LLukas22/scidocs huggingface dataset:
Rosa Luxemburg and the Critique of Political Economy, edited by Riccardo Bellofiore, London: Routledge, 2009

Abstract This review-essay discusses the contributions to Ricardo Bellofiore’s book Rosa Luxemburg and the Critique of Political Economy in their respective historical and theoretical contexts. A key goal of the book is to establish Luxemburg’s work as a ‘macro-monetary class approach’, which means linking an economic outlook on effective demand and finance with a political focus on class-struggles in the domestic and international arenas. This approach marks a significant, and positive, departure from widespread interpretations that separate Luxemburg’s political theory from her economic theory. Given the apparent limits of neoliberal globalisation it is also a very timely approach that can help us to understand the current conjuncture of economic and political crises. Bellofiore’s book offers a useful framework for such analysis but focuses much more on economic theory than on politics and the historical developments of global capitalism. To fully exploit the potential of Luxemburg’s political economy, complementary work on these latter two aspects has to be done.
Fuzzy portfolio optimization under downside risk measures

This paper presents two fuzzy portfolio selection models where the objective is to minimize the downside risk constrained by a given expected return. We assume that the rates of returns on securities are approximated as LR-fuzzy numbers of the same shape, and that the expected return and risk are evaluated by interval-valued means. We establish the relationship between those mean-interval definitions for a given fuzzy portfolio by using suitable ordering relations. Finally, we formulate the portfolio selection problem as a linear program when the returns on the assets are of trapezoidal form. © 2006 Elsevier B.V. All rights reserved.
A Cascaded Boost–Buck Converter for High-Efficiency Wireless Power Transfer Systems

Wireless power transfer (WPT) has attracted an ever increasing interest from both industry and academics over the past few years. Its applications vary from small power devices such as mobile phones and tablets to high power electric vehicles and from small transfer distance of centimeters to large distance of tens of centimeters. In order to achieve a high-efficiency WPT system, each circuit should function at a high efficiency along with the proper impedance matching techniques to minimize the power reflection due to the impedance mismatch. This paper proposes an analysis on the system efficiency to determine the optimal impedance requirement for coils, rectifier, and dc-dc converter. A novel cascaded boost-buck dc-dc converter is designed to provide the optimal impedance matching in WPT system for various loads including resistive load, ultracapacitors, and batteries. The proposed 13.56-MHz WPT system can achieve a total system efficiency over 70% in experiment.
Use of Mild Heat Pre-treatment for Quality Retention of Fresh-cut Cantaloupe Melon

The effect on sensory attributes and shelf life of fresh-cut cantaloupe melon subjected to pre-cut heat treatment at 50 °C for 60 min, followed by storage at 4 °C prior to cutting, and then storage at 10 °C for 8 d was determined. Heat treatment reduced the rate of respiration and moisture loss during storage of the cut fruit. The treatment also reduced total microbial count during the 1st storage d and prevented growth of lactic acid bacteria that occurred in untreated fruit after 8 d in storage. Sensory evaluations indicate that heat treatment increased intensities of desirable attributes such as fruity melon and sweet aromatic flavors, and reduced undesirable flavors such as musty, sour, bitter, chemical and fermented. The study suggests that heat treatment would be useful in improving shelf life of fresh-cut fruit.
Digital Forensics as a Service: A game changer

How is it that digital investigators are always busy and still never have enough time to actually dig deep into digital evidence? In this paper we will explore the current implementation of the digital forensic process and analyze factors that impact the efficiency of this process. Next we explain how in the Netherlands a Digital Forensics as a Service implementation reduced case backlogs and freed up digital investigators to help detectives better understand the digital material. a 2014 The Authors. Published by Elsevier Ltd on behalf of DFRWS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Drought Forecasting Using Stochastic Models in a Hyper-Arid Climate

Drought forecasting plays a crucial role in drought mitigation actions. Thus, this research deals with linear stochastic models (autoregressive integrated moving average (ARIMA)) as a suitable tool to forecast drought. Several ARIMA models are developed for drought forecasting using the Standardized Precipitation Evapotranspiration Index (SPEI) in a hyper-arid climate. The results reveal that all developed ARIMA models demonstrate the potential ability to forecast drought over different time scales. In these models, the p, d, q, P, D and Q values are quite similar for the same SPEI time scale. This is in correspondence with autoregressive (AR) and moving average (MA) parameter estimate values, which are also similar. Therefore, the ARIMA model (1, 1, 0) (2, 0, 1) could be considered as a general model for the Al Qassim region. Meanwhile, the ARIMA model (1, 0, 3) (0, 0, 0) at 3-SPEI and the ARIMA model (1, 1, 1) (2, 0, 1) at 24-SPEI could be generalized for the Hail region. The ARIMA models at the 24-SPEI time scale is the best forecasting models with high R (more than 0.9) and lower values of RMSE and MAE, while they are the least forecasting at the 3-SPEI time scale. Accordingly, this study recommends that ARIMA models can be very useful tools for drought forecasting that can help water resource managers and planners to take precautions considering the severity of drought in advance. OPEN ACCESS Atmosphere 2015, 6 411
Managing radiation use in medical imaging: a multifaceted challenge.

