Miracle-dz/UniFAR-FTUs huggingface dataset:
A data mining approach for desire and intention to participate in virtual communities

The purpose of this study is to investigate performances of some of the data mining approaches while understanding desire and intention to participate in virtual communities and its antecedents. A research model has been developed following the literature review and the model was tested afterwards. In research part of the study, some of the data mining approaches as JRip, Part, OneR Method, Multilayer Perceptron (Neural Networks), Bayesian Networks have been used. Based on the analysis conducted it has been found out that Multilayer Neural Network had the best correct classification rate and lowest RMSE.
Statistical analysis of the long-range transport of the 2015 Calbuco volcanic eruption from ground-based and space-borne observations

Abstract. This study investigates the influence of the 2015 Calbuco eruption (41.2° S, 72.4° W; Chile) on the total columnar aerosol optical properties over the Southern Hemisphere. The well-known technic of sunphotometry was applied for investigation of the transport and the spatio-temporal evolution of the optical properties of the volcanic plume. The CIMEL sunphotometer measurements performed at 6 South American and 3 African sites were statistically analyzed. This study involves the use of the satellite observations and a back-trajectory model. The passage of the Calbuco plume is statistically detectable on the aerosol optical depth (AOD) observations obtained from sunphotometers and MODIS. This statistical detection confirms that the majority of the plume was transported over the northeastern parts of South America and reached the South African region one week following the eruption. The plume has impacted to a lesser extent the southern parts of South America. The highest AOD anomalies were observed over the northeastern parts of the South America. Over the South African sites, the AOD anomalies induced by the spread of the plume were quite homogeneously distributed between the east and west coast. The optical characteristics of the plume near source region was consistent with a bearing-ash plume. Conversely, the remote sites to the Calbuco volcano were influenced by ash-free plume. The optical properties discuss on this paper will be used as inputs for numerical models for further investigation on the ageing of the Calbuco plume in a forthcoming study.
Search and Endogenous Growth: When Romer Meets Lagos and Wright

In this note, we develop a search-based monetary growth model to analyze the growth and welfare effects of inflation. We introduce endogenous growth via capital externality into a two-sector search model and compare the effects of inflation to those from a standard cash-in-advance (CIA) growth model. We find two important differences between the two approaches. First, while the growth effect of inflation operates solely through endogenous labor supply in the CIA model, the growth effect of inflation operates through an additional consumption effect in the decentralized market in the search model. Second, we quantitatively evaluate the welfare cost of inflation and find that the search model exhibits a larger (smaller) welfare gain than the CIA model when we decrease the growth rate of money supply to achieve the Friedman rule (zero inflation). These contrasting results are due to a non-linearity in welfare as a function of inflation in the search model. JEL classification: E41, O41, O42.
MICROBE-PLANT INTERACTIONS BETWEEN STREPTOMYCES AND MODEL AGRICULTURAL PLANTS – HORDEUM VULGARE AND LYCOPERSICON ESCULENTUM (MICROTOM)

ISSN 2415-3826 (Online), ISSN 2219-3782 (Print). Фактори експериментальної еволюції організмів 2019. Том 25 137 MUTENKO H. V. 1 , OSTASH B. O. 1 , ROTHBALLER M. 2 , WEISS A. 2 , SCHMID M. 2 , HARTMANN A. 2 , FEDORENKO V. O. 1© 1 Ivan Franko National University of Lviv, Ukraine, 79005, Lviv, Hrushevskoho, 4 2 Research Unit of Microbe-Plant Interactions, Helmholtz Centre Munich – German research Center for Environmental Health, Germany, Neuherberg viktor.fedorenko@lnu.edu. ua, (032) 239-44-07, (032) 239-44-75
PHYSICO-CHEMICAL PROPERTIES AND ANTIOXIDANT ACTIVITY OF EXTRACTED ESSENTIAL OILS FROM IRRADIATED ROSEMARY LEAVES AND CLOVE BUDS

