Miracle-dz/UniFAR-FTUs huggingface dataset:
Liposarcoma within uncinate process of pancreas revealing valuable multidisciplinary therapy : a case report and review of the literature

Primary liposarcoma is an extremely rare mesenchymal tumor in the pancreas other than adenocarcinoma with different biological behavior. The present paper reports such a rare case who was a 69-year-old male. After the onset of gradually exacerbating right quandary stomachache and referred back pain, computed tomography (CT) examination revealed a mass located in the uncinate process of pancreas which was near several important vessels such as inferior vena cava, superior mesenteric vein and artery, common hepatic artery and its origination at celiac trunk and judged to be borderline resectable. after a multidisciplinary consultation, he was implemented with Whipple’s procedure with total mesopancreatic excision to reach R0 margins and adequate lymphadenectomy. The pathologic result showed liposarcoma with three subtypes. Then postoperative adjuvant chemo and radiotherapy were carried out. While reporting this rare case, we also reviewed the cases published and made a conclusion of the features, aiming at improving our understanding of pancreatic liposarcoma so that we can make accurate diagnoses and treatment.
Compressor Design Method in the Supercritical CO 2 Applications

The supercritical CO2 Brayton cycle has been recently attracting more attention compared to other common energy conversion cycles, chiefly due to its higher thermal efficiency with the relatively low temperature at the turbine inlet compared to its conventional counterparts. Centrifugal compressor operating conditions in the supercritical Brayton cycle are preferably located near the critical point to get advantage of low compressibility factor and eventually low compressor work. In this paper, the design of the compressor using the enthalpy loss models in the supercritical CO2 region is investigated and the accuracy of the loss models near the critical using real gas is validated. Due to high density of the working fluid near the critical point, compressor size is relatively small. It is noticed that, the friction loss plays a significant role among all loss sources. Therefore, more attention is paid on the skin friction loss and friction coefficient estimations. Results are compared to the experimental measurements conducted at Sandia National Laboratories.
Bedrock Structure Estimation Using Microtremors in Kochi Plain , Japan

Microtremor measurements using arrays of sensors were conducted at a site in the Kochi plain, Japan, where is highly at risk of damage due to the forthcoming Nankai earthquake. The spectral analyses of the array records yield dispersion characteristics of Rayleigh waves and horizontal-to-vertical (H/V) spectral ratio of surface waves, and joint inversion of these data results in S-wave velocity (VS) profile down to cherty bedrock with VS over 1 km/s at the site. Conventional microtremor measurements using one three-component sensor were performed at 125 stations in the Kochi plain, resulting in the H/V spectra within the plain. Based on relationship between H/V peak periods of microtremors and depths to cherty bedrock from the inverted VS profile and available borehole data, two-dimensional bedrock structures across the plain are roughly estimated. This confirms that the microtremor method could be an effective tool for estimating multi-dimensional bedrock structure of sedimentary deposit.
Queer Games After Empathy: Feminism and Haptic Game Design Aesthetics from Consent to Cuteness to the Radically Soft

Following critiques of the framework "empathy games" by queer games artists including EMPATHY MACHINE (merritt k, 2014), Empathy Game (Anna Anthropy, 2015), and empathy machine (Mattie Brice, 2016), this article historicizes the empathy debate, offering new directions for queerness and games in the realm of affect, intersubjectivity, and embodiment. Linking queer artists' critiques of empathy in games to feminist critiques of empathy (including Saidiya Hartman [1997], Sara Ahmed [2004], and Clare Hemmings [2012]), the author argues that the genre of "empathy games" must be understood in a continuum of videogame studies, feminist theory, and history. Finally, the piece develops new terms for queer game studies drawn from haptic game design aesthetics, including consent, cuteness, and radical softness, through readings of Curtain (Llaura Dreamfeel, 2014), Hurt Me Plenty (Robert Yang, 2014), SABBAT: Director's Cut (Eva Problems, 2013), and The Truly Terrific Traveling Troubleshooter (Jess Marcotte and Dietrich Squinkifer, 2017).
Towards the Automatic Resolution of Anaphora with Non-nominal Antecedents: Insights from Annotation

