Miracle-dz/UniFAR-FTUs huggingface dataset:
Wind speed conformal prediction in wind farm based on algorithmic randomness theory

An approach of a mean hourly wind speed conformal prediction in wind farm is proposed. Conformal prediction is a new prediction methodology. It can be used not just to make predictions but also to estimate the confidence under the usual independent and identically distributed assumption. Based on support vector regression, wind speed regions are predicted by inductive confidence machine. Wind speed regionpsilas width and confidence reflect the accuracy and reliability of the prediction. Compared to bare wind speed forecasting, the accuracy and reliability of the prediction can be used to reduce the risk of decision-making. Experimental results are given by using wind mean hourly speed measured in wind farm, and the application of the method carried out a detailed analysis and verification.
Development of the Adelaide Driving Self-Efficacy Scale

Objective: To describe the development of the Adelaide Driving Self-Efficacy Scale (ADSES) and to report on its reliability and validity. Methods: A set of 12 driving behaviours, developed through literature review, clinical experience and expert review, were rated for self-efficacy using a Likert scale. Internal consistency was investigated using a Cronbach's alpha coefficient and construct validity by comparing ADSES scores of stroke and non-stroke drivers. Criterion-related validity was examined by comparing ADSES scores with the result on a standardized on-road assessment. Setting: A rehabilitation hospital in Adelaide, South Australia. Participants: Staff from the hospital and stroke patients from the rehabilitation unit. Data from a non-stroke sample (n -/ 79) and stroke patients (n -/ 81) were used to test internal consistency and construct validity. A separate group of 45 people recommended for a driving assessment, of whom 34 were stroke patients, were used to test criterion validity. Results: Cronbach's alpha coefficient was 0.98, indicating high internal consistency. The non-stroke and stroke groups showed significant differences in ADSES scores (t(158)-/ 5.5, P B < 0.05), demonstrating construct validity. Differences in ADSES scores for those participants who passed or failed the on-road assessment were significant for both the entire driving assessment group (t(43)-/ 3.2, P B < 0.05) and the stroke subgroup (t(43)-/ 3.2, P B < 0.05), indicating criterion validity. Conclusion: The ADSES has demonstrated internal consistency and construct validity with the stroke and non-stroke population. The scale demonstrated criterion validity in its relationship with outcome of an on-road driving assessment. It appears to be a reliable and valid measure of driving self-efficacy.
Bagging During Markov Chain Monte Carlo for Smoother Predictions

Predictions Herbert K. H. Lee University of California, Santa Cruz Abstract: Making good predictions from noisy data is a challenging problem. Methods to improve the robustness of predictions include bagging and Bayesian shrinkage approaches. These methods can be gainfully combined by doing bootstrap resampling during Markov chain Monte Carlo (MCMC). The result is smoother predictions that are less affected by outliers or particularly noisy data points. An example is provided in predicting from a neural network model.
0 A CAPABILITIES APPROACH TO INNOVATION : A CASE STUDY OF A TECHNOLOGY AND INNOVATION HUB IN ZAMBIA Research Paper

This paper critically examines the linear claim, often made, that innovation leads to development. The orthodox view embedded in this claim, which equates development with industrial development and economic growth, is problematized in this paper partly by counter posing this orthodox concept of economic growth with Amartya Sen and Martha Nussbaum’s heterodox conceptualisation of human development, which advances a comprehensive view of development that requires evaluation not only of income and wealth, but also of other aspects of well-being and agency that people have reason to value. This research uses interpretive research methods including semi-structured interviews and participant observation to gain insight into technology and innovation hub dynamics. Findings include that those working at tech hubs value belonging to a community of shared interest and contributing to social enterprises. We argue that tech hubs, as collaborative spaces, may contribute to human-centred development processes in ways not directly leading to employment or market-based innovative products.
Editorial - Marketing Science and Big Data

