nils-herrmann/clean_scirepeval huggingface dataset:
Measuring information quality and success in business intelligence and analytics: key dimensions and impacts
Venue: Int. J. Inf. Qual.

The phenomenon of cloud computing and related innovations such as Big Data have given rise to many fundamental changes that are evident in information and data. Managing, measuring and developing business value from the plethora of this new data has significant impact on many corporate agendas, particularly in relation to the successful implementation of business intelligence and analytics (BI&A) However, although the influence of Big Data has fundamentally changed the IT application landscape, the metrics for measuring success and in particular, the quality of information, have not evolved. The measurement of information quality and the antecedent factors that influence information has also been identified as an area that has suffered from a lack of research in recent decades. Given the rapid increase in data volume and the growth and ubiquitous use of BI&A systems in organisations, there is an urgent need for accurate metrics to identify information quality.
Review of the Effects of Biochar Amendment on Soil Properties and Carbon Sequestration

AbstractBiochar is one of a series of materials referred to as black carbon because it is produced by thermochemical transformation of the original biomass material under a variety of conditions. The objectives of this paper are to summarize the characteristics of biochar created from different feedstocks and identify the potential of biochar to maintain soil quality and sequester carbon. Biochar properties were analyzed in context to the biochar sources using indicators of their elemental compositions, pH, surface area, and cation exchange capacity. Application effects were also compared to evaluate the potential of biochar as a soil amendment and carbon capture agent on the basis of pot and field study results. Biochar performed well in terms of the improvement of soil pH and organic carbon, the stability of soil fertilizer generated from its large surface areas and cation exchange capacities. In general, the use of biochar proved to be an appropriate strategy for carbon neutralization resulting from ca.
Somatic RET mutation in a patient with pigmented adrenal pheochromocytoma
Venue: Endocrinology, diabetes metabolism case reports

Pheochromocytomas (PCC) and paraganglioma (PGL) are rare neuroendocrine tumors arising from chromaffin cells of the neural crest. Mutations in the RET proto oncogene are associated with sporadic pheochromocytoma, familial or sporadic medullary thyroid carcinoma (MTC) and multiple endocrine neoplasia type 2. In the past, only few cases of pigmented PCCs, PGLs, and one case of pigmented MTC have been reported in the literature. Herein, we present the case of a 77 year old woman with a history of Tako tsubo cardiomyopathy and laboratory, as well as radiological, high suspicion of pheochromocytoma, who underwent left sided adrenalectomy. The 3 cm tumor, which was located on the upper pole of the left adrenal, appeared highly pigmented with dark red to black color. Histologic examinations revealed highly pleomorphic cells with bizarre, huge hyperchromatic nuclei, that immunohistochemically were positive for chromogranin A and synaptophysin, focally positive for HMB45 and negative for melan A. These clinical and pathological features led to the diagnosis of the rare variant of a melanotic 'black' pheochromocytoma. In our case a somatic RET mutation in exon 16 (RET c.2753T>C, p.Met918Thy) was detected by targeted next generation sequencing. In summary, this case represents a rare variant of catecholamine producing tumor with distinct histological features. A potential relationship between the phenotype, the cellular origin and the genetic alterations is discussed. Learning points Pheochromocytoma is a rare neuroendocrine tumor. Pigmentation is seen in several types of tumors arising from the neural crest. The macroscopic black aspect can mislead to the diagnosis of a metastasis deriving from a malignant melanoma. RET mutation are seen in catecholamine and non catecholamine producing tumors of the same cellular origin.
Effectiveness of Training Problem Solving and Anger Management on improve of problem solving ability and aggression control ability in Prisoners

Many of prisoners have poor levels of life skills, especially anger control, and problem solving skills. The aim of the present study was to improve anger management and problem solving ability in prisoners in Shiraz.  Based on semi experimental research design, with pre posttest, control group and one month followed up, 30male participants with crimes classified as robbery were selected and randomly divided into two equal groups of control and experimental (n=15) The instruments of the research were anger questionnaire (Buss and Perry, 1992)and problem solving questionnaire (Cassidy Long, 1996)which are administered by both groups as pre test and post test. The experimental group was exposed to six 90 minute sessions (two sessions a week) A follow up administration was done with aforementioned instruments a month later.  Data analysis with MANCOVA revealed that anger control and problem solving training, improved problem solving abilities and increased the ability to control anger in experimental group.  Problem solving skills, and anger management could be seen as sound ways to reduce aggression and facilitate problem solving ability in imprisoned populations.
Bricolage Programming and Problem Solving Ability in Young Children an Exploratory Study

