LLukas22/scidocs huggingface dataset:
A Simple and Fast Algorithm for Global K-means Clustering

K-means clustering is a popular clustering algorithm based on the partition of data. However, there are some shortcomings of it, such as its requiring a user to give out the number of clusters at first, and its sensitiveness to initial conditions, and its easily getting to the trap of a local solution et cetera. The global K-means algorithm proposed by Likas et al is an incremental approach to clustering that dynamically adds one cluster center at a time through a deterministic global search procedure consisting of N (with N being the size of the data set) runs of the K-means algorithm from suitable initial positions. It avoids the depending on any initial conditions or parameters, and considerably outperforms the K-means algorithms, but it has a heavy computational load. In this paper, we propose a new version of the global K-means algorithm. The outstanding feature of our algorithm is its superiority in execution time. It takes less run time than that of the available global K-means algorithms. This great advantage is due to that we improved the way of creating the next cluster center in the global K-means algorithm. We defined a novel function to select the optimal candidate center for the next cluster enlightened by the idea of K-medoids clustering algorithm suggested by Park and Jun. Experiments on some well-known data sets from UCI and on a synthetic data set show that our new algorithm can significantly reduce the computational time without affecting the performance of the global K-means algorithm. The further experiments demonstrate that our improved algorithm outperforms the global K-means algorithm greatly.
Design of EtherCAT slave module

EtherCAT real-time Ethernet technology that proposed by Beckhoff Company, is now widely used in industrial automation and motion control fields. In this paper, slave module design based on EtherCAT fieldbus is carried out from the view of the theoretical study and product application as well.
The value of B2B relationships

Purpose – The purpose of the paper is to contribute to the knowledge of how relationship value, trust, commitment, satisfaction and loyalty intentions are defined and relate to each other. It explores these relationships in the business-to-business (B2B) context by analysing manufacturing companies regarding to their main supplier. Design/methodology/approach – After the literature review and several in-depth interviews, a method of empirical analysis consisting of quantitative intervention with an ad hoc survey using a structured questionnaire has been developed. Structural equations modeling is used to contrast the hypotheses on the links between the constructs analysed. Findings – Confirmatory factor analysis provided satisfactory results. With regard to the direct effects of the relationship value, the three relationships being considered were verified: relationship value has a positive influence on trust, commitment and satisfaction towards the supplier. Also, and as already contrasted in previous studies, trust has a direct, positive effect on commitment. In addition, and regarding to loyalty antecedents, data did not confirm that greater trust would increase loyalty but commitment did, leading to the conclusion that the effect of trust on loyalty is only indirect through the effect it has on commitment. Loyalty was also positively affected by satisfaction with the supplier. Research limitations/implications – Limitations of this paper open lines for future research. First, it considers that future research could include other variables affecting long-term relationships. Second, longitudinal studies could serve to enrich the results and illustrate the complexity of the direction in the links among the variables and take into account dynamics. Third, a customer’s perspective in the perception of value has been adopted in this paper. Finally, relationship value has been operationalised as reflective and a formative approach could be adopted. Implications for managers are in line with the detected importance of satisfaction and commitment as key factors because of their impact on intention to continue and expand business with the supplier. Moreover, manufacturers should recognize the role of assessing and building relationship value with their partners as it has an impact – direct or indirect – on intentions to stay in the relationship. Originality/value – In comparison, far less research has been done in the area of relationship value. This paper emphasizes the role of perceived relationship value in relationship B2B marketing studies providing a model and contributing to relationship management.
The Social Media Index: Measuring the Impact of Emergency Medicine and Critical Care Websites

INTRODUCTION
The number of educational resources created for emergency medicine and critical care (EMCC) that incorporate social media has increased dramatically. With no way to assess their impact or quality, it is challenging for educators to receive scholarly credit and for learners to identify respected resources. The Social Media index (SMi) was developed to help address this.


METHODS
We used data from social media platforms (Google PageRanks, Alexa Ranks, Facebook Likes, Twitter Followers, and Google+ Followers) for EMCC blogs and podcasts to derive three normalized (ordinal, logarithmic, and raw) formulas. The most statistically robust formula was assessed for 1) temporal stability using repeated measures and website age, and 2) correlation with impact by applying it to EMCC journals and measuring the correlation with known journal impact metrics.


RESULTS
The logarithmic version of the SMi containing four metrics was the most statistically robust. It correlated significantly with website age (Spearman r=0.372; p<0.001) and repeated measures through seven months (r=0.929; p<0.001). When applied to EMCC journals, it correlated significantly with all impact metrics except number of articles published. The strongest correlations were seen with the Immediacy Index (r=0.609; p<0.001) and Article Influence Score (r=0.608; p<0.001).