This article was downloaded by: [128.97. 27.20] On: 25 May 2016, At: 09:44 Publisher: Institute for Operations Research and the Management Sciences (INFORMS) INFORMS is located in Maryland, USA Marketing Science Publication details, including instructions for authors and subscription information: http://pubsonline.informs.org Editorial—Marketing Science and Big Data Pradeep Chintagunta, Dominique M. Hanssens, John R. Hauser To cite this article: Pradeep Chintagunta, Dominique M. Hanssens, John R. Hauser (2016) Editorial—Marketing Science and Big Data. Marketing Science 35(3):341-342. http://dx.doi. org/10.1287/mksc.2016. 0996 Full terms and conditions of use: http://pubsonline.informs.org/page/terms-and-conditions This article may be used only for the purposes of research, teaching, and/or private study. Commercial use or systematic downloading (by robots or other automatic processes) is prohibited without explicit Publisher approval, unless otherwise noted. For more information, contact permissions@informs.org. The Publisher does not warrant or guarantee the article’s accuracy, completeness, merchantability, fitness for a particular purpose, or non-infringement. Descriptions of, or references to, products or publications, or inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or support of claims made of that product, publication, or service. Copyright © 2016, INFORMS Please scroll down for article—it is on subsequent pages INFORMS is the largest professional society in the world for professionals in the fields of operations research, management science, and analytics. For more information on INFORMS, its publications, membership, or meetings visit http://www.informs.org
Cooperative Spectrum Sensing with Double Adaptive Energy Thresholds and Relaying Users in Cognitive Radio

Cognitive radio (CR) technology has been proposed to improve spectrum utilization by allowing cognitive radio users to opportunistically access under-utilized frequency band. The requirement of cognitive radio system is reliable detecting signals from licensed users to avoid harmful interference. However, due to the effects of the channel fading and shadowing, individual cognitive radio may not able to reliably detect the presence of a licensed user. In this paper, we propose a cooperative spectrum sensing scheme with double adaptive threshold and relaying users in order to improve sensing performance of both local sensing performance and global sensing performance in a CR network. In the proposed scheme, the detection threshold is changeable to adapt with the fluctuation of the received signal power in each local detector of cognitive user. In addition, the CR users with higher reliability act as a relaying user for the object of helping their neighbors to improve sensing performance. Finally, all the local observations will be sent to the fusion center to determine the global decision by using the Likelihood rule without any requirement on priori information of the licensed user.
Expression of human macrophage metalloelastase gene in hepatocellular carcinoma: Correlation with angiostatin generation and its clinical significance

Macrophage metalloelastase, a member of the human matrix metalloproteinase family, is believed to play an important role in angiostatin generation, which, in experimental studies, has an antiangiogenic function and is a key molecule in tumor dormancy. However, no clinical studies have been reported regarding the correlation between human macrophage metalloelastase (HME) gene expression and angiostatin production. Therefore, the present study was designed to evaluate the HME messenger RNA (mRNA) expression and angiostatin generation in hepatocellular carcinoma (HCC). Tumorous and contiguous nontumorous tissues were obtained from 40 HCC patients who underwent curative partial hepatectomy. By using Northern blot hybridization, HME mRNA was detected in 25 of the 40 HCC samples and, in all of these cases, the expression in tumorous tissues was stronger than in the nontumorous tissues. In situhybridization identified the HCC cells as mainly responsible for the signals shown in Northern blot. Angiostatin was detected by Western blot mainly in tumors and showed significant association with HME mRNA expression in tumorous tissues (P= .0008). The patients whose tumors did not express HME mRNA and, thus, did not produce angiostatin, demonstrated poorer survival than those whose tumors showed high expression of HME mRNA and angiostatin generation (P = .002). The univariate and multivariate analyses revealed that HME mRNA expression is a new and independent variable affecting overall survival (P = .001 and P = .03, respectively). These findings show that the HME gene is expressed in HCC being significantly associated with angiostatin generation by such tumors and that HME mRNA expression may serve as a new molecular prognostic marker in HCC patients after partial hepatectomy.
JACoW : Relative Insensitivity to Inhomogeneities on Very High Energy Electron Dose Distributions

