nils-herrmann/clean_scirepeval huggingface dataset:
Does Artificial Neural Network Support Connectivism's Assumptions?
Year: 2017

Connectivism was presented as a learning theory for the digital age and connectivists claim that recent developments in Artificial Intelligence (AI) and, more specifically, Artificial Neural Network (ANN) support their assumptions of knowledge connectivity. Yet, very little has been done to investigate this brave allegation. Does the advancement in artificial neural network studies support connectivism's assumptions? And if yes, to what extent? This paper addresses the aforementioned question by tackling the core concepts of ANN and matching them with connectivist's assumptions. The study employed the qualitative content analysis approach where the researcher started with purposely selected and relatively small content samples in connectivism and ANN literature. The results revealed that ANN partially supports connectivism's assumptions but this does not mean that other learning theories such as behaviorism and constructivism are not supported as well. The findings enlighten our understanding of connectivism and where it may be applied.
Quantitative Effects of the Shale Oil Revolution
Year: 2015

The aim of this paper is to analyze the impact of the so called "shale oil revolution" on oil prices and economic growth. We employ a general equilibrium model of the world oil market in which Saudi Arabia is the dominant firm, with the rest of the producers as a competitive fringe. Our results suggest that most of the expected increase in US oil supply due to the shale oil revolution has already been incorporated into prices and that it will produce an additional increase of 0.2% in the GDP of oil importers in the period 2010 2018. We also employ the model to analyze the collapse in oil prices in the second half of 2014 and conclude that it was mainly due to positive unanticipated supply shocks.
Possible mechanism of the formation of the Jichechang ground fissure in Datong, China, based on in situ observations
Venue: Environmental Earth Sciences
Year: 2021

The Datong region of China suffers from severe ground fissure (GF) disasters. The Jichechang ground fissure (JGF) is typical among the GFs in Datong and is the most active. To provide scientific guidance for disaster mitigation, understanding the mechanisms governing GF activity in Datong needs to be improved. Here, long term monitoring data 10 years) for the JGF are used to study the characteristics of its activity. The results show that the formation of GFs is mainly controlled by concealed faults. The JGF is mainly active in the vertical direction, with a differential vertical displacement 2.5 times greater than the horizontal displacement. The GF activity is periodic, with a periodicity of 320 420 days, which corresponds to the cycle of local agricultural irrigation. The JGF is especially active in June and July. The vertical activity of this fissure also displays a distinct quasi periodic step like displacement acceleration with a duration of 18 38 days. Numerical simulations show that irrigation pumping within 10 km of the JGF has a significant effect on the vertical movement of GFs. These results provide a better understanding of the mechanisms governing GF activity in this area and provide a valuable reference for the study of GFs in other regions.
Three dimensional polylactic acid@graphene oxide/chitosan sponge bionic filter: Highly efficient adsorption of crystal violet dye.
Venue: International journal of biological macromolecules
Year: 2018

Owing to low bearing capacity and efficiency, traditional filters or adsorbents for removal of contaminants like crystal violet (CV) dye required frequent replacement. Besides, the combination of three dimensional (3D) printing and bionics could break the constraints of traditional configuration. In this study, a novel depth type hybrid polylactic acid (PLA)@graphene oxide (GO)/chitosan (CS) sponge filter with bionic fish mouth structure was prepared and fabricated, assisted by 3D printing and double freeze drying technology, according to the theories of vertical cross step filtration and swirling flow. And GO/CS sponge and its filtering device were characterized by FITR, SEM, water adsorption and so on. Moreover, it was explained that the impact factors on dye removal mechanism, like GO content (or CS content) contact time, pH, temperature and bionic configuration. As a result, the bionic 3D filtering device demonstrated excellent removal efficiency (97.8+ 0.5% for CV) and GO/CS sponge exhibited higher strength (74.5+ 3.5MPa) at the condition of GO content of 9wt% contact time of 46min, pH of 8 and 35degC, respectively. Therefore, the resulting 3D PLA@GO/CS sponge bionic filter via gravity and vortex driving provided new alternatives for effectively dye water separation, and it showed great promise for application of biological macromolecules in adsorption.
"TUKETIM TOPLUMU" KAVRAMININ POZITIVIST, ELESTIREL, YORUMSAMACI YAKLASIMLARLA IRDELENMESI
Year: 2020