This special report aims to inform the medical community about the many challenges involved in managing radiation exposure in a way that maximizes the benefit-risk ratio. The report discusses the state of current knowledge and key questions in regard to sources of medical imaging radiation exposure, radiation risk estimation, dose reduction strategies, and regulatory options.
Tooth-forming potential in embryonic and postnatal tooth bud cells

Humans are genetically programmed to replace their teeth once during childhood. Therefore, when adult teeth are lost or damaged, they cannot be regenerated or regrown. However, with the advancement of stem cell biology and tissue engineering, regenerating the whole tooth has become a realistic and attractive option to replace a lost or damaged tooth, and therefore has strongly attracted attention in the field of dental research. During the past several years, significant progress has been made in this research endeavor, providing greater understanding of the production of an entire biological tooth by tissue engineering using stem cells. There are several ways to reproduce an entire biological tooth. Approaches are categorized according to the cell sources that have the potential to produce teeth. One source is the embryonic tooth bud, and the other is the postnatal tooth bud. The results from embryonic and postnatal tooth buds differ considerably. In particular, the potential to regulate the shape of the tooth crown from embryonic tooth bud is higher than from postnatal tooth bud. This article describes the achievements to date in production of biological teeth, mostly from our laboratory. In particular, we describe the potential to produce teeth from embryonic and postnatal tooth buds.
Thoracic outlet syndrome

Thoracic Outlet Syndrome (TOS) is the constellation of symptoms caused by compression of neurovascular structures at the superior aperture of the thorax, properly the thoracic inlet! The diagnosis and treatment is contentious and some even question its existence. Symptoms are often confused with distal compression neuropathies or cervical
Provided for Non-commercial Research and Educational Use. Not for Reproduction, Distribution or Commercial Use

and for the benefit of the author's institution, for non-commercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who you know, and providing a copy to your institution's administrator. All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution's website or repository, are prohibited. For exceptions, permission may be sought for such use through Elsevier's permissions site at:
Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads

As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may encourage rumours, many of which remain unverified long after their point of release. Little is known, however, about the dynamics of the life cycle of a social media rumour. In this paper we present a methodology that has enabled us to collect, identify and annotate a dataset of 330 rumour threads (4,842 tweets) associated with 9 newsworthy events. We analyse this dataset to understand how users spread, support, or deny rumours that are later proven true or false, by distinguishing two levels of status in a rumour life cycle i.e., before and after its veracity status is resolved. The identification of rumours associated with each event, as well as the tweet that resolved each rumour as true or false, was performed by journalist members of the research team who tracked the events in real time. Our study shows that rumours that are ultimately proven true tend to be resolved faster than those that turn out to be false. Whilst one can readily see users denying rumours once they have been debunked, users appear to be less capable of distinguishing true from false rumours when their veracity remains in question. In fact, we show that the prevalent tendency for users is to support every unverified rumour. We also analyse the role of different types of users, finding that highly reputable users such as news organisations endeavour to post well-grounded statements, which appear to be certain and accompanied by evidence. Nevertheless, these often prove to be unverified pieces of information that give rise to false rumours. Our study reinforces the need for developing robust machine learning techniques that can provide assistance in real time for assessing the veracity of rumours. The findings of our study provide useful insights for achieving this aim.
Ergodic Ramsey theory: a dynamical approach to static theorems

We discuss classical results of Ramsey theory together with their dynamical counterparts,
survey recent developments and formulate some natural open questions and conjectures.
Current Role of Blood and Urine Biomarkers in the Clinical Care of Adults with Congenital Heart Disease