We investigated the effects of heterogeneous regions on dose deposition of very high-energy electrons (VHEE) using both Geant4 simulations and experiments performed at the CALIFES facility at CERN. Small air and acetal plastic (bone equivalent) cavities were embedded in a water phantom and irradiated with a 197 MeV electron beam. Experimentally determined transverse dose profiles were acquired using radiation sensitive EBT3 Gafchromic films embedded in the water phantom at various depths. EBT3 Gafchromic films were found to be a suitable dosimeter for relative dose dosimetry of VHEE beams. Simulated and measured results were found to be consistent with each other and the largest discrepancy was found to be no more than 5%. Dose profiles of VHEE beams were found to be relatively insensitive to embedded high and low density geometries.
Immigration and Production Technology

Research on the labor market impact of immigration typically relies on a single-good model of production with separable capital. This article discusses theory and evidence that suggest that this standard model is too simple to capture the long-run labor market impact of immigration. A level of capital-skill complementarity supported in studies both involving and not involving immigration alone reduces the relative wage impact of immigration by 40% compared to simulations with separable capital. Other models in which the production structure responds to skill-mix changes, including models with endogenous choice of technique, directed technical change, or human capital spillovers, also imply that the long-run impact of immigration on wages is smaller than predicted by the standard model. This article discusses new research that tries to credibly evaluate such models using immigration-induced variation in the skill mix, an approach with further potential, and evidence that immigration impacts innovation and firm formation.
Discovery and Characterization of Orthosteric and Allosteric Muscarinic M2 Acetylcholine Receptor Ligands by Affinity Selection-Mass Spectrometry

Screening assays using target-based affinity selection coupled with high-sensitivity detection technologies to identify small-molecule hits from chemical libraries can provide a useful discovery approach that complements traditional assay systems. Affinity selection-mass spectrometry (AS-MS) is one such methodology that holds promise for providing selective and sensitive high-throughput screening platforms. Although AS-MS screening platforms have been used to discover small-molecule ligands of proteins from many target families, they have not yet been used routinely to screen integral membrane proteins. The authors present a proof-of-concept study using size exclusion chromatography coupled to AS-MS to perform a primary screen for small-molecule ligands of the purified muscarinic M2 acetylcholine receptor, a G-protein-coupled receptor. AS-MS is used to characterize the binding mechanisms of 2 newly discovered ligands. NGD-3350 is a novel M2-specific orthosteric antagonist of M2 function. NGD-3366 is an allosteric ligand with binding properties similar to the allosteric antagonist W-84, which decreases the dissociation rate of N-methyl-scopolamine from the M2 receptor. Binding properties of the ligands discerned from AS-MS assays agree with those from in vitro biochemical assays. The authors conclude that when used with appropriate small-molecule libraries, AS-MS may provide a useful high-throughput assay system for the discovery and characterization of all classes of integral membrane protein ligands, including allosteric modulators.
Comparative analysis of a contention based (RI-MAC) and TDMA based (ATMA) MAC protocols for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have been widely considered as one of the most important technologies that promises wide range of applications in the field of medical, military, environment, home, agriculture, etc. A variety of MAC protocols have been proposed for Wireless Sensor Networks. This paper presents the comparative analysis of two MAC protocols: RI-MAC (Receiver Initiated Asynchronous duty cycle MAC protocol) which is a contention based protocol; and ATMA (Advertisement-based TDMA MAC protocol). The two MAC protocols are analyzed using four performance parameters such as throughput, packet delivery ratio, end to end delay and energy consumption.
An Improved BET Method for Brain Segmentation

