bluuebunny/crossref_metadata_2025_split huggingface dataset:
An ensemble based on neural networks with random weights for online data stream regression
Authors: de Almeida Ricardo , Goh Yee Mey , Monfared Radmehr , Steiner Maria Teresinha Arns , West Andrew 
Published: November 2019

Abstract
Most information sources in the current technological world are generating data sequentially and rapidly, in the form of data streams. The evolving nature of processes may often cause changes in data distribution, also known as concept drift, which is difficult to detect and causes loss of accuracy in supervised learning algorithms. As a consequence, online machine learning algorithms that are able to update actively according to possible changes in the data distribution are required. Although many strategies have been developed to tackle this problem, most of them are designed for classification problems. Therefore, in the domain of regression problems, there is a need for the development of accurate algorithms with dynamic updating mechanisms that can operate in a computational time compatible with today’s demanding market. In this article, the authors propose a new bagging ensemble approach based on neural network with random weights for online data stream regression. The proposed method improves the data prediction accuracy as well as minimises the required computational time compared to a recent algorithm for online data stream regression from literature. The experiments are carried out using four synthetic datasets to evaluate the algorithm’s response to concept drift, along with four benchmark datasets from different industries. The results indicate improvement in data prediction accuracy, effectiveness in handling concept drift, and much faster updating times compared to the existing available approach. Additionally, the use of design of experiments as an effective tool for hyperparameter tuning is demonstrated.
A new point-of-care test for the rapid detection of urinary tract infections
Authors: Arienzo Alyexandra , Cellitti Valentina , Ferrante Valeria , Losito Francesca , Stalio Ottavia , Murgia Lorenza , Marino Rossella , Cristofano Flavia , Orrù Michela , Visca Paolo , Di Somma Salvatore , Silvestri Lorena , Ziparo Vincenzo , Antonini Giovanni 
Published: November 2019

Abstract
Urinary tract infections (UTIs) are among the most common infections in all age groups. Fast and accurate diagnosis is essential to ensure a timely and effective therapy. Alongside with reference culture-based methods, several point-of-care tests (POCTs) for early detection of UTIs have been developed, but they have not been significantly implemented in current clinical practice. The Micro Biological Survey (MBS) POCT is a simple test developed by MBS Diagnostics Ltd. (London, UK) for the detection and management of UTIs. The present study has been undertaken to investigate the potentials and limits of the MBS POCT. A total of 349 patients were enrolled in two open-label, monocentric, non-interventional clinical trials in collaboration with an Emergency Medicine department and the outpatient clinic of two hospitals in Rome. Results of urine analysis using the MBS POCT were compared with those of the routine culture-based tests for UTI diagnosis performed by the hospital laboratory. The MBS POCT provided fast results revealing high bacterial count UTIs (≥ 105 CFU/ml) with 97% accuracy, 92% sensitivity, 100% specificity, 99% PPV, and 96% NPV within a 5-h analytical time threshold.
Aggregation mechanisms for crowd predictions
Authors: Palan Stefan , Huber Jürgen , Senninger Larissa 
Published: November 2019

AbstractWhen the information of many individuals is pooled, the resulting aggregate often is a good predictor of unknown quantities or facts. This aggregate predictor frequently outperforms the forecasts of experts or even the best individual forecast included in the aggregation process (“wisdom of crowds”). However, an appropriate aggregation mechanism is considered crucial to reaping the benefits of a “wise crowd”. Of the many possible ways to aggregate individual forecasts, we compare (uncensored and censored) arithmetic and geometric mean and median, continuous double auction market prices and sealed bid-offer call market prices in a controlled experiment. We use an asymmetric information structure, where participants know different sub-sets of the total information needed to exactly calculate the asset value to be estimated. We find that prices from continuous double auction markets clearly outperform all alternative approaches for aggregating dispersed information and that information lets only the best-informed participants generate excess returns.
Genetic mapping of leaf-related traits in autotetraploid alfalfa (Medicago sativa L.)
Authors: He Fei , Kang Junmei , Zhang Fan , Long Ruicai , Yu Long-Xi , Wang Zhen , Zhao Zhongxiang , Zhang Tiejun , Yang Qingchuan 
Published: November 2019

