nils-herrmann/clean_scirepeval huggingface dataset:
RETRACTED ARTICLE: Function finding for indirect determination of rock brittleness based on genetic programming and non linear multiple regression models
Venue: Engineering with Computers

Brittleness of the rock is one of the most critical features for design of underground excavation project. Therefore, proper estimating of rock brittleness can be very useful for designers and evaluators of geotechnical applications. In this study, feasibility of genetic programming (GP) model in predicting brittleness of the rock samples is examined. In this regard, several laboratory tests including uniaxial compressive strength, Brazilian, density and punch penetration were conducted on 48 rock samples collected from various locations of India. Considering multiple inputs, several GP models were constructed to estimate brittleness index (BI) of the rock and finally, the best GP model was selected. Note that, GP can make an equation for predicting output of the system using model inputs. To show applicability of the developed GP model, non linear multiple regression (NLMR) was also applied and developed. Considering some model performance indices, performance prediction of the GP and NLMR models were evaluated and it was found that the GP model is superior to NLMR one. Based on coefficient of determination (R2) of testing datasets, by proposing GP model, it can be improved from 0.882 (which was obtained by NLMR model) to 0.904. It is worth mentioning that the proposed predictive models in this study should be planned and used for the same conditions and the established inputs ranges.
MPSO Based Model of Train Operation Adjustment

Scheduling trains in a railway network is a fundamental operational problem in the railway industry. This paper sets up multi objective optimal model of train operation adjustment, whose optimization objective is to reduce the train delay time and the number of train delays. Since the model is established as an NP complete problem, a multi objective particle swarm optimization algorithm (MPSO) is proposed to solve the complex problem. Considering the strategy of dispatcher's preference, MPSO can get a set of Pareto solutions in the actual train operation adjustment problems. The actual experiment, taking Beijing Shanghai high speed railway as example, is conducted to validate the feasibility of the algorithm compared with the basic particle swarm optimization algorithm (PSO) Results demonstrate that the model can capture the characteristics of the practical dispatching problem. MPSO is efficient for train operation adjustment and provides better solutions than the traditional approaches.
The Co movement Between Chinese Oil Market and Other Main International Oil Markets: A DCC MGARCH Approach

In this paper, the dynamic relationship between Chinese oil market and the main international oil market is investigated. The analysis is based on weekly price series and DCC MGARCH approach is used to model the volatility and the co movement relationship among Daqing (China) West Texas, Brent, and Dubai crude oil markets during a period from 1997 to 2011. Empirical results indicate that Daqing crude oil market has a significant high dynamic correlation with Dubai crude oil market, while the dynamic correlation with European and American markets is low. In particular, the co movement of Daqing crude oil market with international crude oil market has been strengthened since the Tenth "Five year plan" in China. Moreover, all of the three main international oil markets are the granger cause of the Chinese oil market.
The Dynamic Relationship between Onshore and Offshore Market Exchange Rate in the Process of RMB Internationalization An Empirical Analysis Based on VAR DCC MGARCH BEKK Model

Using a VAR DCC MGARCH BEKK model, this paper empirically tests the dynamic relationship between onshore and offshore market exchange rate. The results show that: Firstly, the guiding effect of offshore RMB forward exchange market on onshore RMB spot and forward exchange rate market is obvious, but not vice versa; there exists a bi directional mean spillover effect between onshore RMB spot and forward exchange rate market and offshore RMB spot exchange rate market respectively. Secondly, in addition the onshore RMB spot exchange rate market volatility spillover effect is greater than the offshore RMB spot exchange rate market, other offshore market exchange rate volatility effects are greater than the other way round. Thirdly, with the process of internationalization of RMB, the dynamic relations between onshore and offshore market become more and more obvious.
The Effects of Changes in State Tax Enforcement on Corporate Income Tax Collections

Using a new hand collected database on state department of revenue (DOR) expenditures, this study examines the association between changes in state corporate tax enforcement expenditures and state level tax collections during the 2000 2008 time period. The results, after addressing endogeneity concerns using a changes specification and state fixed effects, suggest a $1 increase (decrease) in current period corporate enforcement is associated with an $8 to $11 increase (decrease) in state tax collections two years into the future. The association appears to be attenuated in states with restrictive tax policies (i.e. unitary/combined reporting and related party add back provisions) suggesting that enforcement and restrictive tax policies could serve as substitutes.  Enforcement data were hand collected from state revenue department annual reports and by contacting state corporate income tax personnel. All annual reports are publicly available.
AAC Modeling Intervention Research Review