The Brain Extraction Tool (BET) developed by Smith is widely used for brain segmentation due to its simplicity, accuracy and insensitivity to parameter settings. However, it typically requires a large number of iterations to generate acceptable results. It also sometimes fails to recognize boundaries of the brain. Moreover, obvious under-segmentation occurs for some datasets. In this paper, we present an improved BET method where at each iteration, we enhance the vertex displacement, add a new search path and embed an independent surface reconstruction process. These strategies lead to much faster convergence. Furthermore, a scheme based on fuzzy c-means is proposed to refine the segmentation. Experimental results based on various datsets demonstrated that the proposed method significantly outperforms the original BET and other competing methods.
The Disaster at Japan's Fukushima-Daiichi Nuclear Power Plant after the March 11, 2011 Earthquake and Tsunami, and the Resulting Spread of Radioisotope Contamination1

On March 11, 2011 eastern Japan was struck by a magnitude 9.0 earthquake and an enormous tsunami, over 13 m in height, which together killed over 20,500 people and resulted in the evacuation of over 320,000 people from the devastated areas. This paper describes the damage sustained by the Fukushima-Daiichi nuclear power plant during this unpredicted major natural disaster and the events that happened in the months after this accident. The events occurring at the Fukushima-Daiichi nuclear power plant, the actions taken to minimize the effects of the damage to the plant and to protect the public, and the points at which the responses proved to be inadequate all offer lessons that will be of value to those planning for and responding to future natural disasters and accidents in Japan and around the world.
BINGR: Binary Search based Gaussian Regression

Regression is the study of functional dependency of one variable with respect to other variables. In this paper we propose a novel regression algorithm, BINGR, for predicting dependent variable, having the advantage of low computational complexity. The algorithm is interesting because instead of directly predicting the value of the response variable, it recursively narrows down the range in which response variable lies. BINGR reduces the computation order to logarithmic which is much better than that of existing standard algorithms. As BINGR is parameterless, it can be employed by any naive user. Our experimental study shows that our technique is as accurate as the state of the art, and faster by an order of magnitude.
Phenols degradation by Fenton reaction in the presence of chlorides and sulfates

Since they often inhibit abundant bacteriological populations in municipal wastewater treatment plants, alternative treatment methods should be investigated - including advanced oxidation processes. This paper studies the degradation of three representatives of phenolic compounds using the Fenton sys- tem in the presence of chlorides and sulfates: phenol, 2-chlorophenol and 2-nitrophenol. The presence of anions influenced degradation rates of all studied compounds, which is attributed to the reduction in hy- droxyl radical generation due to the formation of iron-complexes as well as the formation of much less reactive inorganic radicals. Differences between degradation rates of studied compounds and their degra- dation products in comparison to the rates observed for pure components show higher resistance of formed intermediates in comparison to phenol or 2-nitrophenol. Additionally, it was found that present anions in- fluence further biodegradation of phenolic compounds but not similarly for all the compounds.
Throughput Prediction in Cellular Networks: Experiments and Preliminary Results

Throughput has a strong impact on user experience in cellular networks. The ability to predict the throughput of a connection, before it starts, will bring new possibilities, particularly to the Internet service providers. They could adapt contents to the quality of service really reachable by users, in order to enhance their experience. First this study highlights the prediction capabilities thanks to different algorithms and data gathered at different network levels. Then we propose a simple approach based on machine learning to predict the throughput using a few data related to the context of use.
Risk of false‐positive prenatal diagnosis using interphase FISH testing: hybridization of alpha‐satellite X probe to chromosome 19

FISH analysis of uncultured interphase amniotic fluid cells from a male fetus revealed two signals using an alpha‐satellite X‐chromosome DNA probe. One of the signals was much smaller than the other. It was subsequently shown that the normal sized signal was located on the X chromosome and the smaller signal was located at the centromere of chromosome 19. This hybridization pattern was confirmed in the newborn infant and in his phenotypically normal father. The use of alpha‐satellite DNA probes on interphase cells could result in false‐positive errors due to rare variants such as the X‐chromosome alpha‐satellite found on chromosome 19 in our patient. Copyright © 1999 John Wiley & Sons, Ltd.
Reforming Medical Education in Ethics and Humanities by Finding Common Ground With Abraham Flexner

