LLukas22/scidocs huggingface dataset:
Mining Opinion Features in Customer Reviews

Now days, E-commerce systems have become extremely important. Large numbers of cus tomers are choosing online shopping because of its convenience, reliability, and cost. Client generated information and especially item reviews are significant sources of data for consumers to make informed buy choices and for makers to keep track of customer’s opinions. It is difficult for customers to make purchasing decisions based on only pictures and short product descriptions. On the other hand, mining product reviews has become a hot research topic and prior researches are mostly based on pre-specified product features to analyse the opinions. Natural Language Processing (NLP) techniques such as NLTK for Python can be applied to raw customer reviews and keywords can be extracted. This paper presents a survey on the techniques used for designing software to mine op inion features in reviews. Elven IEEE papers are selected and a comparison is made between them. These papers are representative of the significant improvements in opinion mining in the past decade. Keywords— Python, POS, CRF, NLTK, LBSN
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks

intermediate interface to the NN which works on a level between the whole image size and the filter size. In more detail, the procedure is described in the following two subsections and illustrated in Fig. 2.
Spatiotemporal simulation of urban growth patterns using agent-based modeling : The case of Tehran

0264-2751/$ see front matter Crown Copyright 2 http://dx.doi.org/10.1016/j.cities.2013.01.005 ⇑ Corresponding author. Address: Berlinerstrasse Heidelberg, Germany. Tel.: +49 6221 544520. E-mail addresses: jamaljokar@gmail.com (J. Jokar geog.uni-heidelberg.de (M. Helbich), evaz@ryerson.ca Rapid urban growth is becoming a serious problem in most developing countries. Tehran, the capital of Iran, stands out as a vibrant metropolitan area, facing uncontrolled urban expansion. Public authorities and decision makers require planning criteria regarding possible spatial developments. To monitor past developmental trends and to simulate emerging spatiotemporal patterns of urban growth, this research applies a geosimulation approach that couples agent-based modeling with multicriteria analysis (MCA) for the period between 1986 and 2006. To model the major determinants controlling urban development, three agent groups are defined, namely developer agents, government agents, and resident agents. The behaviors of each agent group are identified by qualitative surveys and are considered separately using multi-criteria analysis. The interactions of the agents are then combined through overlay functions within a Geographic Information System (GIS). This analysis results in the creation of a propensity surface of growth that is able to identify the most probable sites for urban development. Subsequently, a Markov Chain Model (MCM) and a concise statistical extrapolation are used to determine the amount of probable future expansion in Tehran. For validation purposes, the model is estimated using 2011 data and then validated based on actual urban expansion. Given the accurate predictions of the Markov Chain Model, further predictions were carried out for 2016 and 2026. This simulation provides strong evidence that during the next decade planning authorities will have to cope with continuous as well as heterogeneously distributed urban growth. Both the monitoring of growth and simulation revealed significant developments in the northwestern part of Tehran, continuing toward the south along the interchange networks. Crown Copyright 2013 Published by Elsevier Ltd. All rights reserved.
The software value map - an exhaustive collection of value aspects for the development of software intensive products

In software intensive products such as cars or telecom systems, software has traditionally been associated with cost, and there has been no real perception of its value in relation to the entire product offering. However, because software is becoming a larger part of the main competitive advantage, driving innovation and product differentiation, hardware is becoming more standardized, thus the valuation of software is becoming critical. In existing literature, several value constructs and corresponding valuation/measurement solutions needed for making decisions about software product development are presented. However, the contributions are often isolated with respect to a certain perspective such as focusing on product’s internal or external quality aspects only. Consequently, a complete view of value constructs relevant from different perspectives required for making decisions about software product development is missing. This paper presents a consolidated view of the software value concept utilizing the major perspectives and introduces a software value map. The created value map was evaluated through an industry case study through the development of impact evaluation patterns, which were subsequently used by professionals in industry, and experiences gathered. During industry evaluation, practitioners found substantial benefits of having a consolidated, vastly improved, and extended value aspect’s view of software. Copyright © 2012 John Wiley & Sons, Ltd.
A new approach to design ambient sensor network for real time healthcare monitoring system

