LLukas22/scidocs huggingface dataset:
Marketplace or Reseller?

Intermediaries can choose between functioning as a marketplace (on which suppliers sell their products directly to buyers) or as a reseller (purchasing products from suppliers and selling them to buyers). We model this as a decision between whether control rights over a non-contractible decision variable (the choice of some marketing activity) are better held by suppliers (the marketplacemode) or by the intermediary (the reseller-mode). Whether the marketplace or the reseller mode is preferred depends on whether independent suppliers or the intermediary have more important information relevant to the optimal tailoring of marketing activities for each specific product. We show that this tradeoff is shifted towards the reseller-mode when marketing activities create spillovers across products and when network effects lead to unfavorable expectations about supplier participation. If the reseller has a variable cost advantage (respectively, disadvantage) relative to the marketplace then the tradeoff is shifted towards the marketplace for long-tail (respectively, shorttail) products. We thus provide a theory of which products an intermediary should offer in each mode. We also provide some empirical evidence that supports our main results. JEL classification: D4, L1, L5
MuxViz: a tool for multilayer analysis and visualization of networks

Multilayer relationships among entities and information about entities must be accompanied by the means to analyse, visualize and obtain insights from such data. We present open-source software (muxViz) that contains a collection of algorithms for the analysis of multilayer networks, which are an important way to represent a large variety of complex systems throughout science and engineering. We demonstrate the ability of muxViz to analyse and interactively visualize multilayer data using empirical genetic, neuronal and transportation networks. Our software is available at https://github.com/manlius/muxViz.
A pragmatic investigation into the effects of massage therapy on the self efficacy of multiple sclerosis clients.

OBJECTIVE
This research was conducted to examine changes in self self-efficacy, (the perception/belief that one can competently cope with a challenging situation) in multiple sclerosis clients following a series of massage therapy treatments.


METHOD
This small practical trial investigated the effects of a pragmatic treatment protocol using a prospective randomized pretest posttest waitlist control design. Self-Efficacy scores were obtained before the first treatment, mid-treatment series, after the last treatment in the series, four weeks after the final treatment and again eight weeks after the final treatment had been received.


INTERVENTION
The intervention involved a series of weekly one hour therapeutic massage treatments conducted over eight weeks and a subsequent eight week follow up period. All treatments were delivered by supervised student therapists in the final term of their two year massage therapy program.


OUTCOME MEASURES
Self-Efficacy [SE] was the outcome for the study, measured using the Multiple Sclerosis Self-Efficacy survey [MSSE]. Descriptive statistics for SE scores were assessed and inferential analysis involved the testing of between group differences at each of the measurement points noted above.


RESULTS
Statistically significant improvement in self-efficacy was noted between treatment (n = 8) and control (n = 7) groups at mid treatment series (t = 2.32; p < 0.02), post treatment series (t = 1.81; p < 0.05) and at four week follow up (t = 2.24; p < 0.02). At the eight week follow up self-efficacy scores had decreased and there was no statistically significant difference between groups (t = 0.87; p < 0.2).


CONCLUSION
Study results support previous findings indicating that massage therapy increases the self-efficacy of clients with multiple sclerosis, potentially resulting in a better overall adjustment to the disease and an improvement in psycho-emotional state. The increase in self-efficacy after 4 weeks of treatment suggests that positive response occurs more rapidly that was previously demonstrated. The improvement in self-efficacy endured 4 weeks after the end of the treatment series, which suggests that massage therapy may have longer term effects on self-efficacy that were not previously noted. Lack of inter group difference at the eight week follow up reinforces the notion that on-going treatment is required in order to maintain the positive changes observed.
Identification, Diagnosis, and Control of a Flexible Robot Arm

The most important factors in manufacturing are quality, cost, and productivity. The trend is towards lighter robots with increased mechanical flexibilities, and therefore there is a need to include the flexibilities in the robot models to obtain good performance of the robot. The core theme in this thesis is modeling and identification of the physical parameters of an ABB IRB 1400 industrial robot. The approximation made is that the robot arm can be described using a finite number of masses connected by springs and dampers. It has been found that a three-mass model gives a reasonably good description of the robot when moving around axis one. The physical parameters of this model are identified using off-line and on-line algorithms. The algorithms are based on prediction error methods. For the off-line identification the MATLAB System Identification Toolbox is used. For the on-line identification the algorithm used is a modified version of a recursive prediction error method to cope with continuous time models. The models are then used in diagnosis and control. Two ways of doing diagnosis using on-line identification are investigated. Estimating some of the physical parameters of the robot arm recursively makes it possible to monitor important aspects of the system such as friction and load. LQG control of the flexible robot arm is also studied with the aim of good disturbance rejection. Aspects that have been studied are unstable regulators and the use of accelerometers.
Randomized Pharmacokinetic Study Comparing Subcutaneous and Intravenous Palonosetron in Cancer Patients Treated with Platinum Based Chemotherapy

BACKGROUND
Palonosetron is a potent second generation 5- hydroxytryptamine-3 selective antagonist which can be administered by either intravenous (IV) or oral routes, but subcutaneous (SC) administration of palonosetron has never been studied, even though it could have useful clinical applications. In this study, we evaluate the bioavailability of SC palonosetron.