Rosemary and clove buds were irradiated with γ-irradiation at different doses (0 to 30kGy) and stored for 12months at room temperature (22±3 0 C). The evaluation of irradiation depended on the chemical studies and antioxidant activity of extracted essential oils. Results showed significant difference for the essential oils yield at different doses during storage time. Compounds were fractionated and identified for extracted essential oils from each of non – irradiated and irradiated rosemary leaves and clove buds samples, the main components of essential oil extracted from either non-irradiated or irradiated rosemary were 1,8 cineole, camphor and γ-pinene 26.36, 12.63 and 16.98%, respectively, while, eugenol was the major component in clove essential oil (which extracted from non-irradiated and irradiated samples (81.69%). No differences were noticed in the % of essential oils constituents. Antioxidant activity as % of DPPH scavenging increased with the increasing of essential oils concentrations (250 up to 2500ppm). Furthermore, the effect of adding these extracted oils from non-irradiated and irradiated samples as well as their mixture (1:1) on the threshold odor scores of sunflower oil was observed. Rancimat test shown the high oxidative stability in sunflower oil supplemented with 0.3% clove essential oil which extracted from 15kGy irradiated sample was 11.99 hrs, its relative stability was 144.11% comparing with the oxidative stability of sunflower oil supplemented with 0.5% rosemary essential oil extracted from nonirradiated sample (9.76hrs) with 117.3% relative stability.
Fostering urban transformations in Latin America: lessons around the ecological management of an urban stream in coproduction with a social movement (Buenos Aires, Argentina)

Collaborative community-based approaches are proposed as a way to overcome the difficulties exerted by a broad range of social-ecological traps that emerge at the reconfiguration of social-ecological systems onto sustainable paths. Despite this, a deep examination of the social-ecological processes and interactions that constrain these approaches in different urban contexts is still necessary to improve their success. Latin American countries have institutional, political, and social characteristics that could constrain the pathways to sustainability in different ways from countries of the Global North, particularly in their metropolitan areas. Here, we present an experience (2015–2018) held in cooperation with workers of a social cooperative framed in an urban social movement from Argentina, related to the ecological rehabilitation of a highly degraded urban stream through the management of the riparian vegetation and the reintroduction of native macrophytes. The methodology involved a codesign approach based on a set of participatory actionresearch tools, together with resilience system analysis through causal loop diagrams, and three different interventions of a 200-m reach at the upstream area of the San Francisco stream (Buenos Aires, Argentina). The participatory diagnostic showed a strong negative effect of the current management guidelines on the riparian and aquatic vegetation, reflecting a positive feedback loop that reinforces this negative state, and revealed a hierarchical governance regime associated with the management of the watershed. Furthermore, it detected a strong motivation of local workers to generate transformative actions in terms of the sanitary and social-ecological improvements of the local habitat. The management actions showed a relatively high short-term survival of the macrophyte transplants (30–60% in a period of 2–4 months), displaying a strong spatial structure of the survival units, and downscaling to about 10% in the long term (6–12 months after interventions). A combination of biophysical and social processes related both to institutional and rigidity traps affected the survival of the transplants, reflecting the inertia of the current management programs to ecological improvements of the stream. In summary, the present work highlights the social-ecological constraints arising from transformative collective actions toward the ecological management of a stream at a highly vulnerable and bureaucratic urban context, with implications for socialecological urban transformations in Latin America and the design of effective participatory governance actions in alliance with local social movements.
A+ Indexes: Highly Flexible Adjacency Lists in Graph Database Management Systems

Adjacency lists are the most fundamental storage structure in existing graph database management systems (GDBMSs) to index input graphs. Adjacency lists are universally linked-list like per-vertex structures that allow access to a set of edges that are all adjacent to a vertex. In several systems, adjacency lists can also allow efficient access to subsets of a vertex’s adjacent edges that satisfy a fixed set of predicates, such as those that have the same label, and support a fixed set of ordering criteria, such as sorting by the ID of destination vertices of the edges. This thesis describes a highly-flexible indexing subsystem for GDBMSs, which consists of two components. The primary component called A+ indexes store adjacency lists, which compared to existing adjacency lists, provide flexibility to users in three aspects: (1) in addition to per-vertex adjacency lists, users can define peredge adjacency lists; (2) users can define adjacency lists for sets of edges that satisfy a wide range of predicates; and (3) provide flexible sorting criteria. Indexes in existing GDBMS, such as adjacency list, B+ tree, or hash indexes, index as elements the vertices or edges in the input graph. The second component of our indexing sub-system is secondary B+ tree and bitmap indexes that index aggregate properties of adjacency lists in A+ indexes. Therefore, our secondary indexes effectively index adjacency lists as elements. We have implemented our indexing sub-system on top of the Graphflow GDBMS. We describe our indexes, the modifications we had to do to Graphflow’s optimizer, and our implementation. We provide extensive experiments demonstrating both the flexibility and efficiency of our indexes on a large suite of queries from several application domains.
Running head: THE RELATIONSHIP BETWEEN ORGANIZATIONAL CHANGE... TALLINN UNIVERSITY OF TECHNOLOGY School of Business and Governance Department of Business Administration