This paper deals with a particular form of anaphora in which the anaphors refer to non-nominal antecedents. We investigate two existing datasets, annotated with pronominal and nominal anaphors (shell nouns) respectively, and attempt to determine to what degree the different types of anaphors provide useful hints as to the form and location of their antecedents. To this end, we look at the distribution of the antecedents, their syntactic form, and their semantic content. In particular, as the difﬁ-culty of annotating the phenomenon constitutes a major hurdle to the development of larger datasets, we take a close look at the agreement between annotators and relate this to the different types of anaphors.
GIS and Archaeological Survey Data : Four Case Studies in Landscape Archaeology from the Island of Kythera ( Greece )

This paper uses GIS and quantitative analysis to explore a series of simple but important issues in relation to GIS-led survey. We draw on information collected during intensive archaeological field survey of the island of Kythera, Greece, and consider: (i) the relationship between terracing and enclosed field systems; (ii) the effect of vegetation on archaeological recovery; (iii) site definition and characterization in multi-period and artifact-rich landscapes, and; (iv) site location modelling, which considers some of the decisions behind the placing of particular Bronze Age settlements. We have chosen GIS and quantitative methods to extract patterns and structure in our multi-scalar dataset, which demonstrates the value of GIS in helping to understanding the archaeological record and past settlement dynamics. The case studies can be viewed as examples of how GIS may contribute to four stages in any empirically based landscape project insofar as they move from the spatial structure of the modern landscape, to the visibility and patterning of archaeological data, to the interpretation of settlement patterns.
Anthropometric Factors And Physical Condition Dominant Determining Overhead Throws And Batting Skills

Anthropometric factors and physical condition, among others, height, arm length, arm muscle strength, hand-eye coordination, balance, and reaction time. This research goal is to determine the anthropometric factors and the physical condition of the dominant determinant of overhead throws and batting skills in softball. This research approach uses a quantitative to design of confirmatory factor analysis. This research population is training student achievement softball in Sports Education University of Riau. A sample of 100 people was obtained through a proportional random sampling technique. The data used are taken through a series of tests of the independent and dependent variables. This research method through testing confirmatory factor KMO and Bartlett’s Test analysis using SPSS Results from this research is: factor of Anthropometry and dominant physical condition determinants is arm length with value 0,818, arm muscle power with value 0,751, hand eye coordination with value 0,837 and balance with value 0,775. The conclusion of this research is: the factor of Anthropometry and dominant physical condition determinants overhead throws skill and batting skill in game of softball is arm length, the arm muscle power, the hand eye coordination and balance. While the factors not determine is height and reaction time. Keywords— anthropometri factor, physical condition, overhead throw, batting skill
Dictionary-based sentiment analysis of Hinglish text and comparison with machine learning algorithms

With the recent development of web 2.0, there has been a lot of increase in social networking and online marketing sites. The data obtained from these sites are analysed for better human decision making. Sentiment analysis involves extraction of sentiments from reviews. Sentiments can be positive, negative or neutral. Most of the content on the internet is in the English language, but with the improved awareness of people, data in other languages is increasing gradually. Not much work has been done in Indian languages. Hinglish, a mixture of Hindi and English, is an informal language which is exceptionally famous in India as individuals feel greater talking in their language. In this paper, we present a dictionary-based approach for Hinglish text classification. We also implemented traditional machine learning classification algorithms such as SVM, NB and ME for comparison. It is found that for Hinglish text, dictionary-based classification gives best accuracy results.
Probe into the Concept and Connotation of Hospital Pharmacy Information System