CONCLUSION
The SMi's temporal stability and correlation with journal impact factors suggests that it may be a stable indicator of impact for medical education websites. Further study is needed to determine whether impact correlates with quality and how learners and educators can best utilize this tool.
Psychological contributions to functional independence: a longitudinal investigation of spinal cord injury rehabilitation.

OBJECTIVES
To investigate the contribution of prerehabilitation appraisals of spinal cord injury (SCI) and patient's coping strategies to the variance in functional independence postdischarge.


DESIGN
Longitudinal, cohort study. Patients aged 16 and older and sustaining an SCI were recruited from English- and German-speaking specialist spinal injuries centers. Measures of appraisals, coping strategies, mood, and functional independence were administered on commencing active rehabilitation (12-weeks postinjury) and following hospital discharge (1-y postinjury).


SETTING
Specialist SCI rehabilitation centers in England, Germany, Switzerland, and Ireland.


PARTICIPANTS
Patients (N=127) completed questionnaires at both time points. Sample age ranged between 17.5 and 64.5 years with a mean age of 39.3 years. Demographic and injury characteristics were similar to those reported in international statistics databases.


INTERVENTIONS
Not applicable.


MAIN OUTCOME MEASURE
FIM (motor subscale).


RESULTS
Injury characteristics, age, sex, current depression, and the utilization of the coping strategy, social reliance, at 12-weeks postinjury explained 33.5% of the variance in motor FIM at 1-year postinjury. Strong relationships were found between appraisals, coping styles, mood, and functional outcomes.


CONCLUSIONS
The coping strategy, social reliance, was found to contribute significantly when explaining the variance in functional outcomes. Suggestions were made to assess appraisals and coping strategies early in rehabilitation in order to provide effective interventions and additional support to those scoring highly on negative coping styles. Further research is recommended to provide support for the relationship between dependent coping strategies and functional outcomes.
Acupuncture with non-steroidal anti-inflammatory drugs (NSAIDs) versus acupuncture or NSAIDs alone for the treatment of chronic neck pain: an assessor-blinded randomised controlled pilot study

OBJECTIVE
To investigate the feasibility and sample size required for a full-scale randomised controlled trial of the effectiveness of acupuncture with non-steroidal anti-inflammatory drugs (NSAIDs) for chronic neck pain compared with acupuncture or NSAID treatment alone.


METHODS
A total of 45 patients with chronic neck pain participated in the study. For 3 weeks the acupuncture with NSAIDs treatment group took NSAIDs (zaltoprofen, 80 mg) daily while receiving acupuncture treatment three times a week. The acupuncture treatment group received treatment three times a week and the NSAID treatment group took NSAIDs daily. The primary outcomes were to determine the feasibility and to calculate the sample size. As secondary outcomes, pain intensity and pain-related symptoms for chronic neck pain were measured.


RESULTS
With regard to enrolment and dropout rates, 88.2% of patients consented to be recruited to the trial and 15.6% of participants were lost to follow-up. The sample size for a full-scale trial was estimated to be 120 patients. Although preliminary, there was a significant change in the visual analogue scale (VAS) for neck pain intensity between the baseline measurement and each point of assessment in all groups. However, there was no difference in VAS scores between the three groups.


CONCLUSIONS
This pilot study has provided the feasibility and sample size for a full-scale trial of acupuncture with NSAIDs for chronic neck pain compared with acupuncture or NSAID treatment alone. Further research is needed to validate the effects of acupuncture with NSAIDs.
Smart Cities' Data: Challenges and Opportunities for Semantic Technologies

How can we innovate smart systems for smart cities, to make data available homogeneously, inexpensively, and flexibly while supporting an array of applications that have yet to exist or be specified?
Automatic large-scale integrated circuit synthesis using allocation-based scheduling algorithm

In this paper, we present a new evolutionary algorithm, developed for scheduling and allocating in the automatic integrated circuit synthesis. It involves the scheduling of the operations and resource allocation for logic circuit design, with the object of speeding up the whole design process. The ®rst part of the paper presents the design optimization algorithm and its main functions, while in the second part the algorithm is compared with some other scheduling algorithms. The evaluation with cost factors, relating execution time and resource utilization, is made through different benchmark examples and various scheduling algorithms. We found that this evolutionary approach made the best or at least promising solutions in all tests and is therefore very appropriate for use in the automatic circuit design. q 2002 Elsevier Science B.V. All rights reserved.
A Multi-component View of Digital Forensics