In this study, positivist, critical and interpretive approaches were taken into consideration with the concept of consumer society. Among these approaches, the positivist approaches discussed according to emergence of whatever problems occurred in the 20th and 21st century were examined. The reality of capitalism by analyzing the social phenomenon with a positive mind has been clarified that it has applied false and incomplete diagnosis and treatments. It was clarified that the social structure cannot be understood with experimental method and man is not a subject. It is emphasized that when the system is tried to be resolved with a positive approach or observation sauce, social diseases will arise. It is understood that the materialist approach, which played an important role in the analysis of social determinations in the 18th and 19th centuries, ignored human actions that the eye and mind cannot see. For this reason, the interpreters and the emphasis on the diverse methodology in the analysis are considered as a healthy method in understanding the social life. By trying to understand the human behavior by empirical methods, by raising the mind, an image may arise in which diagnosis and treatments are applied incompletely and incorrectly. Therefore, it is important to understand sociological actions that are not visible. Otherwise, the society is the victim of the positivist theory, consumption frenzy, sexual pleasure, anomie, etc. may face an image with symptoms. As a result, capitalism, which possesses only a materialistic, positivist approach, must also proceed under the guidance of interpretive and critical approaches. Since the values exist in human life in the context of ideology has been revealed, human beings are not just a creature that can be driven by feeding their eyes and bodies. Thus, it is seen that ideologies that lead within the framework of values that care both the guidance of the mind and the culture of the society are guiding in the social structure.
Measuring Time Varying Information Flow in Scalp EEG Signals: Orthogonalized Partial Directed Coherence
Venue: IEEE Transactions on Biomedical Engineering
Year: 2014

This study aimed to develop a time frequency method for measuring directional interactions over time and frequency from scalp recorded electroencephalographic (EEG) signals in a way that is less affected by volume conduction and amplitude scaling. We modified the time varying generalized partial directed coherence (tv gPDC) method, by orthogonalization of the strictly causal multivariate autoregressive model coefficients, to minimize the effect of mutual sources. The novel measure, generalized orthogonalized PDC (gOPDC) was tested first using two simulated models with feature dimensions relevant to EEG activities. We then used the method for assessing event related directional information flow from flash evoked responses in neonatal EEG. For testing statistical significance of the findings, we followed a thresholding procedure driven by baseline periods in the same EEG activity. The results suggest that the gOPDC method 1) is able to remove common components akin to volume conduction effect in the scalp EEG, 2) handles the potential challenge with different amplitude scaling within multichannel signals, and 3) can detect directed information flow within a subsecond time scale in nonstationary multichannel EEG datasets. This method holds promise for estimating directed interactions between scalp EEG channels that are commonly affected by the confounding impact of mutual cortical sources.
Deep recommender engine based on efficient product embeddings neural pipeline
Venue: 2018 17th RoEduNet Conference: Networking in Education and Research (RoEduNet)
Year: 2018

Predictive analytics systems are currently one of the most important areas of research and development within the Artificial Intelligence domain and particularly in Machine Learning. One of the "holy grails" of predictive analytics is the research and development of the "perfect" recommendation system. In our paper we propose an advanced pipeline model for the multi task objective of determining product complementarity, similarity and sales prediction using deep neural models applied to big data sequential transaction systems. Our highly parallelized hybrid pipeline consists of both unsupervised and supervised models, used for the objectives of generating semantic product embeddings and predicting sales, respectively. Our experimentation andbenchmarking havebeen done using very large pharma industry retailer Big Data stream.
Contraception and Development: A Unified Growth Theory
Year: 2017

