nils-herrmann/clean_scirepeval huggingface dataset:
A Review on Combined Economic Load and Emission Dispatch Problem

Economic load dispatch is one of the main functions of electrical power management systems. The main objective of economic load dispatch is to minimize the fuel cost while satisfying the required equality and inequality constraints. Economic Load Dispatch is a well known problem and has been a major concern for researchers and industrialists all around the world. The problem consists of division of formulation of the model for fuel consumption and then development of the minimizing algorithm and applying the same on the economic load dispatch problem. It is not as simple as is sounds as the solutions not only have to find the global minima but also are constrained. Thus it forms a constrained optimization problem. Index terms load dispatch, CEED, EED.
A new supervised retinal vessel segmentation method based on robust hybrid features
Venue: Biomed. Signal Process. Control.

In this paper, we propose a new supervised retinal blood vessel segmentation method that combines a set of very robust features from different algorithms into a hybrid feature vector for pixel characterization. This 17 D feature vector consists of 13 Gabor filter responses computed at different configurations, contrast enhanced intensity, morphological top hat transformed intensity, vesselness measure, and B COSFIRE filter response. A random forest classifier, known for its speed, simplicity, and information fusion capability, is trained with the hybrid feature vector. The chosen combination of the different types of individually strong features results in increased local information with better discrimination for vessel and non vessel pixels in both healthy and pathological retinal images. The proposed method is evaluated in detail on two publicly available databases DRIVE and STARE. Average classification accuracies of 0.9513 and 0.9605 on the DRIVE and STARE datasets, respectively, are achieved. When the majority of the common performance metrics are considered, our method is superior to the state of the art methods. Performance results show that our method also outperforms the state of the art methods in both cross training and pathological cases.
CHILD SEXUAL ABUSE, BULLYING, CYBERBULLYING, AND MENTAL HEALTH PROBLEMS AMONG HIGH SCHOOLS STUDENTS: A MODERATED MEDIATED MODEL
Venue: Depression and anxiety

Child sexual abuse is associated with adverse outcomes, including heightened vulnerability that may translate into risk of revictimization. The aims of the study were: (1) to explore the direct and indirect links between child sexual abuse and cyberbullying, bullying, and mental health problems and (2) to study maternal support as a potential protective factor.
Face to Face(book) Users' Traits and Motivations and Effects of Facebook Use on Well Being

This chapter discusses personality traits of Facebook users, how personality traits and motivations explain Facebook use, and the potential beneficial and detrimental effects of Internet usage, in general, and online social networking sites usage, in particular, on social and psychological well being. First, the author provides short definitions of concepts such as social media and Social Network Sites (SNS) Next, the author describes Nadkarni and Hofmann's (2012) two factor model of motives associated with Facebook use, including the need to belong and the need for self presentation. Afterwards, a literature review of the most cited studies on the association between Facebook use and personality traits, as conceptualized by the Big Five Model (Costa McCrae, 1992) is provided, followed by research on the relationships between Facebook use and psychological dimensions, such as self esteem, loneliness, narcissism, self worth, and depression and suicide. Finally, conclusions are drawn and final remarks are made.
Role of smart meters in smart city development in India
Venue: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

Day by day in India we are moving towards technologies so everything started becoming advance. The proposal of smart cities in India has already came which include better way of urbanization. Smart meters are the key component in smart cities. Here we are going to discuss about how smart meters will be helpful in making our energy consumption as well as metering system smart. Concepts of smart cities and smart grid and how they are dependent on smart meters will be discussed here. Smart meters has brought big revolution in the fields of energy and power measurement. Worldwide at so many places smart meters has been already deployed but in India it is just starting of deployment of smart meters here some reports regarding that are also discussed.
The Rising Importance of Cross Cultural Communication in Global Business Scenario