An advanced ubiquitous healthcare monitoring system is proposed with the aid of wireless sensor network based on the IEEE 802.15.4 standard relay sensor nodes. In this work, wearable healthcare devices are used to measure the human body vital signs, while relay sensor nodes are installed at the room's ceiling to transfer the patient's vital signs to the desktop or mobile. Our proposed architecture had utilized the advantages of wireless sensor network where stationary relay sensor nodes installed at the ceiling manage to transfer an amount of vital signs in real time to the server PC through the connected gateway by concerning the signals traffic problem in mind. Therefore, the proposed system had deal with the mobility and transmission reliability issues faced by the healthcare system. Old-fashionable healthcare system that consumes a lot of power during transmission had been replaced with low power consumption relay sensor nodes with wider communication zone available.
A direct execution architecture for Prolog?

This paper describes work in progress on the development of a direct execution Prolog processor.
An Exponential Lower Bound for Cut Sparsifiers in Planar Graphs

Given an edge-weighted graph G with a set $$Q$$ Q of k terminals, a mimicking network is a graph with the same set of terminals that exactly preserves the size of minimum cut between any partition of the terminals. A natural question in the area of graph compression is to provide as small mimicking networks as possible for input graph G being either an arbitrary graph or coming from a specific graph class. We show an exponential lower bound for cut mimicking networks in planar graphs: there are edge-weighted planar graphs with k terminals that require $$2^{k-2}$$ 2k-2 edges in any mimicking network. This nearly matches an upper bound of $$\mathcal {O}(k 2^{2k})$$ O(k22k) of Krauthgamer and Rika (in: Khanna (ed) Proceedings of the twenty-fourth annual ACM-SIAM symposium on discrete algorithms, SODA 2013, New Orleans, 2013) and is in sharp contrast with the upper bounds of $$\mathcal {O}(k^2)$$ O(k2) and $$\mathcal {O}(k^4)$$ O(k4) under the assumption that all terminals lie on a single face (Goranci et al., in: Pruhs and Sohler (eds) 25th Annual European symposium on algorithms (ESA 2017), 2017, arXiv:1702.01136; Krauthgamer and Rika in Refined vertex sparsifiers of planar graphs, 2017, arXiv:1702.05951). As a side result we show a tight example for double-exponential upper bounds given by Hagerup et al. (J Comput Syst Sci 57(3):366–375, 1998), Khan and Raghavendra (Inf Process Lett 114(7):365–371, 2014), and Chambers and Eppstein (J Gr Algorithms Appl 17(3):201–220, 2013).
What can be inferred from a tactile arrayed sensor in autonomous in-hand manipulation?

In this paper, we present a concept of using tactile sensors as sufficient tools in localizing, recognizing an object in robotic in-hand manipulation tasks. Our approach operates on a moderately intensive array data that are obtained from a tactile sensor when a robotic gripper grasps an object that is small relatively to fingers. In stead of using tactile data as an array of discrete numbers, we treat it as a grayscale image. By working with successive images from tactile sensor exploiting image processing tools, we are able to extract rich information about the contact condition between an object and the gripper. Experimental results show that from the processed data, we can realize the grasped object's position/orientation, contact shape, especially the stick-slip condition on the contact surface that is derived for the first time for this sensor. Based on localized displacement phenomenon of a sliding soft object, we proposed an approach to detect the slippage quantitatively, and conducted a wide range of experiment in term of characteristics of object's movement. We also conducted a model for an object-grasping gripper with tactile feedback in various postures of the object, and a corresponding experiment setup to validate computed results. Presented result is expected to be used widely in the community due to its simplicity and reliability.
Comprehensive appraisal of magnetic resonance imaging findings in sustained rheumatoid arthritis remission: a substudy.

OBJECTIVE
To evaluate the effect of sustained American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) Boolean remission on residual joint inflammation assessed by magnetic resonance imaging (MRI) and to secondarily evaluate other clinical definitions of remission, within an early seropositive rheumatoid arthritis (RA) cohort.