Purpose of ReviewThere is an increasing number of adult patients with congenital heart disease (CHD). While several biomarkers have been validated and integrated into general cardiology clinical practice, these tests are often applied to adults with CHD in the absence of disease-specific validation. Although these patients are often grouped into a single population, there is heterogeneous pathophysiology, variable disease chronicity, extensive multisystem involvement, and a low event rate relative to acquired heart disease. These stand as challenges to systematic investigation and clinical application of biomarkers for adults with CHD. This paper reviews recent studies investigating the use of biomarkers in this population, with emphasis on biomarkers applied in clinical adult CHD care.Recent FindingsA handful of biomarkers have been integrated into adult CHD practice, such as iron studies in cyanotic heart disease and stool alpha-1 antitrypsin for diagnosis of protein losing enteropathy in the Fontan circulation. Use of kidney and liver tests has been studied in prognostication of adult CHD patients. A few other biomarkers like natriuretic peptides and troponins seem likely to provide useful information in other ACHD situations based on limited disease-specific data and extrapolation from acquired heart disease.SummaryMore research is needed to support the robust validity of most existing clinical biomarkers in adult congenital cardiology practice. Until data from larger, prospectively enrolled cohorts are available, clinical use of biomarkers in these patients will require careful interpretation with attention to underlying pathophysiology, as well as detailed understanding of potential pitfalls of specific assays and clinical contexts.
Relatives' participation in everyday care in special care units for persons with dementia.

BACKGROUND
Research concerning relatives' participation in the everyday care related to persons living in special care units for persons with dementia is limited.


RESEARCH QUESTIONS
To examine relatives' participation in their near one's everyday care, the level of burden experienced and important factors for participation, in this special context.


DESIGN
The study had a cross-sectional design, and data collection was carried out by means of a study-specific questionnaire.


PARTICIPANTS AND CONTEXT
A total of 233 relatives from 23 different special care units participated.


ETHICAL CONSIDERATION
The study was approved by the Norwegian Social Science Data Services.


RESULTS
A great majority of relatives reported that they visited weekly and were the resident's spokesperson, but seldom really participated in decisions concerning their everyday care. Participation was seldom reported as a burden.


DISCUSSION
This study indicated that relatives were able to make a difference to their near one's everyday life and ensure quality of care based on their biographical expertise, intimate knowledge about and emotional bond with the resident. Since knowing the resident is a prerequisite for providing individualised care that is in line with the resident's preferences, information concerning these issues is of utmost importance.


CONCLUSION
This study prompts reflection about what it is to be a spokesperson and whether everyday care is neglected in this role. Even though relatives were satisfied with the care provided, half of them perceived their participation as crucial for the resident's well-being. This indicated that relatives were able to offer important extras due to their biographical expertise, intimate knowledge about and emotional bond with the resident. Good routines securing that written information about the residents' life history and preferences is available and used should be implemented in practice.
Implementation of Naive Bayesian Classifier and Ada-Boost Algorithm Using Maize Expert System

Machine learning [1] is concerned with the design and development of algorithms that allow computers to evolve intelligent behaviors based on empirical data. Weak learner is a learning algorithm with accuracy less than 50%. Adaptive Boosting (Ada-Boost) is a machine learning algorithm may be used to increase accuracy for any weak learning algorithm. This can be achieved by running it on a given weak learner several times, slightly alters data and combines the hypotheses. In this paper, Ada-Boost algorithm is used to increase the accuracy of the weak learner Naïve-Bayesian classifier. The Ada-Boost algorithm iteratively works on the Naïve-Bayesian classifier with normalized weights and it classifies the given input into different classes with some attributes. Maize Expert System is developed to identify the diseases of Maize crop using Ada-Boost algorithm logic as inference mechanism. A separate user interface for the Maize expert system consisting of three different interfaces namely, End-user/farmer, Expert and Admin are presented here. End-user/farmer module may be used for identifying the diseases for the symptoms entered by the farmer. Expert module may be used for adding rules and questions to data set by a domain expert. Admin module may be used for maintenance of the system.
Charismatic Leadership; A State of the Art:

In the last decade there has been a substantial increase in the attention given to charismatic leadership both in science and practice. This trend is often called 'the New Leadership'. Central to the New Leadership is the notion that leaders need vision. The New leaders, charismatic leaders, are also referred to as transformational, inspirational or visionary leaders. In this paper several views of charismatic leadership in business organizations rather than charismatic leadership in political arenas or religious movements are the focus. Charismatic leadership is a controversial topic. Many questions are encountered when discussing charisma. Examples are: Is charisma an exceptional phenomenon or is there such a thing as 'everyday charisma'? Is charisma only to be found in the eye of the beholder, in other words merely an idea in the heads of followers? How does the process of motivating followers work? What is the role of the leader's vision? Can charisma be learned? Are there situations that help or hind...
Pedicled and skeletonized single and bilateral internal thoracic artery grafts and the incidence of sternal wound complications: Insights from the Arterial Revascularization Trial.