A systematic review of research on the effects of interventions that include communication partner modeling of aided augmentative and alternative communication (AAC) on the language acquisition of individuals with complex communication needs was conducted. Included studies incorporated AAC modeling as a primary component of the intervention, defined as the communication partners (a) modeling aided AAC as they speak and (b) participating in the context of a naturalistic communication interaction. This review used a best evidence approach, including nine single case studies, with 31 participants, and 70 replications, and one quasi experimental randomized group design study, including 63 participants. The results of the review indicated that AAC modeling intervention packages led to meaningful linguistic gains across four areas including (a) pragmatics, marked by increases in communication turns; (b) semantics, marked by receptive and expressive vocabulary increases; (c) syntax, marked by multi symbol turn increases; and (d) morphology, marked by increases in target morphology structures.
Example based super resolution via social images
Venue: Neurocomputing

A novel image patch based example based super resolution algorithm is proposed for benefitting from social image data. The proposed algorithm is designed based on matrix value operator learning techniques where the image patches are understood as the matrices and the single image super resolution is treated as a problem of learning a matrix value operator. Taking advantage of the matrix trick, the proposed algorithm is so fast that it could be trained on social image data. To our knowledge, the proposed algorithm is the fastest single image super resolution algorithm when both training and test time are considered. Experimental results have shown the efficiency and the competitive performance of the proposed algorithm to most of state of the art single image super resolution algorithms.
Efficient multiple example based super resolution for symmetric mixed resolution stereoscopic video coding
Venue: J. Vis. Commun. Image Represent.

The proposed SMRSVC model can provide clear bitrate reduction and visual merits.Based on the SMRSVC model, we propose a new super resolution (SR) method.zThe new SR method for the SMRSVC model has superior quality and bitrate performance.z In this paper, we first propose a new symmetric mixed resolution stereoscopic video coding (SMRSVC) model which can provide clear bitrate reduction and visual merits. Based on the newly proposed SMRSVC model, we then propose a quality efficient multiple example based super resolution method. In the proposed super resolution method, the four block examples selected from the forward and backward key frames, the reference super resolved frame, and the interview super resolved frame are referred so as to effectively fuse the high frequency component of the super resolved current block of the downsampled non key frame, and then an enhanced super resolved non key frame is followed. Based on six test stereoscopic video sequences, the experimental results demonstrate that besides the bitrate saving effect, the proposed super resolution method for the proposed SMRSVC model also has better quality performance in terms of six well known quality metrics when compared with several state of the art methods for the previous asymmetric resolution stereoscopic video coding model and the SMRSVC model.
Centipede venoms as a source of drug leads
Venue: Expert opinion on drug discovery

Centipedes are one of the oldest and most successful lineages of venomous terrestrial predators. Despite their use for centuries in traditional medicine, centipede venoms remain poorly studied. However, recent work indicates that centipede venoms are highly complex chemical arsenals that are rich in disulfide constrained peptides that have novel pharmacology and three dimensional structure.  This review summarizes what is currently known about centipede venom proteins, with a focus on disulfide rich peptides that have novel or unexpected pharmacology that might be useful from a therapeutic perspective. The authors also highlight the remarkable diversity of constrained three dimensional peptide scaffolds present in these venoms that might be useful for bioengineering of drug leads.  Like most arthropod predators, centipede venoms are rich in peptides that target neuronal ion channels and receptors, but it is also becoming increasingly apparent that many of these peptides have novel or unexpected pharmacological properties with potential applications in drug discovery and development.
Transition from inflammation to proliferation: a critical step during wound healing
Venue: Cellular and Molecular Life Sciences

The ability to rapidly restore the integrity of a broken skin barrier is critical and is the ultimate goal of therapies for hard to heal ulcers. Unfortunately effective treatments to enhance healing and reduce scarring are still lacking. A deeper understanding of the physiology of normal repair and of the pathology of delayed healing is a prerequisite for the development of more effective therapeutic interventions. Transition from the inflammatory to the proliferative phase is a key step during healing and accumulating evidence associates a compromised transition with wound healing disorders. Thus, targeting factors that impact this phase transition may offer a rationale for therapeutic development. This review summarizes mechanisms regulating the inflammation proliferation transition at cellular and molecular levels. We propose that identification of such mechanisms will reveal promising targets for development of more effective therapies.
Toward lower cost cellulosic biofuel production using ammonia based pretreatment technologies