Visual programming environments, such as Scratch, are increasingly being used by schools to teach problem solving and computational thinking skills. However, academic research is divided on the effect that visual programming has on problem solving in a computational context. This paper focuses on the role of bricolage programming in this debate; a bottom up programming approach that arises when using block style programming interfaces. Bricolage programming was a term originally used to describe the constructionist benefits of novice programming environments, yet more recent research has suggested it may promote poor programming practice that can negatively affect student ability and motivation. This paper describes an exploratory research study into bricolage programming aimed at exploring this concept in more depth. The study used a post test only experimental design to explore the effects of bricolage programming on problem solving when playing an educational programming game. Two versions of the game were created, one that used a Scratch like visual programming interface to encourage bricolage, and one that used a more structured visual programming interface. A pre test based on non verbal reasoning was used to perform a matched assignment of forty, 6 and 7 year olds to the two conditions. Each child then played their version of the game for thirty minutes. It was hypothesised that children in the Scratch like condition would insert, move and delete more programming instructions, in line with a bricolage approach. This in turn could result in differentiation in performance between conditions. The results of this study showed that more indications of bricolage did occur in the Scratch like condition. However, a range of measures of overall performance revealed no difference between the two groups. Post hoc analysis of the data suggested that indications of bricolage may vary according to the relative progress made by participants in the game. Findings and opportunities for future work are discussed.  Bricolage Programming, Problem Solving, Computational Thinking, Lightbot, Constructionism, Scratch
A Real Estate Boom with Chinese Characteristics

Chinese housing prices rose by over 10 percent per year in real terms between 2003 and 2014, and are now between two and ten times higher than the construction cost of apartments. At the same time, Chinese developers built 100 billion square feet of residential real estate. This boom has been accompanied by a large increase in the number of vacant homes, held by both developers and households. This boom may turn out to be a housing bubble followed by a crash, yet that future is far from certain. The demand for real estate in China is so strong that current prices might be sustainable, especially given the sparse alternative investments for Chinese households, so long as the level of new supply is radically curtailed. Whether that happens depends on the policies of the Chinese government, which must weigh the benefits of price stability against the costs of restricting urban growth.
An Investigation of Hole Machining Process on a Carbon Fiber Reinforced Plastic Sheet by Abrasive Waterjet

An experimental investigation of the hole machining performance for woven carbon fiber reinforced PEEK (polyetheretherketone) sheets by an abrasive waterjet (AWJ) is presented. It is shown that AWJ machining can produce good quality holes if the cutting parameters are properly selected. Plausible trends of the hole quality with respect to the process parameters are discussed. Nozzle traverse speed and intended or programmed hole size are found to have a significant effect on the diameter error of the machined holes, hole roundness, and hole wall inclination angle, while water pressure and abrasive mass flow rate exhibit an insignificant effect. An increase in the traverse speed decreases the overall hole quality, while an increase in the programmed hole diameter decreases the hole diameter error and roundness error, but increases the hole wall inclination. There is not any clear trend of the hole wall surface roughness with respect to the process parameters. Moreover, high water pressures may result in hole defects, such as entrance surface chipping, delamination, internal cracking and fiber pull out. It is found that the optimum process parameters are about 200 MPa water pressure, 2 mm/s nozzle traverse speed and 7.0 g/s abrasive mass flow rate. Recommendations are made for compensating for the hole size deviation and empirical models are fianlly developed for these hole characteristics.
Privacy Inference on Knowledge Graphs: Hardness and Approximation
Venue: 2016 12th International Conference on Mobile Ad Hoc and Sensor Networks (MSN)