METHODS
A subcohort of 118 RA patients was enrolled from patients who completed the 2-year, double-blind randomized Treatment of Early Aggressive Rheumatoid Arthritis (TEAR) trial. Patients received a single contrast-enhanced 1.5T MRI of their most involved wrist. Two readers scored MRIs for synovitis, osteitis, tenosynovitis, and erosions. Clinical assessments were performed every 3 months during the trial and at time of MRI.


RESULTS
The subcohort was 92% seropositive with mean age 51 years, duration 4.1 months, and Disease Activity Score in 28 joints using the erythrocyte sedimentation rate 5.8 at TEAR entry. Total MRI inflammatory scores (tenosynovitis + synovitis + osteitis) were lower among patients in clinical remission. Lower MRI scores were correlated with longer duration of Clinical Disease Activity Index (CDAI) remission (ρ = 0.22, P = 0.03). At the time of MRI, 89 patients had no wrist pain/tenderness/swelling; however, all 118 patients had MRI evidence of residual joint inflammation after 2 years. No statistically significant differences in damage or MRI inflammatory scores were observed across treatment groups.


CONCLUSION
This is the first detailed appraisal describing the relationship between clinical remission cut points and MRI inflammatory scores within an RA randomized controlled trial. The most stringent remission criteria (2011 ACR/EULAR and CDAI) best differentiate the total MRI inflammatory scores. These results document that 2 years of triple therapy or tumor necrosis factor plus methotrexate treatment in early RA does not eliminate MRI evidence of joint inflammation.
pH dependent spectral properties of sodium fluorescein ophthalmic solutions revisited.

PURPOSE
To re-assess and further quantify the pH-related changes in the absorbance and fluorescence emission spectra of sodium fluorescein in buffered aqueous solutions.


METHODS
Analytical grade sodium fluorescein (NaF) or commercial NaF ophthalmic products (Minims 2% sodium fluorescein or Fluorets sodium fluorescein ophthalmic strips) were prepared over a range of dilutions in 1% NaCl with the pH set with phosphate, borate or acetate buffer mixtures between pH 4.0 and 10.0 at room temperature. Absorbance and fluorescence spectra were recorded in 10 mm pathlength cuvettes.


RESULTS
At pH 7.5-8.5, the main NaF absorbance in dilute solution (0.005% w/v, or c. 13 microM) is at 490 nm, but this peak shifts progressively to 460 nm as the pH is lowered below 7.5. The 490 nm absorption peak shows a 50% of maximum value at pH 6.75. For extremely diluted solutions of NaF (0.000002%, c. 50 nM), the fluorescence emission at 513 nm follows the same profile. At higher concentrations (>0.000005%), NaF solutions start to show marked fluorescence quenching at neutral pH with the emission wavelength progressively shifting to 530 nm and even to 560 nm at extremely high concentrations (0.125%) where the fluorescence is all but quenched.


CONCLUSIONS
The present studies confirm and extend some earlier reports that pH (over the range of 4.0-8.5), as well as concentration, predictably determines the fluorescence emission of dilute aqueous solutions of NaF.
Augmenting Human Intellect and Amplifying Perception and Cognition

This first installment of the new Human Augmentation department looks at various technologies designed to augment the human intellect and amplify human perception and cognition. Linking back to early work in interactive computing, Albrecht Schmidt considers how novel technologies can create a new relationship between digital technologies and humans.
Service-oriented software engineering (SOSE) framework

The gap between business decision making and software engineering causes inefficiency and quality problems in software development. Software engineers do not understand organization's value creation objectives and their influence on software production and structure. For this reason software does not fulfill the requirements of business and software quality is inadequate too often. The objective of the authors in the service-oriented software engineering project (SOSE) is to develop methods and tools to improve quality and profitability of software development. In this paper the authors described SOSE framework and clarify with examples its phases, utility, and application in pilot projects. SOSE framework's first activity is to create a well-defined business case. Then, business processes and data concepts are identified, to meet business requirements of the business case, and modelled with informal diagrams like UML and BPML. Finally, the refinement continues with use case maps, system-level services, and business service components. It is proposed that service, process, entity, and utility components are used as design elements of the business service component. In implementation platform independent and platform specific models were utilized. This study has been carried out in cooperation with ICT companies and their customers in electricity domain in Finland.
Evaluation of intrabony defects treated with platelet-rich fibrin or autogenous bone graft: A comparative analysis