Abstract
Understanding the genetic architecture of leaf-related traits is important for improving alfalfa yield. Leaf size has a great influence on the protein content and yield for alfalfa. In this study, a low-yielding precocious alfalfa individual (paternal parent) and a high-yielding late-maturing alfalfa individual (maternal parent) were used to build a hybrid F1 population of 149 individuals. The linkage map was constructed using simple sequence repeat and single nucleotide polymorphism markers, and quantitative trait loci (QTL) for leaf length, leaf width, and leaf area were mapped using 3 years phenotypic data. We identified a total of 60 QTLs associated with leaf size. These QTLs were located on chromosomes 1 to 8, and the percent of phenotypic variation explained by QTL ranged from 2.97% to 18.78%. There were 13 QTLs explain more than 10% of phenotypic variation, most of which represent novel loci controlling leaf traits that have not been found in previous studies. The nearest markers of QTL may be used in marker-assisted selection and breeding alfalfa new varieties with high yield.
Dimensionality and Predictive validity of the Classroom Learning Activities Checklist in Prekindergarten
Authors: Reynolds Arthur J. , Candee Allyson J. 
Published: November 2019

AbstractThe Classroom Learning Activities Checklist (CLAC) is a brief classroom observation measure that assesses task-oriented and self-regulated learning in early childhood environments. We assessed the tool’s dimensionality and validity in predicting prekindergarten (PreK) learning gains. The study sample is from the Midwest Child-Parent Center (MCPC) program, an evidence-based PreK–3rd grade school reform model providing comprehensive educational and family support services. Data from 1358 enrolled students in 72 observed classrooms indicated that a 2-factor model—instructional responsiveness and student engagement—explained 50% of the variance in item scores. Evidence for construct validity was strong. Linear and probit regression analyses indicated that CLAC scores independently predicted learning gains in literacy (ES = .34SD) and math (ES = .30SD) on the Teaching Strategies Gold Assessment System, a standardized performance assessment. Findings support the validity of the CLAC in assessing the classroom learning environment. Implications for program monitoring, evaluation, and professional development are discussed.
Dietary lipids, gut microbiota and lipid metabolism
Authors: Schoeler Marc , Caesar Robert 
Published: November 2019

Abstract
The gut microbiota is a central regulator of host metabolism. The composition and function of the gut microbiota is dynamic and affected by diet properties such as the amount and composition of lipids. Hence, dietary lipids may influence host physiology through interaction with the gut microbiota. Lipids affect the gut microbiota both as substrates for bacterial metabolic processes, and by inhibiting bacterial growth by toxic influence. The gut microbiota has been shown to affect lipid metabolism and lipid levels in blood and tissues, both in mice and humans. Furthermore, diseases linked to dyslipidemia, such as non-alcoholic liver disease and atherosclerosis, are associated with changes in gut microbiota profile. The influence of the gut microbiota on host lipid metabolism may be mediated through metabolites produced by the gut microbiota such as short-chain fatty acids, secondary bile acids and trimethylamine and by pro-inflammatory bacterially derived factors such as lipopolysaccharide. Here we will review the association between gut microbiota, dietary lipids and lipid metabolism
Mutual funds, tunneling and firm performance: evidence from China
Authors: Chizema Amon , Jiang Wei , Kuo Jing-Ming , Song Xiaoqi 
Published: November 2019