4 Introduction . 5 Organizational Change . 6 Demerger. 7 Shift in Power Dynamics . 7 Consequences of power and humanness. 8 Perceived Humanness. 8 Forms of dehumanization. 9 Diversity of dehumanization. 11 Infra-humanization. 12 Organizations Studied . 13 Propositions . 15 Method . 16 Study Design . 16 Grounded Theory . 16 Participants . 17 Data Collection . 18 Background information. 18 Quantitative research. 18 Qualitative research. 20 Data Analysis. 20 Results . 23 Research Question . 23 First Proposition . 24 Second Proposition . 26 Third Proposition . 30 New Theoretical Perspective. 33 Discussion . 35 Conclusion . 36 References. 37 THE RELATIONSHIP BETWEEN ORGANIZATIONAL CHANGE. 4
Imaging Prescription Patterns Among Dentists

To our knowledge, there are no data in the English literature to characterize the pattern of prescribing images among dentists. Therefore, we surveyed dentists to determine their habits when requesting images for their patients. Ninety-five recent graduates were surveyed before a continuing education lecture,of which 93 responded. We found that recent graduates are unclear about the indications and limitations of the different dental imaging modalities. Therefore, continuing education courses in oral radiology that discuss and compare the available imaging techniques are neededto achieve optimal patient care. ------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 03-11-2018 Date of acceptance: 17-11-2018 ------------------------------------------------------------------------------------------------------------------------------------
Music and visual arts service learning in Sydney schools: school and university partnerships to widen participation in higher education

This paper presents findings on university students’ perceptions of an undergraduate service learning unit of study designed to engage university and school students in collaborative music and drawing workshops in six primary and high schools in Sydney, Australia. It is based on a two-year project in an Australian university in 2012 and 2013 that offered first year university music and visual arts students the opportunity to partner with identified low socio economic schools (LSES) in Sydney. As each of the schools involved in this project has different types of music and visual arts programs, and different policies and uses for service learning work, ways that engaging in the partnership differs between them. To explain this, the perceptions of the university music and art students working with each of the schools are reported and are derived from survey and focus group interviews (n=35). In addition, school and university staff members’ comments (n=9) on their perceptions of the university students’ response to the workshops conducted in the schools is reported. No school students were interviewed or surveyed in this project’s investigation. The results of this mixed-method exploratory study indicate benefit to university students’ understanding of widening participation and the justification of service learning programs in university undergraduate degree programs as part of their learning.
Characterization and genetic variability of coat protein gene of Apple chlorotic leaf spot virus isolates from apple in Kurdistan and western Azarbaijan Provinces, Iran

In this study, 174 leaf samples from main apple growing areas in Kurdistan and western Azarbaijan Provinces were examined for infection by Apple chlorotic leaf spot virus (ACLSV). The result of RT-PCR showed that 17 samples (9.7%) were infected by ACLSV in both provinces. Subsequently, the genetic structure of ACLSV was determined based on the full coat protein (CP) sequences of eight isolates from this study and those recently published from Iran and worldwide. In phylogenetic analysis, ACLSV isolates from apple clustered into three known phylogenetic types; B6, P205, and SHZ, which are characterized by three amino acids at positions of 40, 75 and 79. The new Iranian ACLSV isolates showed the CP amino acid sequence of SerTyr-Glu which placed them with the B6 type. Further analyses showed that the Iranian ACLSV isolates (the new and previously published isolates) had lower genetic variability compared to isolates from other countries except for Brazilian population. Most of the CP codons were under negative selection (dN/dS < 1) except for one codon at position 92 which was under positive selection. This study suggests that negative selection was most important evolutionary factor driving the genetic evolution of ACLSV.
ANTI-DIABETIC TREATMENT AND CANCER OCCURRENCE AMONG PATIENTS WITH TYPE II DIABETES MELLITUS