Abraham Flexner was commissioned by the Carnegie Foundation for the Advancement of Teaching to conduct the 1910 survey of all U.S. and Canadian medical schools because medical education was perceived to lack rigor and strong learning environments. Existing proprietary schools were shown to have inadequate student scholarship and substandard faculty and teaching venues. Flexner's efforts and those of the American Medical Association resulted in scores of inadequate medical schools being closed and the curricula of the survivors being radically changed. Flexner presumed that medical students would already be schooled in the humanities in college. He viewed the humanities as essential to physician development but did not explicitly incorporate this position into his 1910 report, although he emphasized this point in later writings. Medical ethics and humanities education since 1970 has sought integration with the sciences in medical school. Most programs, however, are not well integrated with the scientific/clinical curriculum, comprehensive across four years of training, or cohesive with nationally formulated goals and objectives. The authors propose a reformation of medical humanities teaching in medical schools inspired by Flexner's writings on premedical education in the context of contemporary educational requirements. College and university education in the humanities is committed to a broad education, consistent with long-standing tenets of liberal arts education. As a consequence, premedical students do not study clinically oriented science or humanities. The medical school curriculum already provides teaching of clinically relevant sciences. The proposed four-year curriculum should likewise provide clinically relevant humanities teaching to train medical students and residents comprehensively in humane, professional patient care.
URL Rule Based Focused Crawler

Vertical search engines use focused crawlers as their key component and develop some specific algorithms to select Web pages relevant to some pre-defined set of topics. Therefore, how to effectively build up a semantic pattern for specific topics is extremely important to such search engines. In this paper we propose an UBFC (URL rule based focused crawler) algorithm based on a double-crawler framework (an experimental crawler and a focused crawler). The kernel of our UBFC is an URL regular expression learner, which is used to automatically learn and generalize the regular expressions of URLs of the sample Web pages. The so generated URL regular expressions are used to direct the UBFC to work. Using UBFC, we developed a Nutch based focused crawler for hardwaretoday.com and get an excellent result. To evaluate the UBFC, we conduct some experiments to make an analysis through comparison with two proposed methods, the BFSC (breadth first search crawler) and BLFC (baseline focused crawler).
Thrombocyte indices in dogs infected with Ehrlichia canis and Anaplasma phagocytophilum

Objectives. In the present study alterations in trombocyte numbers and trombocyte indices were investigated in 51 dogs naturally infected with E. canis and/or A. phagocytophilum. Achieved results were compared to those of 20 healty dogs comprising control group. Materials and methods. Naturally occuring vector borne diseases were diagnosed by use of a canine point-of-care ELISA kit (Snap 4Dx, Idexx). Dogs were enrolled into 3 groups as follows; II. group involved A. phagocytophilum infected dogs (n=10), III. group (n=13) E. canis+ A. phagocytophilum co-infected, and IV. group (n=28) E. canis infected dogs. Healthy controls (n=20) were enrolled in group I. Results. Mean PLT counts were significantly decreased in II. , III. and IV. groups (159.6±63.5, 142.3±44.3, 148.7±33.5, respectively) in comparison to control group (370.4±28.6) (p≤0.01). Mean PCT values in groups II. , III. and IV. (0.1530±0.590, 0.1531±0.0441, 0.1450±0.314, respectively) were significantly decreased in contrast to control group (0.3695±0.0283) (p≤0.01). Between PLT and PCT values, statistically significant positive correlation (p≤0.01) (r=0.988, 0.990 and 0.981, respectively) was evident among groups II. , III. and IV. Conclusions. Infected dogs showed significant alterations (p ≤0.01) among mean PLT and PCT values and a positive correlation was evident between those 2 parameters (p≤0.01), whereas alterations on mean MPV and PDWc were not statistically significant. Finally it was suggested that according to the aforimentioned results, PLT and PCT values may be used as valuable parameters for diagnosis and probably for monitorization and prognosis in infected dogs with Ehrlichiosis and/or Anaplasmosis.