Abstract
In contrast to US companies, Chinese firms have concentrated ownership with the effect that the central agency problem emanates from controlling shareholders expropriating minority shareholders, a phenomenon referred to as ‘tunneling’. This study examines the monitoring effect of mutual funds on the tunneling behavior of controlling shareholders. Due to the distinctive institutional settings in China, including a high level of ownership concentration, underdeveloped legal system in the stock markets and weak governance mechanisms in the mutual fund industry, we find that an increase in mutual fund ownership effectively mitigates the tunneling behavior of controlling shareholders thus improving firm performance. Nonetheless, after the mutual fund ownership reaches a certain threshold, an increase in concentrated mutual fund ownership is associated with heavier tunneling and lower firm performance. This may suggest that concentrated mutual funds collude with controlling shareholders in order to preserve their private interests. Moreover, the above effects are found to be more pronounced for firms with heavier tunneling activities. Our finding of the non-monotonic monitoring role of mutual funds brings attention to the private interest theory for mutual funds, an aspect that has been largely ignored in previous studies on mutual funds.
Early career performance and its correlation with gender and publication output during doctoral education
Authors: Lindahl Jonas , Colliander Cristian , Danell Rickard 
Published: November 2019

AbstractPublishing in peer-reviewed journals as a part of the doctoral education is common practice in many countries. The publication output of doctoral students is increasingly used in selection processes for funding and employment in their early careers. Against the backdrop of this development, the aim of this study is to examine (1) how performance during the doctoral education affect the probability of attaining research excellence in the early career; and (2) if there is performance differences between males and females in the early career and to which degree these gender differences can be explained by performance differences during the doctoral education. The data consist of Swedish doctoral students employed at the faculty of science and technology and the faculty of medicine at a Swedish university. Our main conclusions are that (1) research performance during the doctoral education has a positive effect on attaining excellence in the early career; (2) there is an interaction between publication volume and excellence during doctoral education suggesting that a combination of quantity and quality in doctoral students’ performance is indicative of future excellence; (3) there are performance differences in the early career indicating that males have a higher probability of attaining excellence than females, and; (4) this difference is partly explained by performance differences during the doctoral education.
Approaching or Re-thinking the Realm of Criminal Law?
Authors: Lacey Nicola 
Published: November 2019

Abstract
In his latest monograph, The Realm of Criminal Law, Antony Duff gives us a further, magisterial statement of the vision of criminal law, its procedural framework, and its sanctioning system, which he has been developing over the past 35 years. This is Duff’s own book-length contribution to the tremendously fruitful collaborative Criminalization project. That project has already generated four edited volumes (Duff et al. in The boundaries of the criminal law, 2010; The structures of the criminal law, 2011; The constitution of the criminal law, 2013; Criminalization: the political morality of the criminal law, 2014) and two fine monographs by Farmer (Making the modern criminal law: criminalization and civil order, 2016) and Tadros (Wrongs and crimes, 2016; see also Tadros in The ends of harm: the moral foundations of criminal law, 2011). It will shape the field for decades to come; and it has decisively laid to rest a longstanding puzzle about why, within criminal law theory, the principles underlying criminalisation had received relatively little attention as compared with those underlying, most obviously, criminal responsibility (cf. Lacey in Frontiers of criminality, 1995).
Human scent samples for chemical analysis
Authors: Pojmanová Petra , Ladislavová Nikola , Škeříková Veronika , Kania Patrik , Urban Štěpán 
Published: November 2019

Abstract
This study is focused on finding an optimal preparation of the human scent samples for their detailed chemical analysis in connection with the possible forensic identifications of human individuals in the future. At the present time, the scent identification of people is carried out nearly exclusively using specially trained dogs. It is assumed that the human scent contains a certain group of compounds which allows the identification of people, the so-called human scent signature; however, its chemical composition is completely unknown, as of now. The principal problem of human scent studies consists in the very low concentrations of thousands of the scent compounds, whereas their relative concentrations are usually dramatically different. It seems to be obvious that the most appropriate analytical technique for these thousands of different chemical compounds is GC/MS. However, it is also necessary to find the most suitable sorbent material for human scent collection, an extraction solvent, and a pre-concentration technique. The selection of the appropriate gas chromatographic method is also important to achieve the optimal resolution of the targeted compounds. Of course, in the first instance, it is necessary to decide what it means “the most suitable” for human scent chemical analysis.
Blanking induced damage in thin 3.2% silicon steel sheets
Authors: Ghadbeigi H. , Al-Rubaye A. , Robinson F. C. J. , Hawezy D. , Birosca S. , Atallah K. 
Published: November 2019