OBJECTIVE:To probe into the concept and connotation of hospital pharmacy information system(HPIS). METHODS:The new demand of informationization was proposed by looking into modern pharmaceutical care mode and hospital pharmacy domain changes were analyed.RESULTS:The relevant concepts:pharmaceutical information,pharmaceutical intelligence,drug information and hospital pharmaceutical information specified.Put forward a definition of the HPIS.Systemic discussions on the connotations and development goals of the research were made.CONCLUSION:The new concept of HPIS adapts was put forward the future demand of hospital pharmacy.
INELASTIC SEISMIC PERFORMANCE OF CONCRETE PRECAST 3 D PANEL SYSTEM WITH DISCONTINUOUS SHEAR WALLS SUPPORTED ON RC FRAMES

In the present investigation, numerical dynamic analysis of a four-story building by scale factor of 1:2.35 is performed by ANSYS soft ware. The purpose of this article is to study the static and dynamical performance of the compound system which is consisted of pre-cast 3D panel system in upper floors and concrete frame in the ground floor. Through the analysis, dynamic properties of the structure, including natural frequencies and dynamic responses such as story displacement, story drift, story shear force and energy absorbed by each story under different seismic motion, in linear and nonlinear region are investigated. In addition, the distribution of tensile and compressive stress in concrete and tensile stress in reinforcement of various partition and also quality of generated cracks are estimated.The results of this study would be used in predicting the behavior of the structure under real earthquakes.
Translator-Training Institutions

Translators and interpreters have long been trained informally, basically through trialand-error, unstructured apprenticeship arrangements, or any of the various translating activities that accompany the study of a foreign language. Translator-training institutions, however, can be understood as organisational structures designed specifically for this task, with a certain permanence and internal power relationships. Most such institutions are now university departments, faculties or relatively independent university institutes, although others are run by government bodies, international organisations, professional associations, large employers or private schools. Most of these institutions depend on wider structures within the one society (state or private education systems) and thus vary in accordance with local contexts. Some structures, however, cross several societies and thus allow a certain typology to be based on various `generations' of institutions. The following survey will be from an international perspective, focusing on the generations of translator-training institutions and the dramatic rise in their number since the mid-twentieth century. Brief consideration will also be given to the institutional location of certain pedagogical translation theories.
Data Integration among Sensor Nodes Using Wireless Toolkit

: Network level privacy can be categorized into four sub categories: Identity, route, location and data pivacy.It is so challenging to achieve complete network level privacy due to the constraints like energy, memory and computation power imposed by the sensor nodes and constraints like mobility and topology imposed by the sensor networks and QOS issues like packet reachability and timeliness. In this paper we proposed a new identity routing and location algorithm that provides additional reliability and data privacy.This proposed solution protects the data from various privacy attacks such as eavesdropping and hop-by-hop trace back attacks.
On perturbative PS ; ( N ) invariants of rational homology 3-spheres q

We construct power series invariants of rational homology 3-spheres from quantum PS;(n)-invariants. The power series can be regarded as perturbative invariants corresponding to the contribution of the trivial connection in the hypothetical Witten's integral. This generalizes a result of Ohtsuki (the n"2 case) which led him to the de"nition of "nite type invariants of 3-manifolds. The proof utilizes some symmetry properties of quantum invariants (of links) derived from the theory of a$ne Lie algebras and the theory of the Kontsevich integral. ( 2000 Elsevier Science Ltd. All rights reserved.
ROCZNIKI PSYCHOLOGICZNE/ ANNALS OF PSYCHOLOGY

This article aims to analyze the relations between the difficulty of making career decisions and hope for success. Hope for success may be a factor that modifies the quality of decisions, especially in difficult situations. As a source of moti vation to act and overcome the obstacles encountered, hope for success influences human perception and behavior when making decisions and taking actions. The study was carried out on a grou p f 149 students in the final grade of high schools located in the Mazowieckie voivodeship, Pol and. The participants were 17 to 21 years old (M = 18.64, SD = 0.69). To measure the variables, we used the Care er D cision-Making Difficulties Questionnaire and the Hope for Success Questio nna re. The results indicate statistically significant differences in the severity of the difficult ies in making career decisions in people with diffe rent levels of hope of success.
RELATIVE WEIGHT OPTIMIZED LINKING SCHEME FOR ROUTE OPTIMIZATION IN ADHOC NETWORK