The Growing StormEIB PapersThe Cross and the Rising Sun: The British Protestant missionary movement in Japan, Korea, and Taiwan, 1865 1945High Finance in the Euro zoneProceedings from the Second High Level Roundtable Meeting on 20 Year Review of Doi MoiThe Domestic Politics of Controls on Cross border Capital Flows in Developing CountriesMolecular Thermodynamics of Fluid phase EquilibriaProceedings of the Sixteenth Rencontre de Moriond, Les Arcs, Savoie, France, March 15 27, 1981: New flavours and hadron spectroscopyThe OECD ObserverSteel FactsThe Selected Essays of John H. Dunning: Theories and paradigms of international business activityThe New Economy and Global Stock ReturnsThe Chinese EconomyJournal of the Statistical and Social Inquiry Society of IrelandGazeta MercantilAcquiring Cross cultural CompetenceInternational Encyclopedia of Business and ManagementCross sex RelationsOECD Economic OutlookProceedings of the Sixteenth Rencontre de Moriond: New flavours and hadron spectroscopyExplorations in Social ChangeBulletinDivided We Stand Why Inequality Keeps RisingThe Cross and Flame in WisconsinIndustrial RelationsGlobalization of Chinese EnterprisesRiskThe Cross and the Rising SunGlobalizing AmericaThe West European Leisure Travel MarketCross Border Higher Education and Quality AssuranceCross cutting issuesPersonal Financial ManagementWorld Economic Outlook, May 1997Soviet SociologyInternational Human Resource ManagementSociological ResearchCross Cultural Team BuildingCross River State Economic IndicatorsJournal of Women's History
Cross Cultural Communication in Oncology: Challenges and Training Interests.
Venue: Oncology nursing forum

To survey oncology nurses and oncologists about difficulties in taking care of culturally and linguistically diverse patients and about interests in cross cultural training.  Descriptive, cross sectional.  Web based survey. SAMPLE 108 oncology nurses and 44 oncologists.  31 item questionnaire derived from preexisting surveys in the United States and Switzerland.  Self rated difficulties in taking care of culturally and linguistically diverse patients and self rated interests in cross cultural training.  All respondents reported communication difficulties in encounters with culturally and linguistically diverse patients. Respondents considered the absence of written materials in other languages, absence of a shared common language with patients, and sensitive subjects (e.g. end of life, sexuality) to be particularly problematic. Respondents also expressed a high level of interest in all aspects of cross cultural training (task oriented skills, background knowledge, reflexivity, and attitudes) Nurses perceived several difficulties related to care of migrants as more problematic than physicians did and were more interested in all aspects of cross cultural training.  The need for cross cultural training is high among oncology clinicians, particularly among nurses.  The results reported in the current study may help nurses in decision making positions and educators in introducing elements of cross cultural education into oncology curricula for nurses. Cross cultural training should be offered to oncology nurses.
The role of public law based litigation in tobacco companies' strategies in high income, FCTC ratifying countries, 2004 14
Venue: Journal of public health

Tobacco companies use a host of strategies to undermine public health efforts directed to reduce and eliminate smoking. The success, failure and trends in domestic litigation used by tobacco companies to undermine tobacco control are not well understood, with commentators often assuming disputes are trade related or international in nature. We analyse domestic legal disputes involving tobacco companies and public health actors in high income countries across the last decade to ascertain the types of action and the success or failure of cases, develop effective responses.  WorldLii, a publicly available online law repository, was used to identify domestic court cases involving tobacco companies from 2004 to 2014, while outcome data from LexisNexis and Westlaw databases were used to identify appeals and trace case history.  We identified six domestic cases in the UK, Australia and Canada, noting that the tobacco industry won only one of six cases; a win later usurped by legislative reform and a further court case. Nevertheless, we found cases involve significant resource costs for governments, often progressing across multiple jurisdictional levels.  We suggest that, in light of our results, while litigation takes up significant time and incurs legal costs for health ministries, policymakers must robustly fend off suggestions that litigation wastes taxpayers' money, pointing to the good prospects of winning such legal battles.
NUWT: Jawi specific buckwalter corpus for Malay word tokenization