AbstractThe cores of electrical motors and transformers are made by blanking, piercing and stacking of thin metallic sheets having various features cut from the original blank. The material experiences local plastic deformation near the cut edge due to the blanking operation. The quality and efficiency of the produced products are directly affected by the mechanical and magnetic properties of the blanks at the cut edge. The effects of the blanking process on deformation evolution in thin sheets of high Si electrical steels was investigated. In-situ blanking experiments together with the digital image correlation (DIC) technique were used to quantify local deformation evolution during thin sheet blanking operations. Magnetic hysteresis losses were measured using a purpose-built single sheet tester and linked to the measured deformation maps. The residual stresses were qualitatively assessed by means of nano-hardness measurements while the local microstructural properties and dislocation generations were determined using EBSD analysis of the blanked parts. The results indicated that for the tested materials with 0.1t blanking clearance, electrical steel sheets with 0.2 mm thickness experiences larger deformation prior to fracture during blanking compared with samples having 0.35 mm thickness. This has a direct relationship with the measured hysteresis losses. However, the dislocation maps indicated that dislocations of GNDs are more pronounced for thicker samples that aligns with the effect of dislocations on magnetic power losses rather than hysteresis losses measured in this research.
Mathematics and Theology in the Thought of Nicholas of Cusa
Authors: Murawski Roman 
Published: November 2019

Abstract
Nicholas of Cusa was first of all a theologian but he was interested also in mathematic and natural sciences. In fact philosophico-theological and mathematical ideas were intertwined by him, theological and philosophical ideas influenced his mathematical considerations, in particular when he considered philosophical problems connected with mathematics and vice versa, mathematical ideas and examples were used by him to explain some ideas from theology. In this paper we attempt to indicate this mutual influence. We shall concentrate on the following problems: (1) the role and place of mathematics and mathematical knowledge in knowledge in general and in particular in theological knowledge, (2) ontology of mathematical objects and their origin, in particular their relations to God and their meaning for the description of the world and physical reality, (3) infinity in mathematics versus infinity in theology and their mutual relations and connections. It will be shown that—according to Nicholas—mathematics and mathematical thinking are tools of rationalization of theology and liberating it in a certain sense from the trap of apophatic theology.
Flow structure and rock-breaking feature of the self-rotating nozzle for radial jet drilling
Authors: Liao Hua-Lin , Jia Xia , Niu Ji-Lei , Shi Yu-Cai , Gu Hong-Chen , Xu Jun-Fu 
Published: November 2019

Abstract
For improving the hole-enlarging capability, roundness and rock-breaking efficiency of the nozzle in radial jet drilling, a new structure of self-rotating nozzle was put forward. The flow structure and rock-breaking features of the self-rotating nozzle were investigated with sliding mesh model and labortary tests and also compared with the straight and the swirling integrated nozzle and multi-orifice nozzle which have been applied in radial jet drilling. The results show that the self-rotating jet is energy concentrated, has longer effective distance, better hole-enlarging capability and roundness and impacts larger circular area at the bottom of the drilling hole, compared with the other two nozzles. Forward jet flow generated from the nozzle is peak shaped, and the jet velocity attenuates slowly at the outer edge. Due to periodic rotary percussion, the pressure fluctuates periodically on rock surface, improving shear and tensile failures on the rock matrix and thereby enhancing rock-breaking efficiency. The numerical simulation results of the flow structure of the nozzle are consistent with the experiments. This study provides an innovative approach for radial jet drilling technology in the petroleum industry.
Multi-objective optimization of high-sulfur natural gas purification plant
Authors: Shang Jian-Feng , Ji Zhong-Li , Qiu Min , Ma Li-Min 
Published: November 2019