We are living in a world where there is an increasing need for evidence in organizations. Good digital evidence is becoming a business enabler. Very few organizations have the structures (management and infrastructure) in place to enable them to conduct cost effective, low-impact and fficient digital investigations [1]. Digital Forensics (DF) is a vehicle that organizations use to provide good and trustworthy evidence and processes. The current DF models concentrate on reactive investigations, with limited reference to DF readiness and live investigations. However, organizations use DF for other purposes for example compliance testing. The paper proposes that DF consists of three components: Pro-active (ProDF), Active (ActDF) and Re-active (ReDF). ProDF concentrates on DF readiness and the proactive responsible use of DF to demonstrate good governance and enhance governance structures. ActDF considers the gathering of live evidence during an ongoing attack with a limited live investigation element whilst ReDF deals with the traditional DF investigation. The paper discusses each component and the relationship between the components.
Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus

Many queries on collections of text documents are too short to produce informative results. Automatic query expansion is a method of adding terms to the query without interaction from the user in order to obtain more refined results. In this investigation, we examine our novel automatic query expansion method using the probabilistic latent semantic thesaurus, which is based on probabilistic latent semantic analysis. We show how to construct the thesaurus by mining text documents for probabilistic term relationships, and we show that by using the latent semantic thesaurus, we can overcome many of the problems associated to latent semantic analysis on large document sets which were previously identified. Experiments using TREC document sets show that our term expansion method out performs the popular probabilistic pseudorelevance feedback method by 7.3%.
Dose-intensive chemotherapy in extensive-stage small-cell lung cancer

 The importance of the dose intensity of chemotherapy in achieving maximal therapeutic effect has recently been reported for several chemosensitive malignant diseases, with Murray et al. reporting that intensive weekly chemotherapy using the cisplatin, vincristine, doxorubicin, and etoposide (CODE) regimen in small-cell lung cancer (SCLC) is very effective. However, leukopenia is the major obstacle to delivering the planned dose in intensive regimens. Therefore, we investigated whether recombinant human granulocyte colony-stimulating factor (rhG-CSF) could allow full drug doses to be given as scheduled, thereby improving the final outcome. Extensive-stage (ES) SCLC patients were randomized to receive either CODE alone or CODE with rhG-CSF, with the CODE regimen consisting of cisplatin given i.v. at 25 mg/m2 weekly for 9 weeks; vincristine given i.v. at 1 mg/m2 during weeks 1, 2, 4, 6, and 8; and doxorubicin given i.v. at 40 mg/m2 and etoposide given i.v. at 80 mg/m2 for 3 days during weeks 1, 3, 5, 7, and 9. rhG-CSF at 50 μg/m2 was given s.c. on the days on which cytotoxic drugs were not given. From May 1989 to September 1991, 64 patients were enrolled in the study, of whom 63 were analyzable (31 for CODE alone and 32 for CODE with rhG-CSF). No difference in any of the patients’ characteristics except gender was found between the two groups. The complete response (CR) rate was 34% in the CODE with rhG-CSF group and 23% in the CODE alone group; the median survival was 59 and 32 weeks, respectively, in these groups (P = 0.004). Therefore CODE with rhG-CSF improved the survival of ES SCLC patients. On the basis of these results a phase III study to determine whether CODE with rhG-CSF would increase survival as compared to the standard regimen in ES SCLC was designed by the Japan Clinical Oncology Group.
A Near-Optimal Solution to a Two-Dimensional Cutting Stock Problem

We present an asymptotic fully polynomial approximation scheme for strip-packing, or packing rectangles into a rectangle of xed width and minimum height, a classical NP-hard cutting-stock problem. The algorithm nds a packing of n rectangles whose total height is within a factor of (1 +) of optimal (up to an additive term), and has running time polynomial both in n and in 1==. It is based on a reduction to fractional bin-packing. R esum e Nous pr esentons un sch ema totalement polynomial d'approximation pour la mise en boite de rectangles dans une boite de largeur x ee, avec hauteur mi-nimale, qui est un probleme NP-dur classique, de coupes par guillotine. L'al-gorithme donne un placement des rectangles, dont la hauteur est au plus egale a (1 +) (hauteur optimale) et a un temps d'execution polynomial en n et en 1==. Il utilise une reduction au probleme de la mise en boite fractionaire. Abstract We present an asymptotic fully polynomial approximation scheme for strip-packing, or packing rectangles into a rectangle of xed width and minimum height, a classical N P-hard cutting-stock problem. The algorithm nds a packing of n rectangles whose total height is within a factor of (1 +) of optimal (up to an additive term), and has running time polynomial both in n and in 1==. It is based on a reduction to fractional bin-packing.
Application of Principal Component Analysis & Multiple Regression Models in Surface Water Quality Assessment