This study investigates the interaction of the use of modern contraceptives, fertility, education, and long run growth. It develops an economic model that takes into account that sexual intercourse is utility enhancing and that birth control by modern contraceptives is more efficient and more costly than traditional methods. The study shows how a traditional economy, in which modern contraceptives are not used and fertility is high, gradually converges towards a high growth regime, in which couples use modern contraceptives. Innovations in contraceptive technology at later points in time speed up the fertility transition and the convergence to steady growth. Utility enhancing sexual intercourse provides a "natural" explanation for why net fertility decreases with income. Lower prices or higher efficacy of contraceptives are conducive to an earlier onset of the fertility transition and a quicker convergence but do not effect economic performance (nor sexual intercourse) at the steady state.
The Compensatory Consumer Behavior Model: How Self Discrepancies Drive Consumer Behavior
Year: 2016

Consumer goods and services have psychological value that can equal or exceed their functional value. A burgeoning literature demonstrates that one source of value emerges from the capacity for products to serve as a psychological salve that reduces various forms of distress across numerous domains. This review systematically organizes and integrates the literature on the use of consumer behavior as a means to regulate self discrepancies, or the incongruities between how one currently perceives oneself and how one desires to view oneself (Higgins, 1987) We introduce a Compensatory Consumer Behavior Model to explain the psychological consequences of self discrepancies on consumer behavior. This model delineates five distinct strategies by which consumers cope with self discrepancies: direct resolution, symbolic self completion, dissociation, escapism, and fluid compensation. Finally, the authors raise critical research questions to guide future research endeavors. Overall, the present review provides both a primer on compensatory consumer behavior and sets an agenda for future research.
Strategi Pembelajaran Pemecahan Masalah Di Sekolah Dasar
Year: 2018

Pemecahan masalah merupakan suatu kemampuan berpikir tingkat tinggi yang dapat dikembangkan melalui pembelajaran matematika di sekolah dasar. Kemampuan pemecahan masalah sangat penting dikuasai oleh siswa sekolah dasar tidak hanya dalam kemampuan pemecahan masalah matematika, tetapi agar siswa mampu memecahkan masalah dalam bidang lain melalui cara berpikir matematis. Guru perlu memperhatikan berbagai aspek pembelajaran perencanaan, proses pembelajaran, penilaian, pemilihan media atau alat peraga dalam pembelajaran pemecahan masalah sehingga siswa memiki kemampuan memecahkan masalah yang baik.
Verified iptables firewall analysis
Venue: 2016 IFIP Networking Conference (IFIP Networking) and Workshops
Year: 2016

We present a fully verified firewall ruleset analysis framework. Ultimately, it computes minimal service matrices, i.e. graphs which partition the complete IPv4 address space and visualize the allowed accesses between partitions for a fixed service. Internally, we are working with a simplified firewall model and a core contribution is the translation of complex real world iptables firewall rules into this model. The presented algorithms and translation are formally proven correct with the Isabelle theorem prover. A real world evaluation demonstrates the applicability of our tool. Both the iptables save datasets and the Isabelle formalization are publicly available.
Adaptive firefly algorithm with alternative search
Venue: 2016 IEEE Congress on Evolutionary Computation (CEC)
Year: 2016

Firefly algorithm (FA) is a population based stochastic algorithm, which is inspired by the behavior of the flashing of fireflies. Though some recent studies show that FA is effective on many optimization problems, its performance is greatly influenced by its control parameters. In this paper, a new FA called adaptive FA with alternative search (AFAas) is proposed to improve the performance of FA. The main contribution of this paper consists of two aspects: 1) an adaptive strategy is used to dynamically adjust the control parameters; and 2) an alternative search strategy is employed to enhance the global and local search abilities. Experiments are conducted on a set of well known benchmark functions. Computational results show that our approach AFAas achieves better solutions than the standard FA and some recently published FA variants.
1 Determinants of Airport Efficiency A Case Study of A Tourism Receiving Country
Year: 2019