PATIENTS AND METHODS
Patients treated with platinum-based chemotherapy were randomized to receive SC or IV palonosetron, followed by the alternative route in a crossover manner, during the first two cycles of chemotherapy. Blood samples were collected at baseline and 10, 15, 30, 45, 60, 90 minutes and 2, 3, 4, 6, 8, 12 and 24 h after palonosetron administration. Urine was collected during 12 hours following palonosetron. We compared pharmacokinetic parameters including AUC0-24h, t1/2, and Cmax observed with each route of administration by analysis of variance (ANOVA).


RESULTS
From October 2009 to July 2010, 25 evaluable patients were included. AUC0-24h for IV and SC palonosetron were respectively 14.1 and 12.7 ng × h/ml (p=0.160). Bioavalability of SC palonosetron was 118% (95% IC: 69-168). Cmax was lower with SC than with IV route and was reached 15 minutes following SC administration.


CONCLUSIONS
Palonosetron bioavailability was similar when administered by either SC or IV route. This new route of administration might be specially useful for outpatient management of emesis and for administration of oral chemotherapy.


TRIAL REGISTRATION
ClinicalTrials.gov NCT01046240.
Aroma profiles of five basil (Ocimum basilicum L.) cultivars grown under conventional and organic conditions

A headspace solid-phase microextraction (HS-SPME) method coupled to gas chromatography–ion trap mass spectrometry (GC– ITMS) has been developed and applied for profiling of volatile compounds released from five Ocimum basilicum L. cultivars grown under both organic and conventional conditions. Comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC GC–TOFMS) was employed for confirmation of identity of volatiles extracted from the basil headspace by SPME. Linalool, methyl chavicol, eugenol, bergamotene, and methyl cinnamate were the dominant volatile components, the relative content of which was found to enable differentiating between the cultivars examined. The relative content of some sesquiterpenes, hydrocarbons benzenoid compounds, and monoterpene hydrocarbons was lower in dried and frozen leaves as compared to fresh basil leaves. A sensory analysis of the all examined samples proved the differences between evaluated cultivars. 2007 Elsevier Ltd. All rights reserved.
A FAST ELITIST MULTIOBJECTIVE GENETIC ALGORITHM: NSGA-II

NSGA ( [5]) is a popular non-domination based genetic algorithm for multiobjective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGAII ( [3]) was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori. NSGA-II is discussed in detail in this.
Why do we care? Notes from the periphery.

the case of alcohol dependence, using a range of characteristics, but—with one exception—without data on outcomes, thereby limiting their clinical usefulness [12]. Similar research on subtypes of illicit drug abuse is scarce, e.g. on cocaine dependence [13]. The deficit in identifying symptom clusters (as a basis for typology) within the DSM-V criteria for substance abuse disorders continues to be a handicap for clinical work. This could be part of a future research agenda [14,15]. What can be expected from the proposed changes? European drug policy has a strong focus on all problematic forms of substance use besides dependent use, and prevention as well as treatment have developed interventions tailored to the type of disorder, differentiating harmful and dependent use. In research, the proposed change will impede comparability of earlier findings. All together, the changes might affect the present preference for this instrument.
Breast screening using 2D-mammography or integrating digital breast tomosynthesis (3D-mammography) for single-reading or double-reading--evidence to guide future screening strategies.

PURPOSE
We compared detection measures for breast screening strategies comprising single-reading or double-reading using standard 2D-mammography or 2D/3D-mammography, based on the 'screening with tomosynthesis or standard mammography' (STORM) trial.


METHODS
STORM prospectively examined screen-reading in two sequential phases, 2D-mammography alone and integrated 2D/3D-mammography, in asymptomatic women participating in Trento and Verona (Northern Italy) population-based screening services. Outcomes were ascertained from assessment and/or excision histology or follow-up. For each screen-reading strategy we calculated the number of detected and non-detected (including interval) cancers, cancer detection rates (CDRs), false positive recall (FPR) measures and incremental CDR relative to a comparator strategy. We estimated the false:true positive (FP:TP) ratio and sensitivity of each mammography screening strategy. Paired binary data were compared using McNemar's test.