OBJECTIVE
The primary objective of this study was to compare clinically and radiographically the efficacy of autologous platelet rich fibrin (PRF) and autogenous bone graft (ABG) obtained using bone scrapper in the treatment of intrabony periodontal defects.


MATERIALS AND METHODS
Thirty-eight intrabony defects (IBDs) were treated with either open flap debridement (OFD) with PRF or OFD with ABG. Clinical parameters were recorded at baseline and 6 months postoperatively. The defect-fill and defect resolution at baseline and 6 months were calculated radiographically (intraoral periapical radiographs [IOPA] and orthopantomogram [OPG]).


RESULTS
Significant probing pocket depth (PPD) reduction, clinical attachment level (CAL) gain, defect fill and defect resolution at both PRF and ABG treated sites with OFD was observed. However, inter-group comparison was non-significant (P > 0.05). The bivariate correlation results revealed that any of the two radiographic techniques (IOPA and OPG) can be used for analysis of the regenerative therapy in IBDs.


CONCLUSION
The use of either PRF or ABG were effective in the treatment of three wall IBDs with an uneventful healing of the sites.
Experiencing the reading glove

In this paper we describe the Reading Glove, a wearable RFID reader for interacting with a tangible narrative. Based on interviews with study participants, we present a set of observed themes for understanding how the wearable and tangible aspects of the Reading Glove influence the user experience. We connect our observational themes to theoretical notions from interactive narrative and tangible interaction to create a set of design considerations such as enacting a role, ownership and permission, multiplicity of interpretations and boundary objects.
Should paclitaxel be combined with epirubicin or carboplatin as first-line chemotherapy for advanced breast cancer?

DESIGN This randomized, phase III trial enrolled women with histologically proven advanced breast cancer, who were aged ≥18 years, with life expectancy ≥12 weeks, performance status ≤2 on the ECOG Scale, and with adequate bone marrow, hepatic, cardiac, and renal function. Exclusion criteria included symptomatic brain metastases, history of other malignancy (except nonmelanoma skin cancer or in situ cervical cancer that was curatively resected), or recent myocardial infarction. Previous chemotherapy was not permitted and pre treatment with hormonal therapy or radiation was stopped 4 weeks before entry to the study.
The effects of drinking goal on treatment outcome for alcoholism.

OBJECTIVE
It is well known to clinicians and researchers in the field of alcoholism that patients vary with respect to drinking goal. The objective in this study was to elucidate the contribution of drinking goal to treatment outcome in the context of specific behavioral and pharmacological interventions.


METHOD
Participants were 1,226 alcohol-dependent individuals enrolled in a large, multisite trial of combined behavioral intervention, acamprosate, and naltrexone. Drinking goal was coded as follows: (a) controlled drinking, (b) conditional abstinence, and (c) complete abstinence.


RESULTS
Analysis revealed a main effect of drinking goal on percent days abstinent (p < .0001), days to relapse to heavy drinking (p < .0001), and global clinical outcome (p < .001). These results were such that a goal of complete abstinence was associated with the best outcomes, followed by conditional abstinence; controlled drinking was associated with the poorest outcomes. Conversely, a main effect of drinking goal was observed on drinks per drinking day (p < .01), such that controlled drinking was associated with fewer drinks per drinking day whereas complete abstinence was associated with the highest number of drinks per drinking day. Combined behavioral intervention performed better than medical management alone for participants whose drinking goal was not complete abstinence.