Principal component analysis (PCA) and multiple lin ear regressions were applied on the surface water quality data with the aim of identifying the pollut ion sources and their contribution toward water qua lity variation. Surface water samples were collected fro m f ur different sampling points along Jakara River . Fifteen physico-chemical water quality parameters w ere selected for analysis: dissolved oxygen (DO), biochemical oxygen demand (BOD 5), chemical oxygen demand (COD), suspended solids ( SS), pH, conductivity, salinity, temperature, nitrogen in th e form of ammonia (NH3), turbidity, dissolved solids (DS), total solids (TS), nitrates (NO 3), chloride (Cl) and phosphates (PO 4 ). PCA was used to investigate the origin of each water quality parameters and yielded five varimax factors with 83.1% total variance and i addition PCA identified five latent pollution sourc es namely: ionic, erosion, domestic, dilution effec t and agricultural run-off. Multiple linear regressions i dentified the contribution of each variable with si gnificant value (r 0.970, R 0.942, p < 0.01).
White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study

BACKGROUND
The Metabolic Syndrome (MetS) is a cluster of metabolic abnormalities that includes hyperglucemia, hypertension, dyslipidemia and central obesity, conferring an increased risk of cardiovascular disease. The white blood cell (WBC) count has been proposed as a marker for predicting cardiovascular risk. However, few prospective studies have evaluated the relationship between WBC subtypes and risk of MetS.


METHODS
Participants were recruited from seven PREDIMED study centers. Both a baseline cross-sectional (n = 4,377) and a prospective assessment (n = 1,637) were performed. Participants with MetS at baseline were excluded from the longitudinal analysis. The median follow-up was 3.9 years. Anthropometric measurements, blood pressure, fasting glucose, lipid profile and WBC counts were assessed at baseline and yearly during the follow-up. Participants were categorized by baseline WBC and its subtype count quartiles. Adjusted logistic regression models were fitted to assess the risk of MetS and its components.


RESULTS
Of the 4,377 participants, 62.6% had MetS at baseline. Compared to the participants in the lowest baseline sex-adjusted quartile of WBC counts, those in the upper quartile showed an increased risk of having MetS (OR, 2.47; 95%CI, 2.03-2.99; P-trend<0.001). This association was also observed for all WBC subtypes, except for basophils. Compared to participants in the lowest quartile, those in the top quartile of leukocyte, neutrophil and lymphocyte count had an increased risk of MetS incidence. Leukocyte and neutrophil count were found to be strongly associated with the MetS components hypertriglyceridemia and low HDL-cholesterol. Likewise, lymphocyte counts were found to be associated with the incidence of the MetS components low HDL-cholesterol and high fasting glucose. An increase in the total WBC during the follow-up was also associated with an increased risk of MetS.


CONCLUSIONS
Total WBC counts, and some subtypes, were positively associated with MetS as well as hypertriglyceridemia, low HDL-cholesterol and high fasting glucose, all components of MetS.


TRIAL REGISTRATION
Controlled-Trials.comISRCTN35739639.
A First Step Toward Network Security Virtualization: From Concept To Prototype

Network security management is becoming more and more complicated in recent years, considering the need of deploying more and more network security devices/middle-boxes at various locations inside the already complicated networks. A grand challenge in this situation is that current management is inflexible and the security resource utilization is not efficient. The flexible deployment and utilization of proper security devices at reasonable places at needed time with low management cost is extremely difficult. In this paper, we present a new concept of network security virtualization, which virtualizes security resources/functions to network administrators/users, and thus maximally utilizing existing security devices/middle-boxes. In addition, it enables security protection to desirable networks with minimal management cost. To verify this concept, we further design and implement a prototype system, NETSECVISOR, which can utilize existing pre-installed (fixed-location) security devices and leverage software-defined networking technology to virtualize network security functions. At its core, NETSECVISOR contains: 1) a simple script language to register security services and policies; 2) a set of routing algorithms to determine optimal routing paths for different security policies based on different needs; and 3) a set of security response functions/strategies to handle security incidents. We deploy NETSECVISOR in both virtual test networks and a commercial switch environment to evaluate its performance and feasibility. The evaluation results show that our prototype only adds a very small overhead while providing desired network security virtualization to network users/administrators.