This study aims to examine the causal relationship between airport operation (including their capability and efficiency) and regional tourism development in New Zealand for the period of 2010 2016. We first estimate the efficiency of New Zealand's airports using window SlacksBased Measures Data Envelopment Analysis (window SBM DEA) and then examine its relationship to local tourism (proxied by the number of guest arrivals) and airlines capacity (proxied by the total available seat kilometres) using a two step Tobit regression (2STR) approach. The impacts of factors such as regional characteristics (e.g. GDP, centre status) and external events (e.g. the Global Financial Crisis 2008, the Christchurch earthquake 2011) are also considered. We find that local tourism development can boost up airport efficiency, while the positive impact of airline development on airport performance is not statistically clear. The examination of external factors such as regional GDP or earthquake further suggests that the councils and decision makers can influence regional airports via the development of their regions.
L'INCLUSIONE DELLE PERSONE SORDE: SCUOLA, SOCIETA, SOCIAL MEDIA INCLUSION OF DEAF PEOPLE: SCHOOL, SOCIETY, SOCIAL MEDIA
Year: 2019

La sordita, parziale o totale, e una situazione patologica che compromette seriamente la vita di relazione e rischia di escludere da qualsiasi rete sociale gli individui che ne sono affetti. Uno dei pionieri dell'elaborazione di un sistema educativo innovativo e strutturato rivolto alle persone non udenti fu il sacerdote Filippo Smaldone che, nel 1885, fondo a Lecce, una citta all'estremo meridione d'Italia, una scuola gestita da una congregazione di suore, rivolte ai ragazzi con questa disabilita. Nonostante siano stati fatti molti passi avanti in questo settore, resta ancora molto da fare per praticare una vera e propria inclusione scolastica e sociale delle persone sorde. Un'adeguata formazione del personale della scuola e l'uso dei social media come mediatore didattico e sociale possono costituire un valido aiuto in questo percorso. Deafness, partial or total, is a pathological situation which seriously compromises relationships and those affected risk exclusion from every social network. One of the pioneers in developing an innovative and structured educational system for non hearing people was the priest Filippo Smaldone. In 1885, in Lecce, a city in the far south of Italy, he founded a school run by a congregation of nuns, for young people with this disability. Even though much progress has been made in this sector, there is still much to be done if we are to achieve true and complete educational and social inclusion of deaf people. Appropriate training of school staff and the use of social media as an educational and social middleman can be instrumental in this.
The challenges and opportunities of online learning during Covid 19 pandemic
Year: 2021

challenges; Covid 19; digital migration methods; online learning; opportunities As the Covid 19 pandemic continues to spread over a year after the original outbreak, it is critical to have an open mind about the innovations Higher Education Institutions (HEIs) have implemented to keep teaching going, as they may help HEIs if appropriately implemented. The pandemic has caused many activities, including traditional educational activities, to be shut down. This has necessitated a vast wave of response migration for HEIs with Online Learning (OL) as the educational platform. This paper conducts desk research to review the challenges and opportunities of OL during Covid 19 pandemic. It was apparent that OL is different from emergency remote teaching, and as a result, OL is more justifiable. The unique aspects of the crisis response migration strategies of HEIs, teachers, and learners were discussed. Our findings offer insights for HEIs and especially educational managers, teachers, and learners to be aware of such challenges and opportunities to deal with them.
Postprandial Hyperglycemia Lowering Effect of the Isolated Compounds from Olive Mill Wastes An Inhibitory Activity and Kinetics Studies on a Glucosidase and a Amylase Enzymes
Venue: ACS omega
Year: 2020

