defined threat model and realistic security assumptions. Extensive experiments have been conducted to show the advantages of this approach on efficiency and security.
Dificultades para el fomento de una comprensión reflexiva en el ámbito de la disciplina psicológica

In this work we analyze the difficulties for fomenting a reflective thought on psychology’s learning and teaching. There are important elements to approach this question: the paradigmatic diversity of psychological discipline, the tensions among different theoretical and practical perspectives, the role of ideologies, beliefs and attributions in the construction of the knowledge. We study the reasonings elaborated by a group of 40 Psychology students. These reasonings were about the relations between culture and school failure. They were initially elaborated individually and later there was a joint debate. We demonstrate the difficulty for applying sociocultural reasonings to explain the school problematics. It seems that this fact is related to the potential contradictions created between own beliefs or opinions and the study materials provided. We believe that to be able to show these difficulties and contradictions turns out to be fundamental to generate an authentic reflective process in learning.
The Effects of an Information-Technology Gifted Program on Friendship Using Scratch Programming Language and Clutter

Abstract—This paper seeks to examine the effects of an information technology gifted class on friendship through the use of the scratch programming learning environment connected via the clutter website. Scratch is an educational programming language developed by MIT Media Lab. The strong points of Scratch include a framework based on Piaget’s constructivism, its development of 21 st century skills, enhancement of problem solving abilities, and so on. However, Scratch only allows for limited collaborations. As the module is used individually, groups of people cannot simultaneously create a program. Furthermore, gifted children find it difficult to make friends due to their lack of sociability in contrast to their excellent study results. Fortunately, the Clutter platform as part of the Scratch educational program allows for collaboration and thus, enables students to develop friendships. In this context, we sought to improve the friendship of gifted children using a teaching-learning method based on the Scratch educational programming in tandem with clutter. Our findings support the idea that effective pedagogical programming in 21 st
S-ISTA and Brothers : a Dynamic Screening test principle for the Lasso

The Lasso is an optimization problem devoted to find a sparse rep- resentation of some signal with respect to some predefined dictio- nary. We propose an original and computationally efficient method to solve the Lasso problem. Our method rests upon the idea of dynamic screening test and allows us to accelerate first-order algo- rithms. At each iteration we take advantage of the computation done for the optimization process to reduce the size of the dictionary by discarding elements that will surely not enter the sparse represen- tation. As this screening step is not expensive, the computational cost of the algorithm using the dynamically screened dictionary is cheaper than the standard algorithm. Numerical simulations on syn- thetic and real data support the relevance of our approach.
ARABIC/PERSIAN TEXT STEGANOGRAPHY UTILIZING SIMILAR LETTERS WITH DIFFERENT CODES

ناآ دقل رهوج ،ةيفخ ةفصب تامولعملا لاسرإ و لاصتلاا عوضوم مدقلا ذنم مامتهلاا و ديعب نمز ذنم عساو لكشب مدختست ةيصنلا قئاثولا تناآ ، صوصنلا يف تامولعملا ءافخلإ ةفلتخم اقرط مويلا ىتح نمز ذنم دهشن نحن كلذل ) Text Steganography . ( لاقملا اذه نإ ط لوانتي ةيبرعلا و ةيسرافلا صوصنلا يف تامولعملا ءافخلإ ةديدج ةقير . و دوآ ينويلا ةفصاوم يف دجوي ) Unicode ( ءايلا فرحل نافلتخم نازمر » ى « ، فاكلا فرحل كلذآو » ك « يتلا تلااحلا يف هنإ ثيحب ةيبرعلاو ةيسرافلا نيتغللا يف نوكي اهيف وكي اهطسو يف وأ ام ةظفل لوأ يف نافرحلا نيفلتخم نيدوآ امهل نأ ريغ ،دحاو لكش امهيزمرل ن . هيلعو نكمي تلاحل صنلا يف تامولعملا ءافخإ ي دوجو فرح ي فاكلاو ءايلا دوصقملا تامولعملا ىلإ رظنلاب اهطسو يف وأ ةظفللا لوأ يف نم اهؤافتخا نيزمرلا دحأ مادختسا للاخ . و ةقيرطلا هذه قيبطت مت دق ةطاسوب افاج ةغل ) Java ( ةجمربلل .
Enhancing Student Learning of Enterprise Integration through ERP Simulation Game

Difficulty of teaching concepts of business processes and business process orientation using traditional teaching and learning methods is well recognized in the literature. This paper reports on the effectiveness of an initiative that employs ‘ERPSim’, an ERP Business simulation game that uses a simulated and complex business environment supported by industry standard software, SAP. Using this simulation game, this initiative aims to teach process concepts and enterprise integration to students who have no practical experience and limited understanding of business operations and information systems in an Australian Business school. Analysis of the data indicates the success of this initiative, despite some operational problems for the academics and cognitive challenges to some students. The study particularly reports improvement in the understanding of the concepts of integration and business processes, the primary objective of introducing this game. Based on the feedback from participants and the experience of academics in administering the ERP Sim game, this study offers some suggestions for further improvement.
REQUIREMENT UNDERSTANDABILITY QUANTIFICATION MODEL OF OBJECT ORIENTED SOFTWARE

Understandability has significant role in development of quality software; it incredibly impacts cost, quality and unwavering quality at the time software development (especially at early stages of development). Wrong interpretation prompts ambiguities, misconception and thus the misinterpretations of further development process and the related records, which frequently results to defective development. Notwithstanding the way that understandability is essential and very critical viewpoint for software development process. Understandability is considered as basic building block for delivering high quality and reliable software. It greatly influences cost, quality and reliability at the time of software evolution. In this paper, author highlights the importance of understandability early at requirement phase in general and as a factor of software testability. The paper quickly portrays the proposed model for understandability quantification of object oriented software [RUMOOS] by establishing multiple linear regressions. Finally the proposed model has been validated using experimental tryout.
Comparison of service disciplines in G/GI/m queues

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Comparison of service disciplines in G/GI/m queues Serguei Foss
Tackling the Awkward Squad: monadic input/output, concurrency, exceptions, and foreign-language calls in Haskell

Functional programming may be beautiful, but to write real applications we must grapple with awkward real-world issues: input/output, robustness, concurrency, and interfacing to programs written in other languages. These lecture notes give an overview of the techniques that have been developed by the Haskell community to address these problems. I introduce various proposed extensions to Haskell along the way, and I offer an operational semantics that explains what these extensions mean. This tutorial was given at the Marktoberdorf Summer School 2000. It will appears in the book “Engineering theories of software construction, Marktoberdorf Summer School 2000”, ed CAR Hoare, M Broy, and R Steinbrueggen, NATO ASI Series, IOS Press, 2001, pp47-96. This version has a few errors corrected compared with the published version. Change summary:
Reliability growth of fault-tolerant software

The influence of reliability growth of the fault-tolerant software components on the reliability of the software system in operation is modeled and estimated. Two fault-tolerant software techniques are investigated: recovery block and N-version programming. For each, the stable reliability model is transformed into a model that considers reliability growth using a transformation approach based on the hyperexponential model. Analytic and numeric processing of the transformed models identify the influence of fault removal on the reliability of the fault-tolerant software approaches. The modeling approach is based on the transformation of a Markov chain of the fault-tolerant software system in stable reliability into another modified Markov chain that enables reliability growth to be considered. This approach allows reliability growth relative to the classes of faults affecting fault-tolerant software to be identified and evaluated. The evaluations apply to systems of short successive mission durations with respect to the system lifetime. Using generalized stochastic Petri nets to model the fault-tolerant software system allows for an automatic application of the transformation technique. >