In ad-hoc networks, routing is primarily concerned with connectivity. Present routing algorithms, proactive or on demand, source routing or table driven, typically characterize the network with a single metric such as hop count, and use shortest path algorithms to compute paths. These shortest-path based routing algorithms are not adequate for applications with quality-of-service requirements, such as bandwidth guarantees. First, we separate the underlying scheduling problem and quantify the feasibility of flows. This becomes the feasibility conditions of the proposed reliable routing mechanism. We present the mathematical abstraction of the existing routing scheme problem which allows the maximum reliability to the traffic in a flow to carry with maximum reliability for paths which are closest to the optimum level.
The pharmacognostic and antimicrobial study of methanolic extract of Dialium guineense leaf against organisms isolated from wound infection

There is a growing interest worldwide in the use of natural product of various plants as a natural antimicrobial agent especially now where the problems of emerging and reemerging resistant strains of microorganism are becoming the order of the day. The phytochemical screening and antimicrobial activities of methanolic extract of Dialium guineense leaf was tested to provide a basis for their adoption as an alternative control measure in combating this incidence. The Pharmacognostic/phytochemical screening were carried out using standard methods. Antimicrobial activity was tested against clinical isolates of Proteus mirabilis, Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, Aspergillus fumigatus and Candida albicans using agar well diffusion method. Results of the Pharmacognostic studies revealed the presence of anticlinal walls which are thick and straight, numerous Uniseriate covering trichomes in both upper and lower epidermis. The phytochemical analysis showed presence of carbohydrate, tannins and alkaloids. The antimicrobial inhibition zone values of the extract ranged between 4 and 18 mm, with E. coli being most sensitive, followed by A. fumigatus and P. mirabilis with least effect. The finding suggests that D. guineense might be a good candidate in the search for a natural antimicrobial agent and further supports its popular and wide traditional applications in the treatment of various illnesses. Further study is ongoing to identify the specific secondary metabolites present in D. guineense which could be responsible for its antimicrobial activity. Study also needs to be done to determine the toxicological profile of the active principles in this plant.
NUMERICAL SIMULATION OF FLOW FIELD IN AN ANNULAR TURBINE STATOR WITH FILM COOLING

In the present paper steady three-dimensional numerical calculation is performed in order to investigate the effects of film cooling on turbine stator flow fields. A row of cooling holes is modeled as a slot. Film cooling flow in the stator has been simulated by using source terms. The effects of film cooling on the aerodynamic loss in terms of energy loss coefficient and the outlet flow angle are analyzed. The simulation results are agreed well with the experimental results.
Human-Machine Interface for Daily Load Short Term Forecasting using Recursive Artificial Neural Network

This paper describes a human-machine interface for daily load forecasting using a Recursive Artificial Neural Network (RANN). The RANN architecture and the learning method are discussed. The friendly interface between the user and the computing machine helps to obtain and evaluate the results and to improve the computational process. This application was developed in Delphi environment. Specific data from Timisoara City (situated in Western Romania) is used within the case studies presented. During the final section of the paper the obtained results are analyzed and discussed. On this basis, many useful recommendations are outlined. Key-Words: short term load forecast, recursive artificial neural network, human-machine interface, Borland Delphi.
2007-01-2170 Acoustic Radiation from an Automotive Gear Box