In response to growing concerns about energy security, environmental sustainability and societal sustainability, cellulosic biomass refining technologies have been extensively developed in recent years. However, these technologies are not yet fully commercialized. High capital cost and high enzyme cost are two major bottlenecks. Capital cost and operating cost (excluding 33% feedstock cost) account for 34% and 33% respectively, of the total biofuel production cost with enzyme cost alone representing about 47% of the operating cost. Therefore, reducing both capital cost and enzyme cost is imperative. Over the past eight years, with the support from US Department of Energy Great Lakes Bioenergy Research Center (GLBRC) we greatly improved our AFEX(tm) (Trade mark of MBI, International (Lansing, Michigan) (Ammonia Fiber Expansion) related processing technologies, leading to a 66% reduction in enzyme loading (current enzyme loading is as low as 7.5 mg protein per g glucan) and a 129% enhancement in ethanol volumetric productivity >56% reduction in capital cost for enzymatic hydrolysis and fermentation)
On the efficiency, exergy costs and CO2 emission cost allocation for an integrated syngas and ammonia production plant

This paper presents an exergy and environmental assessment of a 1000 metric t/day ammonia production plant based on the steam methane reforming (SMR) process, including the syngas production, purification (CO2 capture) and compression units, as well as the ammonia synthesis and purge gas treatment. An integrated heat recovery system produces power and steam at three pressure levels, besides exporting hot water, CO2 and fuel gas, with no additional heat or power consumption being required. Two configurations for ammonia refrigeration process 20 degC) are compared in terms of power consumption. Exergy cost data for upstream processing stages of natural gas is used to calculate the extended exergy cost of the products of the plant, namely ammonia, CO2 and fuel gas. Moreover, an appropriated methodology is employed to properly allocate the renewable and non renewable exergy costs, as well as the CO2 emissions of the reforming, shift and furnace stack among the products of the plant. By considering that the cost reduction of the combustion gases is a linear function of the exergy flow rate reduction in each component of the heat recovery system, an improved allocation of the CO2 emission cost along the convection train is performed. A breakdown of the total exergy destruction rate of the plant (136.5 MW) shows that about 59% corresponds to the reforming process followed far behind by the ammonia synthesis and condensation (18.3% and the gas purification units (13.2% The overall exergy efficiency of the ammonia plant is calculated as 66.36% which is enhanced by recovering the hydrogen rich and fuel gases in the purge gas treatment process. The total and non renewable exergy costs and CO2 emission cost of the ammonia produced are calculated as 1.7950 kJ/kJ and 0.0881 kgCO2/MJ, respectively. In addition, a rational exergy cost of 1.6370 kJ/kJ and CO2 emission cost of 0.0821 kgCO2/MJ are allocated to the CO2 gas, which can be supplied as feedstock to an associated chemical plant (urea, methanol, polymers, etc.
Changes to the chemical state of the Northern Hemisphere atmosphere during the second half of the twentieth century

The NOx (NO and NO2) and HOx (OH and HO2) budgets of the atmosphere exert a major influence on atmospheric composition, controlling removal of primary pollutants and formation of a wide range of secondary products, including ozone, that can influence human health and climate. However, there remain large uncertainties in the changes to these budgets over recent decades. Due to their short atmospheric lifetimes, NOx and HOx are highly variable in space and time, and so the measurements of these species are of limited value for examining long term, large scale changes to their budgets. Here, we take an alternative approach by examining long term atmospheric trends of alkyl nitrates, the production efficiency of which is dependent on the atmospheric [NO] [HO2] ratio. We derive long term trends in the alkyl nitrates from measurements in firn air from the NEEM site, Greenland. Their mixing ratios increased by a factor of 3 5 between the 1970s and 1990s. This was followed by a steep decline to the sampling date of 2008. Moreover, we examine how the trends in the alkyl nitrates compare to similarly derived trends in their parent alkanes (i.e. the alkanes which, when oxidised in the presence of NOx, lead to the formation of the alkyl nitrates) The ratios of the alkyl nitrates to their parent alkanes increased from around 1970 to the late 1990s. This is consistent with large changes to the [NO] [HO2] ratio in the Northern Hemisphere atmosphere during this period. Alternatively, they could represent changes to concentrations of the hydroxyl radical, OH, or to the transport time of the air masses from source regions to the Arctic.
Vessel co option mediates resistance to anti angiogenic therapy in liver metastases
Venue: Nature Medicine

The efficacy of angiogenesis inhibitors in cancer is limited by resistance mechanisms that are poorly understood. Notably, instead of through the induction of angiogenesis, tumor vascularization can occur through the nonangiogenic mechanism of vessel co option. Here we show that vessel co option is associated with a poor response to the anti angiogenic agent bevacizumab in patients with colorectal cancer liver metastases. Moreover, we find that vessel co option is also prevalent in human breast cancer liver metastases, a setting in which results with anti angiogenic therapy have been disappointing. In preclinical mechanistic studies, we found that cancer cell motility mediated by the actin related protein 2/3 complex (Arp2/3) is required for vessel co option in liver metastases in vivo and that, in this setting, combined inhibition of angiogenesis and vessel co option is more effective than the inhibition of angiogenesis alone. Vessel co option is therefore a clinically relevant mechanism of resistance to anti angiogenic therapy and combined inhibition of angiogenesis and vessel co option might be a warranted therapeutic strategy.
Never, Ever Getting Started: On Prospect Theory Without Commitment