CONCLUSION
These results suggest that drinking goal represents a highly predictive clinical variable and should be an integral part of the clinical assessment of patients with alcohol dependence. Assessment of patients' drinking goals may also help match patients to interventions best suited to address their goals and clinical needs.
Validation of the Japanese version of the Pediatric Quality of Life Inventory (PedsQL) Cancer Module

BACKGROUND
The PedsQL 3.0 Cancer Module is a widely used instrument to measure pediatric cancer specific health-related quality of life (HRQOL) for children aged 2 to 18 years. We developed the Japanese version of the PedsQL Cancer Module and investigated its reliability and validity among Japanese children and their parents.


METHODS
Participants were 212 children with cancer and 253 of their parents. Reliability was determined by internal consistency using Cronbach's coefficient alpha and test-retest reliability using intra-class correlation coefficient (ICC). Validity was assessed through factor validity, convergent and discriminant validity, concurrent validity, and clinical validity. Factor validity was examined by exploratory factor analysis. Convergent and discriminant validity were examined by multitrait scaling analysis. Concurrent validity was assessed using Spearman's correlation coefficients between the Cancer Module and Generic Core Scales, and the comparison of the scores of child self-reports with those of other self-rating depression scales for children. Clinical validity was assessed by comparing the on- and off- treatment scores using Kruskal-Wallis and Mann-Whitney U tests.


RESULTS
Cronbach's coefficient alpha was over 0.70 for the total scale and over 0.60 for each subscale by age except for the 'pain and hurt' subscale for children aged 5 to 7 years. For test-retest reliability, the ICC exceeded 0.70 for the total scale for each age. Exploratory factor analysis demonstrated sufficient factorial validity. Multitrait scaling analysis showed high success rates. Strong correlations were found between the reports by children and their parents, and the scores of the Cancer Module and the Generic Core Scales except for 'treatment anxiety' subscales for child reports. The Depression Self-Rating Scale for Children (DSRS-C) scores were significantly correlated with emotional domains and the total score of the cancer module. Children who had been off treatment over 12 months demonstrated significantly higher scores than those on treatment.


CONCLUSIONS
The results demonstrate the reliability and validity of the Japanese version of the PedsQL Cancer Module among Japanese children.
High Hepatitis B Surface Antigen Levels Predict Insignificant Fibrosis in Hepatitis B e Antigen Positive Chronic Hepatitis B

INTRODUCTION
There is no data on the relationship between hepatitis B surface antigen (HBsAg) levels and liver fibrosis in hepatitis B e antigen (HBeAg)-positive patients with chronic hepatitis B (CHB).


METHODS
Serum HBsAg and HBV DNA levels in HBeAg-positive CHB patients with liver biopsies were analyzed. The upper limit of normal (ULN) of alanine aminotransferase (ALT) was 30 and 19 U/L for men and women respectively. Histologic assessment was based on Ishak fibrosis staging for fibrosis and Knodell histologic activity index (HAI) for necroinflammation.


RESULTS
140 patients (65% male, median age 32.7 years) were recruited. 56 (40%) had ALT ≤2×ULN. 72 (51.4%) and 42 (30%) had fibrosis score ≤ 1 and necroinflammation grading ≤ 4 respectively. Patients with fibrosis score ≤ 1, when compared to patients with fibrosis score >1, had significantly higher median HBsAg levels (50,320 and 7,820 IU/mL respectively, p<0.001). Among patients with ALT ≤2×ULN, serum HBsAg levels achieved an area under receiver operating characteristic curve of 0.869 in predicting fibrosis score ≤ 1. HBsAg levels did not accurately predict necroinflammation score. HBsAg ≥ 25,000 IU/mL was independently associated with fibrosis score ≤ 1 (p=0.025, odds ratio 9.042).Using this cut-off HBsAg level in patients with ALT ≤2×ULN, positive and negative predictive values for predicting fibrosis score ≤ 1 were 92.7% and 60.0% respectively. HBV DNA levels had no association with liver histology.


CONCLUSION
Among HBeAg-positive patients with ALT ≤2×ULN, high serum HBsAg levels can accurately predict fibrosis score ≤ 1, and could potentially influence decisions concerning treatment commencement and reduce the need for liver biopsy.