This paper describes the design and creation of a monolingual parallel corpus for the Malay language written in Jawi.This paper proposes a new corpus called the National University of Malaysia Word Tokenization (NUWT) corpora To the best of our knowledge, currently, there is no sufficiently comprehensive, well designed standard corpus that is annotated and made available for the public for the Jawi script corpora.This corpus contains the Jawi specific Buckwalter character code and can be used to evaluate the performance of word tokenization tasks, as well as further language processing.The objective of this work is to conform and standardize the corpora between similar characters in Jawi.It consists of three subcorporas with documents from different genres. The gathering and processing steps, as well as the definition of several evaluation tasks regarding the use of these corpora, are included in this paper.One of the important roles and fundamental tasks of the corpus, which is the tokenization, is also presented in this paper.The development of the Malay language tokenizer is based on the syntactic data compatibility of Malay words written in Jawi.A series of experiments were performed to validate the corpus and to fulfill the requirement of the Jawi script tokenizer with an average error rate of 0.020255.Based on this promising result, the token will be used for the disambiguation and unknown word resolution, such as out of vocabulary (OOV) problem in the tagging process.
A photoexcited switchable perfect metamaterial absorber/reflector with polarization independent and wide angle for terahertz waves

We present a photoexcited switchable perfect metamaterial absorber/reflector for terahertz waves. The switchable absorber/reflector is based on a cross shaped structure (CSS) integrated semiconductor photoconductive silicon (Si) The electric response property of the photoconductive Si can be easily modified through a pump optical beam. The conductivity of Si pads filled in the gap of CSS is tuned efficiently through the incident pump optical beam with different power, resulting in the modulation of absorption magnitude from 0 to 100% at the fixed operation frequency. Thus, the switch ability of the perfect absorber/reflector can be easily realized. Furthermore, the proposed design is polarization insensitive and operated well at wide incidence angles for both TE and TM waves.
A photoexcited broadband switchable metamaterial absorber with polarization insensitive and wide angle absorption for terahertz waves

We present a design and numerical study of a polarization insensitive and wide angle photoexcited broadband switchable metamaterial absorber (MMA) in the terahertz (THz) regime. The switchable MMA comprises a periodic array of dielectric substrate sandwiched with metallic four splits ring resonator (FSRR) structure and continuous metallic film. Filling the gap between the SRRs with a photoconductive semiconductor (silicon, Si) leading to easy modification of its electromagnetic (EM) response through a pump beam. The conductivity of photoconductive Si pads filled in the gap of SRRs can be tuned efficiently by external pump power. This results in the modulation of absorption magnitude with a modulation depth of 62.2% and a broadband switch of absorption peak frequencies varying from 0.82 to 0.51 THz. Further numerical simulations demonstrate that the switchable MMA has the merit of polarization insensitive and wide angle absorption. The realization of broadband redshift tunable MMA offers opportunities to mature semiconductor technologies and potential applications in active THz modulator and switcher.
Managing motivation in the contact center: The employment relationship of outsourcing and temporary agency workers

Grounded in self determination theory (SDT) this research builds a motivation profile typology of contingent workers in the contact center industry, compares outsourcer (OW) and temporary agency workers' (TAW) profiles, and differentiates their human resources practices (HRP) perceptions and affective commitment. The hypotheses were tested in a sample of 2078 Portuguese contingent workers, through several statistical procedures, including latent profile analysis. Six profiles were identified. As expected, OW were mostly in the more intrinsic profiles, whereas TAW were in the more extrinsic ones. However, the contingent employment format did not moderate the relationship between motivation, HRP perceptions, and affective commitment.
Efficacy of a "contact center based communication" in optimizing the care of inflammatory bowel diseases.
Venue: Digestive and liver disease official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver

Telephone helplines are a useful vehicle for the management of chronic diseases even though data on how these can ease management of inflammatory bowel disease (IBD) is still scarce. AIM to analyze our two years' experience with the first telephone helpline dedicated to IBD in Italy.  The main outcomes of using a contact center (CC) at our Unit were analyzed; all data was prospectively collected. Patients' requests were classified into medical or non medical. The percentage of hospitalized patients in the pre CC period was compared to that after CC activation, to assess the potential clinical gain of using CC. The calls were divided into 5 categories to evaluate a potential correlation between patients' number of calls and risk of hospitalization.  The CC received 11,080 calls and handled 11,972 requests. In particular, 63% of patients phoned monthly for a medical consultation, and 37% called for non medical reasons. In 2012, the followed up patients were 1658 with 230 IBD caused hospitalizations (14% in 2014, the followed up patients were 1962 with 182 hospitalizations (9% (p<0.01) The risk of hospitalization exponentially increased with the number of calls: from 3% for 0 5 calls to 41% with >30 calls (p<0.01)  A dedicated CC could provide additional clinical gain, care, and support for IBD patients.
QART: A System for Real Time Holistic Quality Assurance for Contact Center Dialogues
Venue: AAAI

Quality assurance (QA) and customer satisfaction (C Sat) analysis are two commonly used practices to measure goodness of dialogues between agents and customers in contact centers. The practices however have a few shortcomings. QA puts sole emphasis on agents' organizational compliance aspect whereas C Sat attempts to measure customers' satisfaction only based on post dialogue surveys. As a result, outcome of independent QA and C Sat analysis may not always be in correspondence. Secondly, both processes are retrospective in nature and hence, evidences of bad past dialogues (and consequently bad customer experiences) can only be found after hours or days or weeks depending on their periodicity. Finally, human intensive nature of these practices lead to time and cost overhead while being able to analyze only a small fraction of dialogues. In this paper, we introduce an automatic real time quality assurance system for contact centers QART (pronounced cart) QART performs multi faceted analysis on dialogue utterances, as they happen, using sophisticated statistical and rule based natural language processing (NLP) techniques. It covers various aspects inspired by today's QA and C Sat practices as well as introduces novel incremental dialogue summarization capability. QART front end is an interactive dashboard providing views of ongoing dialogues at different granularity enabling agents' supervisors to monitor and take corrective actions as needed. We demonstrate effectiveness of different back end modules as well as the overall system by experimental results on a real life contact center chat dataset.
Modeling of the Contact Center Agent's Work

The paper deals with the optimal sizing of the contact center. The most important part of the contact centers are their agents, therefore the modeling of their working time is also important. In the case of parameter which describes the number of handled calls during the peak hour also the other factors should be taken into account, such as time for hygienic break and time for other activities after serving of the customer. Such modified parameter can be used in Erlang C equation for calculation of optimal number of the contact center agents.
Clustering Product Features of Online Reviews Based on Nonnegative Matrix Tri factorizations
Venue: 2016 IEEE First International Conference on Data Science in Cyberspace (DSC)

Clustering product features is the essential task to mine opinions from unstructured online reviews because different customers usually express the same feature with different words or phrases. Several supervised and unsupervised methods have been applied to accomplish this task. In this paper, we propose an orthogonal nonnegative matrix tri factorizations model to solve the problem. We first construct the feature opinion relation matrix and two constraint matrixes (i.e. cannot link and must link) based on three assumptions, and then integrate those matrixes to construct the orthogonal nonnegative matrix tri factorizations model. The proposed model takes feature opinion pairwises into consideration, caters to the principle of mutual reinforcement, and clusters product features by incorporating the cannot link and must link constraints. We develop an optimization algorithm to solve the matrix factorization, and prove the correctness and convergence. Experimental results on real datasets show that the proposed method is valid.
A Deep Learning Approach to Block based Compressed Sensing of Images
Venue: ArXiv