RESULTS
Amongst 7292 screening participants, there were 65 (including six interval) breast cancers; estimated first-year interval cancer rate was 0.82/1000 screens (95% confidence interval (CI): 0.30-1.79/1000). For single-reading, 35 cancers were detected at both 2D and 2D/3D-mammography, 20 cancers were detected only with 2D/3D-mammography compared with none at 2D-mammography alone (p<0.001) and 10 cancers were not detected. For double-reading, 39 cancers were detected at 2D-mammography and 2D/3D-mammography, 20 were detected only with 2D/3D-mammography compared with none detected at 2D-mammography alone (p<0.001) and six cancers were not detected. The incremental CDR attributable to 2D/3D-mammography (versus 2D-mammography) of 2.7/1000 screens (95% CI: 1.6-4.2) was evident for single and for double-reading. Incremental CDR attributable to double-reading (versus single-reading) of 0.55/1000 screens (95% CI: -0.02-1.4) was evident for 2D-mammography and for 2D/3D-mammography. Estimated FP:TP ratios showed that 2D/3D-mammography screening strategies had more favourable FP to TP trade-off and higher sensitivity, applying single-reading or double-reading, relative to 2D-mammography screening.


CONCLUSION
The evidence we report warrants rethinking of breast screening strategies and should be used to inform future evaluations of 2D/3D-mammography that assess whether or not the estimated incremental detection translates into improved screening outcomes such as a reduction in interval cancer rates.
Specific muscle stabilizing as home exercises for persistent pelvic girdle pain after pregnancy: a randomized, controlled clinical trial.

OBJECTIVE
To investigate the efficacy of home-based specific stabilizing exercises focusing on the local stabilizing muscles as the only intervention in the treatment of persistent postpartum pelvic girdle pain.


DESIGN
A prospective, randomized, single-blinded, clinically controlled study.


SUBJECTS
Eighty-eight women with pelvic girdle pain were recruited 3 months after delivery.


METHODS
The treatment consisted of specific stabilizing exercises targeting the local trunk muscles. The reference group had a single telephone contact with a physiotherapist. Primary outcome was disability measured with Oswestry Disability Index. Secondary outcomes were pain, health-related quality of life (EQ-5D), symptom satisfaction, and muscle function.


RESULTS
No significant differences between groups could be found at 3- or 6-month follow-up regarding primary outcome in disability. Within-group comparisons showed some improvement in both groups in terms of disability, pain, symptom satisfaction and muscle function compared with baseline, although the majority still experienced pelvic girdle pain.


CONCLUSION
Treatment with this home-training concept of specific stabilizing exercises targeting the local muscles was no more effective in improving consequences of persistent postpartum pelvic girdle pain than the clinically natural course. Regardless of whether treatment with specific stabilizing exercises was carried out, the majority of women still experienced some back pain almost one year after pregnancy.
Adaptive learning framework

In this paper we propose a new adaptive learning framework that classifies learner's based on individual preferences in terms of understanding and processing information. This framework generates learner's learning style based on Felder Silverman learning style model and suggest learning content based on learning style. The paper outlines how the system allows instructors to monitor learner's learning style and suggest learning content based on the inferred learning style. The framework supports both static and automatic student modelling approach. In this sense, Adaptive learning framework resolves the limitation of traditional learning management system thus improving learner's learning process.
Evaluation of neural network architectures for embedded systems

Since the emergence of Deep Neural Networks (DNNs) as a prominent technique in the field of computer vision, the ImageNet classification challenge has played a major role in advancing the state-of-the-art. While accuracy figures have steadily increased, the resource utilization of winning models has not been properly taken into account. In this work, we present a comprehensive analysis of important metrics in practical applications: accuracy, memory footprint, parameters, operations count, inference time and power consumption. Key findings are: (1) power consumption is independent of batch size and architecture; (2) accuracy and inference time are in a hyperbolic relationship; (3) energy constraint is an upper bound on the maximum achievable accuracy and model complexity; (4) the number of operations is a reliable estimate of the inference time. We believe our analysis provides a compelling set of information that helps design and engineer efficient DNNs.
Are acupoints specific for diseases? A systematic review of the randomized controlled trials with sham acupuncture controls

BACKGROUND
The results of many clinical trials and experimental studies regarding acupoint specificity are contradictory. This review aims to investigate whether a difference in efficacy exists between ordinary acupuncture on specific acupoints and sham acupuncture controls on non-acupoints or on irrelevant acupoints.


METHODS
Databases including Medline, Embase, AMED and Chinese Biomedical Database were searched to identify randomized controlled trials published between 1998 and 2009 that compared traditional body acupuncture on acupoints with sham acupuncture controls on irrelevant acupoints or non-acupoints with the same needling depth. The Cochrane Collaboration's tool for assessing risk of bias was employed to address the quality of the included trials.


RESULTS
Twelve acupuncture clinical trials with sham acupuncture controls were identified and included in the review. The conditions treated varied. Half of the included trials had positive results on the primary outcomes and demonstrated acupoint specificity. However, among those six trials (total sample size: 985) with low risk of bias, five trials (sample size: 940) showed no statistically significant difference between proper and sham acupuncture treatments.