The rapid information propagation facilitates our work and life without precedent in history, but it has tremendously exaggerated the risk and consequences of privacy invasion. Today's attackers are becoming more and more powerful in gathering personal information from many sources and mining these data to further uncover users' privacy. A great number of previous works have shown that, with adequate background knowledge, attackers are even able to infer sensitive information that is not revealed to anyone malicious before. In this paper, we model the attacker's knowledge using a knowledge graph and formally define the privacy inference problem. We show its #P hardness and design an approximation algorithm to perform privacy inference in an iterative fashion, which also reflects real life network evolution. The simulations on two data sets demonstrate the feasibility and efficacy of privacy inference using knowledge graphs.
Evolutionary Social Knowledge Graphs for Individual and Organizational Learning

Knowledge has been identified as one of the most important resources that grants organizations certain competitive advantages. Hence, while dealing with problems like the demographic change, organizations are trying to preserve the knowledge of their members. Its informal and network character, as well as its little half life demand high standards to record, store and maintain the knowledge which needs to be consider for the development of an appropriate knowledge tool. This paper presents a novel knowledge management system which addresses the scattered, distributed, flexible and interrelated nature of knowledge. It therefore brings different important aspects together and utilizes the personal knowledge management of individuals in working processes together with social collaboration methods for a global organizational learning process. The three reflection layers promote a continuous feedback loop resulting in high quality knowledge maturing. The paper mainly concentrates on the essential underlying architecture and knowledge structure that only makes the learning process possible.  Knowledge Management System; Informal Knowledge; Network Knowledge; Knowledge Graph; Knowledge Evolution; Organizational Learning; Reflection.
An Efficient Approach for Constructing Spanning Trees by Applying BFS and DFS Algorithm Directly on Non regular Graphic Sequences

Realization of graphic sequences and finding the spanning tree of a graph are two popular problems of combinatorial optimization. A simple graph that realizes a given non negative integer sequence is often termed as a realization of the given sequence. In this paper we have proposed a method for obtaining a spanning tree directly from a degree sequence by applying BFS and DFS algorithm separately, provided the degree sequence is graphic and non regular. The proposed method is a two step process. First we apply an algorithm to check whether the input sequence is realizable through the construction of the adjacency matrix corresponding to the degree sequence. Then we apply the BFS and DFS algorithm separately to generate the spanning tree from it.
In vitro cancer cell ECM interactions inform in vivo cancer treatment.
Venue: Advanced drug delivery reviews

The general progression of cancer drug development involves in vitro testing followed by safety and efficacy evaluation in clinical trials. Due to the expense of bringing candidate drugs to trials, in vitro models of cancer cells and tumor biology are required to screen drugs. There are many examples of drugs exhibiting cytotoxic behavior in cancer cells in vitro but losing efficacy in vivo, and in many cases, this is the result of poorly understood chemoresistant effects conferred by the cancer microenvironment. To address this, improved methods for culturing cancer cells in biomimetic scaffolds have been developed; along the way, a great deal about the nature of cancer cell extracellular matrix (ECM) interactions has been discovered. These discoveries will continue to be leveraged both in the development of novel drugs targeting these interactions and in the fabrication of biomimetic substrates for efficient cancer drug screening in vitro.
Enhanced Recovery Program in High Risk Patients Undergoing Colorectal Surgery: Results from the PeriOperative Italian Society Registry
Venue: World Journal of Surgery

BackgroundEnhanced recovery after surgery (ERAS) pathways represent the optimal approach for patients undergoing colorectal surgery. Elderly or low physical status patients have been often excluded from ERAS pathways because considered at high risk. The aim of this study is to assess the adherence to ERAS protocol and its impact on short term postoperative outcome in patients with different surgical risk undergoing elective colorectal resection.MethodsProspectively collected data entered in an electronic Italian registry specifically designed for ERAS were reviewed. Patients were divided into four groups according to age (70 year old cutoff) and preoperative physical status as measured by the ASA grade (I II vs. III IV) Adherence to 18 ERAS elements and postoperative outcomes were compared between groups. Regression analysis was used to identify independent factors associated with improved outcomes. Italian hospitals reported data on 706 patients undergoing elective colorectal surgery within an ERAS protocol. Patients with low physical status had reduced adherence to preoperative carbohydrate loading, epidural analgesia, PONV prophylaxis, and early urinary catheter removal. No difference was found between groups for adherence to other perioperative elements. Major complications occurred in 37 (5.2 patients without significant differences among groups (p 0.384) Median (IQR) time to readiness for discharge (TRD) was 4 (3 6) days, length of hospital stay (LOS) was 6 (4 7) days, and both were significantly shorter by only 1 day in the groups of younger patients (p 0.001) At multivariate analysis, laparoscopy increased adherence to ERAS items and reduced TRD, LOS, and morbidity. A high ASA grade was significantly associated with lower adherence, whereas older age significantly prolonged TRD and LOS.ConclusionERAS pathway can be safely applied in elderly and low physical status patients yielding slight differences in postoperative morbidity and time to recover. Laparoscopy was independently associated with increased adherence to ERAS protocol and improved short term postoperative outcome.
Small scale galaxy clustering in the eagle simulation