Compressed sensing (CS) is a signal processing framework for efficiently reconstructing a signal from a small number of measurements, obtained by linear projections of the signal. Block based CS is a lightweight CS approach that is mostly suitable for processing very high dimensional images and videos: it operates on local patches, employs a low complexity reconstruction operator and requires significantly less memory to store the sensing matrix. In this paper we present a deep learning approach for block based CS, in which a fully connected network performs both the block based linear sensing and non linear reconstruction stages. During the training phase, the sensing matrix and the non linear reconstruction operator are \emph{jointly} optimized, and the proposed approach outperforms state of the art both in terms of reconstruction quality and computation time. For example, at a 25% sensing rate the average PSNR advantage is 0.77dB and computation time is over 200 times faster.
A Diagnostic Framework to Assess the Capacity of a Government's Financial Management Information System as a Budget Management Tool

A government's capacity to manage its public finances is central to its ability to deliver services. Well functioning accounting and financial management systems are among the basics that facilitate this, and significant resources and time have been invested for the procurement and implementation of such systems across the world. Implementation is, however, often associated with disappointing results and attribution to higher level public financial management (PFM) objectives difficult to establish. On the basis of five in depth project level evaluations of World Bank investments, this paper proposes a diagnostic framework that can be used to assess the utility of a Financial Management Information System (FMIS) as a budget management tool. The paper develops a total system strength score and weighs various dimensions according to importance. The total system strength score is mapped to corresponding Public Expenditure and Financial Accountability assessment dimensions to assess any correlation between the two, and extensive sensitivity analysis suggests a positive correlation. This is interpreted as an indication that the framework is robust. A preliminary application of the methodology to a sample set of countries finds that in many cases further reforms would be most effective if, at this stage, they pertained to expanding treasury single account and FMIS coverage (and its associated controls) rather than additional technological investments.
PRODROMAL AND NON PRODROMAL DEMENTIA WITH LEWY BODIES AND ALZHEIMER'S DISEASE: A MULTIMODAL MRI APPROACH
Venue: Alzheimer's Dementia

2011) 17/41 (41% had onset after and 24/41 (59% before 65 years. We compared clinical, radiological, and CSF data at the initial valuation.  Late onset bvFTLD (mean age at onset: 7063 years; probable bvFTLD1/459% and presenile onset bvFTLD (mean age at onset 5965 years; probable bvFTLD1/471% had comparable mean disease duration at initial examination (363 years) and mean follow up duration (563 vs 564 years) MRI examination confirmed more frequent hippocampal atrophy (47% vs 21% and less lobar atrophy (18% vs 58% in late onset bvFTLD; this was clinically correlated to more frequent hippocampal memory deficit (53% vs 12.5% TEP FDG or SPECT HMPAO imaging detected focal hypometabolism/hypoperfusion in 53% vs 62.5% of the patients. Unexpectedly, no differences were found in CSF abeta1 42 (10976276 vs 10346236) T tau (2896214 vs 2316100) P tau (40617 vs 37615) and IATI index (260.6 vs 260.6) the ratio T tau/abeta1 42 (0.2660.16 vs 0.2360.10) and P tau/abeta1 42 (0.0460.01 vs 0.0460.01) were not different, either. In each group three subjects had high T tau or P Tau and one subject low abeta1 42. Late onset bvFTLD is not rare in clinical practice; we confirmed more hippocampal and global atrophy compared to presenile onset bvFTLD, clinically correlated to more frequent hippocampal memory loss. TEP FDG and SPECT HMPAO focal alterations were equally represented. Since no differences were found in CSF biomarkers, the differences between lateand presenile onset bvFTLD could not be explained by co existing AD pathology in older patients. They could instead be due to hippocampal sclerosis, known to be associated to FTLD. These data suggest the potential interest of CSF and metabolic markers in the differential diagnosis of late onset bv FTLD vs AD.