CONCLUSION
This review did not demonstrate the existence of acupoint specificity. Further clinical trials with larger sample sizes, optimal acupuncture treatment protocols and appropriate sham acupuncture controls are required to resolve this important issue.
On the Feasibility of Predicting News Popularity at Cold Start

We perform a study on cold-start news popularity prediction using a collection of 13,319 news articles obtained from Yahoo News. We characterise the online popularity of news articles by two different metrics and try to predict them using machine learning techniques. Contrary to a prior work on the same topic, our findings indicate that predicting the news popularity at cold start is a difficult task and the previously published results may be superficial.
End-to-End Text Recognition with Hybrid HMM Maxout Models

The problem of detecting and recognizing text in natural scenes has proved to be more challenging than its counterpart in documents, with most of the previous work focusing on a single part of the problem. In this work, we propose new solutions to the character and word recognition problems and then show how to combine these solutions in an end-to-end text-recognition system. We do so by leveraging the recently introduced Maxout networks along with hybrid HMM models that have proven useful for voice recognition. Using these elements, we build a tunable and highly accurate recognition system that beats state-of-theart results on all the sub-problems for both the ICDAR 2003 and SVT benchmark datasets.1
A multi-centre, blinded international trial of the effect of A1 and A2 β-casein variants on diabetes incidence in two rodent models of spontaneous Type I diabetes

Aims/hypothesis. The diabetes-inducing potential of cows' milk is still debated and there is no consensus on the diabetogenicity of individual milk proteins. A1-β-casein has been associated with increased diabetes frequency in ecological studies and in NOD mice. Our aim was to ascertain whether A1-β-casein was more diabetogenic than A2 and to test the diabetogenicity of a milk-free diet in animals representing different forms of spontaneous Type I (insulin-dependent) diabetes mellitus. Methods. Defined diets were coded and shipped to laboratories in New Zealand (NOD/NZ), Canada (BB) and the UK (NOD/Ba). Base diets were Pregestimil (PG) and ProSobee (PS). Purified fractions of whole casein (WC), A1 or A2-β-casein were added at 10%. A milk-free, wheat-predominant, NTP-2000 diet was the control. Animals were fed from weaning up to 150 or 250 days, and insulitis, diabetes frequency and expression of pancreatic cytokines were assessed. Results. Diabetes incidence was highest in three locations in animals fed NTP-2000. PG and PS diets were protective except for NOD/Ba mice fed PG+WC where incidence was similar to NTP-2000. A1 and A2 diets were protective in both models, but A1 β-casein was slightly more diabetogenic in PS-fed BB rats. The New Zealand study was confounded by an infection. Conclusion/interpretation. A milk-free, wheat-predominant diet was highly diabetogenic in three widely separate locations in both animal models. A previous result that A1 β-casein was more diabetogenic than A2 β-casein in NOD mice was not confirmed; both β-casein variants were protective in BB rats and NOD mice. Whole Casein promoted diabetes in NOD/Ba but protected BB showing that unique diabetes haplotypes react differently to dietary proteins. A1- was more diabetogenic than A2-β-casein only in PS-fed BB rats. Neither the analysis of insulitis nor of pancreatic cytokine gene expression showed a difference between A1 or A2 β-casein fed animals. Milk caseins are unlikely to be exclusive promoters of Type I diabetes, but could enhance the outcome of diabetes in some cases. Other diet components such as wheat could be more important promoters of Type I diabetes.
Sustainability - a new dimension in information systems evaluation

The paper introduces new dimensions of Information System evaluation. Sustainability issues have increasing importance and their influence is compared with the Internet revolution. Customers, policymakers and business partners increasingly require the monitoring and reporting of the impact of an organisation on sustainability. However, traditional IS evaluation approaches are not able to capture the impact of IT/IS on sustainability, especially in relation to social and environmental dimensions. In order to stimulate discussion and research, the authors propose a framework that was originally developed to focus on supply chain issues. The framework is built upon three dimensions: economic, social and environmental, which are divided further into three sub-dimensions. It was created to evaluate supply chain practices, but it can be used as a staring point to develop a framework for sustainability-oriented IS evaluation. In the paper the sustainability drivers are presented, and the problems related to IT/IS evaluation are discussed using selected examples from IT/IS applications in supply chain management. IT/IS solutions used in supply chains are perceived as having both positive and negative effects on sustainability. Moreover some business models supported by IT/IS that are perceived as positive for the supply chain processes, could be considered negative after taking into consideration their external effects on sustainability. For example Just-In-Time reduces inventory and costs, but it increases road transport and the associated CO2 emission, as well as potentially increasing road congestion and accidents.