OBJECTIVES
The question of whether skeletonized internal thoracic artery harvesting reduces the incidence of sternal wound complications in comparison with the pedicled technique, in the context of single or bilateral internal thoracic arteries, remains controversial. We studied the impact of the internal thoracic artery harvesting strategy on sternal wound complication in the Arterial Revascularization Trial.


METHODS
Patients enrolled in the Arterial Revascularization Trial (n = 3102) were randomized to coronary artery bypass grafting with single or bilateral internal thoracic arteries. Sternal wound complication rates were examined according to the harvesting technique that was documented in 2056 patients. The internal thoracic artery harvesting technique, based on the surgeon's preference, resulted in 4 groups: pedicled single internal thoracic artery (n = 607), pedicled bilateral internal thoracic artery (n = 459), skeletonized single internal thoracic artery (n = 512), and skeletonized bilateral internal thoracic artery (n = 478). Propensity scores weighting was used to estimate the impact of the harvesting technique on sternal wound complications.


RESULTS
A total of 219 of 2056 patients (10.6%) experienced a sternal wound complication within 1 year from the index operation. Of those, only 25 patients (1.2%) required sternal wound reconstruction. Pedicled bilateral internal thoracic artery (odds ratio [OR], 1.80; 95% confidence interval [CI], 1.23-2.63) but not skeletonized bilateral internal thoracic artery (OR, 1.00; 95% CI, 0.65-1.53) or skeletonized single internal thoracic artery (OR, 0.89; 95% CI, 0.57-1.38) was associated with a significantly increased risk of any sternal wound complications compared with pedicled single internal thoracic artery.


CONCLUSIONS
The present Arterial Revascularization Trial substudy suggests that, with a skeletonization technique, the risk of sternal wound complication with bilateral internal thoracic artery grafting is similar to that after standard pedicled single internal thoracic artery harvesting, whereas skeletonized single internal thoracic artery harvesting did not add any further benefit when compared with pedicled single internal thoracic artery harvesting.
Monitoring of Physico-Chemical and Microbiological Analysis of Under Ground Water Samples of District Kallar Syedan, Rawalpindi-Pakistan

Physico-chemical and microbiological study of groundwater and municipal water in Kallar Syedan is presented here by taking water samples from five different stations. The study was carried out by collecting five underground water samples (two open well, two bore) and one municipal water sample during April 2011-July 2011. The results were compared with standards prescribed by WHO and ISI 10500-91. The parameters including pH, electrical conductivity (EC), total dissolved solids (TDS), turbidity, dissolved oxygen (DO), total alkalinity (TA), total hardness (TH), calcium (Ca 2+ ) magnesium (Mg 2+ ), sodium (Na + ), potassium (K + ), chloride (Cl – ), nitrate (NO3 – ) sulphate (SO4 2– ), phosphate (PO4 3– ) and bacterial count (MPN/100 ml coliforms) were analyzed. It was found that the underground water was contaminated at few sampling sites namely Tayala and Luni. The sampling site Bhakral showed physico-chemical and microbiological parameters within the water quality standards and the quality of water are good and it is fit for drinking purpose.
Research Issues in Data Warehousing

Data warehousing is a booming industry with many inter esting research problems The database research community has concen trated on only a few aspects In this paper We summarize the state of the art suggest architectural extensions and identify research prob lems in the areas of warehouse modeling and design data cleansing and loading data refreshing and purging metadata management extensions to relational operators alternative implementations of traditional rela tional operators special index structures and query optimization with
A Systematic Study of Semantic Vector Space Model Parameters

We present a systematic study of parameters used in the construction of semantic vector space models. Evaluation is carried out on a variety of similarity tasks, including a compositionality dataset, using several source corpora. In addition to recommendations for optimal parameters, we present some novel findings, including a similarity metric that outperforms the alternatives on all tasks considered.
ON ECONOMIC EVALUATION OF PRIVATE PUBLIC SECTOR TRANSPORT PROJECTS. 13TH AUSTRALASIAN TRANSPORT RESEARCH FORUM, CHRISTCHURCH, NEW ZEALAND, 18-21 JULY 1988; FORUM PAPERS. VOLUME 1 AND 2

Although private and public involvement in transport projects has a long history, the economic and political climate has placed new emphasis on private public sector partnerships as public funding diminishes. After reviewing briefly the history of private sector involvement in roads in New South Wales and the system of highway financing through tolls, two major private sector initiatives are described. They are the Sydney Newcastle toll road proposal of the early 1960s and the Sydney harbour tunnel (1986 onwards). Both projects are discussed not only in terms of their economic evaluation but in their conceptual validity and functional utility. The paper concludes by making several points on the economic evaluation of private public sector transport projects. (Author/TRRL)