We study present day galaxy clustering in the EAGLE cosmological hydrodynamical simulation. EAGLE's galaxy formation parameters were calibrated to reproduce the redshift z 0.1 galaxy stellar mass function, and the simulation also reproduces galaxy colours well. The simulation volume is too small to correctly sample large scale fluctuations and we therefore concentrate on scales smaller than a few mega parsecs. We find very good agreement with observed clustering measurements from the Galaxy And Mass Assembly (GAMA) survey, when galaxies are binned by stellar mass, colour or luminosity. However, low mass red galaxies are clustered too strongly, which is at least partly due to limited numerical resolution. Apart from this limitation, we conclude that EAGLE galaxies inhabit similar dark matter haloes as observed GAMA galaxies, and that the radial distribution of satellite galaxies, as a function of stellar mass and colour, is similar to that observed as well.
Measurement Device Independent Quantum Key Distribution Over a 404 km Optical Fiber.
Venue: Physical review letters

Measurement device independent quantum key distribution (MDIQKD) with the decoy state method negates security threats of both the imperfect single photon source and detection losses. Lengthening the distance and improving the key rate of quantum key distribution (QKD) are vital issues in practical applications of QKD. Herein, we report the results of MDIQKD over 404 km of ultralow loss optical fiber and 311 km of a standard optical fiber while employing an optimized four intensity decoy state method. This record breaking implementation of the MDIQKD method not only provides a new distance record for both MDIQKD and all types of QKD systems but also, more significantly, achieves a distance that the traditional Bennett Brassard 1984 QKD would not be able to achieve with the same detection devices even with ideal single photon sources. This work represents a significant step toward proving and developing feasible long distance QKD.
Making the decoy state measurement device independent quantum key distribution practically useful

The relatively low key rate seems to be the major barrier to its practical use for the decoy state measurement device independent quantum key distribution (MDI QKD) We present a four intensity protocol for the decoy state MDI QKD that hugely raises the key rate, especially in the case in which the total data size is not large. Also, calculations show that our method makes it possible for secure private communication with fresh keys generated from MDI QKD with a delay time of only a few seconds.
Impact of Employee Commitment on Organizational Development

The current study was undertaken for the purpose of exploring the impact of employee commitment on organizational development. The population of this research study was comprised of middle level managers of all telecommunication companies of Khyber Pakhtunkhwa province of Pakistan. Primary data was collected from 370 managers. Simple random sampling method was used for the selection of respondents. Questionnaire was administered to collect Primary data. Organizational development and employee commitment were taken as dependent ad independent variables respectively. Analysis of data was carried out by applying SPSS 20. Correlation and regression analysis tests were carried out to establish link between employee commitment and organizational development, and also to find out the predictor of organizational development. The study revealed a high degree of correlation between employee commitment and its factors and organizational development. Regression analysis confirmed that employee commitment is predictor of organizational development. This study has great value for the managers and academicians as it will help them in designing an integrated and comprehensive system for creating commitment among the employees for improving performance of organization
Link Prediction via Matrix Completion
Venue: ArXiv

Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in the recent years. Link prediction is a fundamental issue to understand the mechanisms by which new links are added to the networks. We introduce the method of robust principal component analysis (robust PCA) into link prediction, and estimate the missing entries of the adjacency matrix. On one hand, our algorithm is based on the sparsity and low rank property of the matrix, on the other hand, it also performs very well when the network is dense. This is because a relatively dense real network is also sparse in comparison to the complete graph. According to extensive experiments on real networks from disparate fields, when the target network is connected and sufficiently dense, whatever it is weighted or unweighted, our method is demonstrated to be very effective and with prediction accuracy being considerably improved comparing with many state of the art algorithms.