Abstract
There exists large space to save energy of high-sulfur natural gas purification process. The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption and further improve the production rate of purified gas. A steady-state simulation model of high-sulfur natural gas purification process has been set up by using ProMax. Seven key operating parameters of the purification process have been determined based on the analysis of comprehensive energy consumption distribution. To solve the problem that the process model does not converge in some conditions, back-propagation (BP) neural network has been applied to substitute the simulation model to predict the relative parameters in the optimization model. The uniform design method and the table U21 (107) have been applied to design the experiment points for training and testing BP model. High prediction accuracy can be achieved by using the BP model. Non-dominated sorting genetic algorithm-II has been developed to optimize the two objectives, and 100 Pareto optimal solutions have been obtained. Three optimal points have been selected and evaluated further. The results demonstrate that the total comprehensive energy consumption is reduced by 13.4% and the production rate of purified gas is improved by 0.2% under the optimized operating conditions.
Factors regulating the coastal nutrient filter in the Baltic Sea
Authors: Carstensen Jacob , Conley Daniel J. , Almroth-Rosell Elin , Asmala Eero , Bonsdorff Erik , Fleming-Lehtinen Vivi , Gustafsson Bo G. , Gustafsson Camilla , Heiskanen Anna-Stiina , Janas Urzsula , Norkko Alf , Slomp Caroline , Villnäs Anna , Voss Maren , Zilius Mindaugas 
Published: November 2019

Abstract
The coastal zone of the Baltic Sea is diverse with strong regional differences in the physico-chemical setting. This diversity is also reflected in the importance of different biogeochemical processes altering nutrient and organic matter fluxes on the passage from land to sea. This review investigates the most important processes for removal of nutrients and organic matter, and the factors that regulate the efficiency of the coastal filter. Nitrogen removal through denitrification is high in lagoons receiving large inputs of nitrate and organic matter. Phosphorus burial is high in archipelagos with substantial sedimentation, but the stability of different burial forms varies across the Baltic Sea. Organic matter processes are tightly linked to the nitrogen and phosphorus cycles. Moreover, these processes are strongly modulated depending on composition of vegetation and fauna. Managing coastal ecosystems to improve the effectiveness of the coastal filter can reduce eutrophication in the open Baltic Sea.
Cash for trash: an agro-economic value assessment of urban organic materials used as fertilizers in Cameroon
Authors: Thuriès Laurent J.-M. , Ganry Francis , Sotamenou Joel , Oliver Robert , Parrot Laurent , Simon Serge , Montange Denis , Fernandes Paula 
Published: November 2019

Abstract
The rapid expansion of cities in sub-Saharan Africa generates increasing volumes of diversified organic wastes that require management and a high population need for local and fresh vegetables. Linking the different sources of organic materials generated in these cities with the needs of local food producers for fertilizers prepared from recycled organic materials is challenging. This requires that producers obtain the results they expect from the organic materials they recycle. Thus, recycling these organic materials in their raw form or after composting presents an opportunity for periurban agriculture, although the great variability in the quantity and quality of these materials raises questions about the consistency between their agronomic value and their economic value. In two large cities of Cameroon (Yaoundé and Bafoussam), different types of organic materials were sampled: unprocessed livestock waste and composts from manure or municipal solid waste. From an agronomic perspective, we calculated the fertilization value based on the nutrient (nitrogen, phosphorus, and potassium) content of the organic materials. From an economic perspective, we calculated the value based on the nutrient content of the organic materials and their substitution unit prices and recorded the current market price. This is the first time that this combined approach has been used in sub-Saharan Africa. Our results showed considerable variability and discrepancy in both the agronomic and the economic values. The market prices overvalued the urban composts by a factor of 6, while chicken feces were undervalued by a factor of 3. The unprocessed organic materials were the most interesting from an economic and agronomic perspective. Our findings suggest that (i) the composting process needs to be improved and (ii) the humus potential should be calculated to better assess the amendment value of organic materials and as a basis for adjusting their market price.