In the present study, we isolated seven compounds from olive mill wastes (OMW) one of them being novel, and investigated their antidiabetic potential through inhibition of a glucosidase and a amylase enzymes. To assist the possible characterization of the mechanisms involved, we analyzed the inhibitory kinetics of the active compounds. Oleanolic acid 1, maslinic acid 2, 1 acetoxypinoresinol 3, and luteolin 7 O b d glucoside 6 exhibited stronger inhibitory activity against both enzymes, with IC50 values less than or close to that of acarbose. Other compounds pinoresinol and hydroxytyrosol containing compounds (hydroxytyrosol acetate 4, hydroxytyrosol 7, and the novel one, 3,4 dihydroxyphenyl 2 methoxyethanol 5) showed weak activity against both enzymes (IC50 500 mM) Our findings show that, first, the esterification of C 1 of the furofuran ring is the key feature for the stronger activity of 1 acetoxypinoresinol 3 against both enzymes (IC50 13.9 and 313 mM for a amylase and a glucosidase, respectively) as compared to pinoresinol; second, the oleanane skeletons of the triterpenes (1 and 2) are optimum for the a glucosidase and a amylase inhibitory activities, while the hydroxytyrosol moiety may be responsible for the weak activities of 4, 5, and 7. Additionally, kinetics analysis of 1, 6, and 3 revealed that they inhibit a glucosidase in mixed type, noncompetitive, and uncompetitive mechanisms, respectively. We confirmed their mechanisms by measuring their affinity for the enzyme (Ki) and they all (1, 6, and 3) had a higher affinity for the enzyme, Ki 1. This work adds more value to OMW for further studies as a potential source of lead antidiabetic compounds for the prevention and/or treatment of type 2 diabetes.
Effectiveness of Receivables Management in Increasing Sales Profit on Credit
Year: 2020

This study aims to find out how the results of the analysis of the effectiveness of accounts receivable management in increasing profits through the implementation of policies on the sale of bags on credit at the Vion City Store Probolinggo, productive/profitable or ineffective/unprofitable. This type of research is descriptive research with quantitative methods primary data sources in the form of interviews and secondary data that is financial statements. Data collection techniques used are observation and data documentation in Vion City Store Probolinggo. The percentage of profit from 2019 until 2019 always decreases to 27.79% in 2019 this is because the average receivables from 2019 to 2019 always increase. Hence, it affects the operating costs (investment) which has grown from the year 2019 until 2019.
Punching Resistance of Flat Slabs with Openings Experimental Investigation
Year: 2018

Flat slabs are commonly used structures in contemporary architecture. Although their common use there is still problem in design of these structures. The openings adjacent to a column are often used for plumbing and such a position of the openings increases shear stresses in the flat slab near the column. This paper deals with experimental work focused on the punching shear resistance of the flat slab specimens with openings adjacent to column compared to the flat slab specimens without openings. The opening influence is determined experimentally and by using models for the assessment of punching resistance from relevant standards and codes. The material properties of concrete and reinforcing steel were obtained from the laboratory tests.
Estimation of Hemodynamic States Based on Stacked Recurrent Neural Network in fMRI Time Series
Year: 2020

The estimation of underlying hemodynamic states from the fMRI data can provide an objective representation of the brain activity at the neuronal level, which can contribute to the understanding of the brain operation mechanism and the development of the brain cognition research. So far, many methods have been proposed for estimating hemodynamic states from the fMRI data. However, most of these methods are limited to the further consideration of the temporal characteristic in the hemodynamic model. In addition, they require the prior knowledge on hemodynamic model parameter values, which are not measurable in the actual situation. Therefore, this paper presents a new approach based on recurrent neural network (RNN) to carry out the estimation of hemodynamic states, which employs RNN to extract the temporal features inherent in fMRI time series. Firstly, the inversion process has been constructed by the inversions of nonlinear functions in the hemodynamic model, which map the BOLD signal to hemodynamic states. Then, a novel neural network architecture called stacked recurrent neural network (SRNN) is used for estimating hemodynamic states with BOLD signals by approximating the mapping relations. Finally, the experimental results on the simulated data have shown that the new approach can not only capture the temporal characteristic in the fMRI data, but also can model the nonlinear relationship between hemodynamic states dynamically.