The main goal of this paper is to extend the acoustic boundary element analysis to the high frequency regime. At higher frequencies, the surface boundary element mesh of the radiator must be sufficiently fine to capture the rapid spatial variations of the sound field. Traditional BEM implementations have had difficulty in dealing with large number of unknown variables and thus are limited to low frequency analysis of small bodies. In a typical boundary element analysis, computation of the coefficient matrix constitutes a major portion of the total analysis time and total memory usage. The key to obtaining rapid solutions of large problems using BEM is to completely bypass the coefficient matrix computation. We have developed a new Direct Boundary Element Variational formulation that is used in conjunction with iterative solvers from the Krylov family, and a new Multilevel Fast Multipole Method (MLFMM) that facilitates extremely fast matrix-vector product computation. This approach overcomes the limitations of traditional BEM and allows us to perform fast NVH analysis of large problems in the midhigh frequency regime. We demonstrate the accuracy of our predictions by comparing with several closed form analytical solutions. Noise radiated by a gear box housing was analyzed as an example automotive NVH application.
! A Feedback-Based Modified Perceptron   Trained with the Pseudo-Linear Regression Algorithm

Art i f ic ial Neural Networks (ANNs) are mathematical models designed to perform certain computations and to mimic the main features of the human brain [1]. One of the ANN basic elements is the artificial neuron, in which we highlight the model known as perceptron [1]. The perceptron can be viewed as a linear combiner – similar to a Finite Impulse Response filter (FIR) [1] – followed by a nonlinearity (hard limiter). This model is able to classify data into two linearly separable patterns. However, for discrete time signals with statistical temporal dependence, e.g. in time ser ies [1 ] , the percept ron exh ib i ts a considerably limited memory, which does not allow a suitable representation of certain known neural physiological behaviours. Therefore, the main objective of this work is to propose a modified version of the classical perceptron, so that its memory can be increased. This can be accomplished, for instance, by substituting the linear combiner for an Infinite Impulse Response (IIR) system. This modification would allow us to retrieve a signal previously distorted by another nonlinear system with memory.
Semi-parametric models and robust aggregation for GEFCom 2014 probabilistic electric load and electricity price forecasting

We sum up the methodology of the team Tololo who ranks 1st on the load forecasting track and the price forecasting track of the Global Energy Forecasting Competition 2014. During the competition, we used and tested many statistical and machine learning methods such as random forests, gradient boosting machines and generalized additive models. In this paper, we only present the methods that have shown the best results. For electric load forecasting, our strategy consists in producing temperature scenarios that we plug into a probabilistic forecasting load model. Both steps are performed by fitting a quantile generalized additive model (quantGAM). Concerning the electricity price forecasting, we investigate three methods that we used during the competition. The first method follows the spirit of the one used for electric load. The second one is based on combining a set of individual predictors. The last one fits a sparse linear regression on a large set of covariates. We chose to present in this paper these three methods because they show good performance and have a nice potential of improvements for future research.
A text zero-watermarking method based on keyword dense interval

Digital watermarking has been recognized as a useful technology for the copyright protection and authentication of digital information. However, rarely did the former methods focus on the key content of digital carrier. The idea based on the protection of key content is more targeted and can be considered in different digital information, including text, image and video. In this paper, we use text as research object and a text zero-watermarking method which uses keyword dense interval (KDI) as the key content is proposed. First, we construct zero-watermarking model by introducing the concept of KDI and giving the method of KDI extraction. Second, we design detection model which includes secondary generation of zero-watermark and the similarity computing method of keyword distribution. Besides, experiments are carried out, and the results show that the proposed method gives better performance than other available methods especially in the attacks of sentence transformation and synonyms substitution.
On the Asymptotic Behaviour of the M / G / 1 Retrial Queue With Priority Customers , Bernoulli Schedule and General Retrial Times

In this work, we are interested in M/G/1 retrial queue with priority customers, Bernoulli schedule, FCFS orbit and general retrial times, which stochastic analysis have been performed in the literature. Our contribution consists in the study of the asymptotic behaviour of the number of customers in the retrial group under heavy traffic and also low retrial rate. We present some numerical illustrations to support the obtained theoretical results.