We characterize the investment or gambling behavior of a prospect theory decision maker who is aware of his time inconsistency but lacks commitment. Such a "sophisticate' takes fewer risks than an expected utility maximizer with the same utility function (but no probability weighting) For most prospect theory specifications, a sophisticate never gambles or invests in the stock market, even if expected gains are arbitrarily high. This result is the antithesis to Ebert Strack (2015) who show that decision makers who are naive about their time inconsistency never stop gambling.
Exploring The effects Of An online asynchronous mindfulness meditation intervention with nursing students On Stress, mood, And Cognition: A descriptive study.
Venue: Nurse education today

Nurses returning to school while working, raising families, and maintaining other roles, can experience stress, mood changes and cognition disturbance that negatively impact their academic success.  To explore the effect of an online mindfulness meditation intervention with distance nursing students on stress, mood and cognition.  A 24 week descriptive study.  An 8 week online intervention was offered to all undergraduate and graduate nursing students, of three nursing programs of a middle sized university in mid Atlantic US.  A total of 26 nursing students completed the study.  An 8 week online, asynchronous mindfulness intervention was provided through the learning management system with a 16 week follow up.  Perceived Stress Scale (PSS) Hospital Anxiety and Depression Scale (HADS) and Attention Network Test (ANT) RESULTS Stress was significantly reduced ( A decreasing trend for anxiety was noted with significant difference between time points  ability to shift attention, attention selection, concentration, and accuracy improved.  Findings from this study may illuminate the usefulness of a mindfulness based stress reduction program offered to distance nursing students. Further studies are needed to better demonstrate the effectiveness of the intervention.
Novel thermal lens for remote heating/cooling designed with transformation optics.
Venue: Optics express

Remote thermal focusing/refrigeration by suppressing thermal diffusion can be achieved with the help of the novel thermal lens proposed in this paper. Our thermal lens is designed using transformation optics, and has several advantages. Firstly, it is a remote controlling device, i.e. the temperature is increased or decreased only in the heat/cold source and the target points, and the temperature in the area between the source and target points is not influenced. Secondly, the heat/cold sources can move freely inside the lens, and hence the focused points outside the lens can be adjusted dynamically. Numerical simulations are given to verify the novel properties (such as thermal focusing effect, remote refrigeration and remote thermal diffusion suppressing) of the proposed device, which cannot be achieved by any other traditional method.
Obstetric knowledge of nurse educators in Nigeria: Levels, regional differentials and their implications for maternal health delivery

To assess the knowledge of nurse midwife educators on the major causes of maternal mortality in Nigeria.  Schools of nursing and midwifery in Nigeria.  A total of 292 educators from 171 schools of nursing and midwifery in Nigeria were surveyed for their knowledge of the major causes of maternal mortality as a prelude to the design and implementation of a train the trainer intervention geared towards improved maternal health care delivery.  There was paucity of knowledge across all major causes. Only 57.2% and 62.7% of educators could diagnose pre eclampsia and severe pre eclampsia, respectively. While 86% knew about magnesium sulphate (MgSO4) as the 'gold standard' for treating eclampsia, only 16.8% knew of calcium gluconate as an antidote to MgSO4 toxicity. Of the educators, 63.7% could not describe the components of active management of third stage of labour, while 29.5% were not aware of uterine atony as a cause of postpartum haemorrhage. Furthermore, 65.4% believed that misoprostol is the preferred oxytocic for hospital delivery. Other potentially harmful knowledge gaps were also found, such as 47.3% of the participants reporting that they would perform episiotomies on all primigravidae.  Nurse/midwife educators in Nigeria are not as knowledgeable as previously thought, especially concerning the causes of maternal mortality. In order to scale up the quality of obstetric care, updated pre service curricula should be implemented fully while in service appraisal and continuing education should be introduced.
Research on audit log association rule mining based on improved Apriori algorithm
Venue: 2016 IEEE International Conference on Big Data Analysis (ICBDA)

Aimed at solving the problem of low level intelligence and low utilization of audit logs of the security audit system, a secure audit system based on association rule mining is proposed in this paper. The system is able to take full advantage of the existing audit logs, establish the behavior pattern database of users and the system with data mining technique, and discover abnormal situation in a timely manner, which improves the security of computer system. We propose an improved E Apriori algorithm which narrows the scanning range of the transactions, lowers the time complexity, and refines the operating efficiency. Experiment results on the Weka platform indicate that our proposed E Apriori algorithm clearly outperforms the traditional Apriori algorithm, especially in the large sparse datasets.