OF THE DISSERTATION ANTI-DIABETIC TREATMENT AND CANCER OCCURRENCE AMONG PATIENTS WITH TYPE II DIABETES MELLITUS By HONG QIU Dissertation Director: Professor George Rhoads This is a retrospective cohort study, with nested case-control analyses, of type II diabetes patients, to evaluate the association between anti-diabetic treatment and cancer incidence. Methods: Patients who were initially stabilized on an oral hypoglycemic agent (OHA) mono-therapy, including metformin, sulfonylurea, TZD, and meglitinides, in the GPRD were included in the cohort. New diagnoses of cancer during cohort follow up were compared among exposure groups. In addition to the cohort analyses, solid tumors, as well as breast cancer and colorectal cancer, identified during the cohort follow-up were matched to controls and case-control analyses were performed within the cohort. Results: Compared to metformin, there was no difference in risk of malignant solid tumors or hematological malignancy with other major classes of OHAs in the cohort. The case-control analyses further supported the findings that these OHA classes or their combinations did not alter the risk of malignant solid tumors.
Fluctuating Neural States in Face Processing: Predicting Who They Are vs. How They Feel

In a world filled with social information, the human face provides us with important cues about the individualstheir attractiveness, gender, mood and identity are all bits of information garnered from faces in milliseconds. Face processing, the ability to extract this information and interpret it in context, has been a widely-studied area in the fields of behavioral and neuroscience research. Two dominant face processing models exist in the literature: the Bruce and Young (1986) cognitive model and the Haxby (2000, 2007) neural model which both describe a hierarchical system where different types of facial information are processed in parallel, but separately. However, an emerging idea is that processing differences in facial information may be reflected by differences in topology of distributed connections among the set of regions rather than individual nodes of the face processing network. The aim of this project was to create a paradigm in which every aspect remained constant except task demands (identity, expression), then have participants complete the paradigm in an fMRI session to examine the neural activity evoked as the face processing network switched between two different conditions. Nine adult participants were scanned, with data-driven effectivity connectivity analyses being used to derive the topology of weighted directional connections among core and extended regions of the face processing network. Network topologies were compared using graph theory metrics and pattern analytic techniques. Results showed in the group-level connectivity models of identity and expression that the organization of functional connections among the nodes in the face processing network switches between different states as it addresses different top-down goals (i.e. match identity, expression) with the same stimuli. From these findings, it was shown that complex behavior (i.e. the ability to discriminate between different facial identities and expressions) arises not from the involvement of different neural regions but, from different organizations of connections among a set of regions in the face processing neural network.
Micromechanical Modelling of Thermoelastic Behavior of AA7020/TiC Metal Matrix Composites

The present work was intended to estimate thermoelastic behavior of AA7020/titanium carbide nanoparticle metal matrix composites. TiC is used as a heat shield coating for atmospheric reentry of spacecrafts. The thermal loading was varied from subzero temperature to recrystallization temperature. The RVE models were used to analyze thermo-elastic behavior. The stiffness of AA7020/titanium carbide nanoparticle metal matrix composites increased with the increase of temperature and loading of TiC nanoparticles. The stiffness was raised steeply above 100C which is very interesting phenomena to be scientifically explored for low volume fractioned (20%) TiC composites. A higher modulus characteristically indicates that the material is harder to deform.
Efektivitas Penggunaan E-Learning Quipper School Sebagai Media Pembelajaran Berbasis Digital

Abstrak: Pada era digitalisasi saat ini, telah terjadi proses perubahan dalam berbagai aspek bidang kehidupan termasuk dalam bidang pendidikan, khususnya dalam proses pembelajaran. Salah satu contoh proses digitalisasi di dalam proses pembelajaran, yaitu diterapkannya media pembelajaran berbasis e-learning. Media pembelajaran berbasis e-learning merupakan salah satu contoh media pembelajaran yang interaktif, yang memberikan dampak signifikan terhadap pemahaman peserta didik dalam proses belajar mengajar. Terlebih dengan adanya kemajuan teknologi dan informasi membuat para pendidik harus dapat memanfaatkan media pembelajaran yang sesuai dengan perkembangan peserta didik dan mulai meninggalkan pembelajaran dengan metode konvensional. Pembelajaran dengan metode konvensional dianggap tidak relevan dengan Kurikulum 2013 yang diterapkan pemerintah saat ini, yang mana dalam Kurikulum 2013, pendidik dituntut untuk meningkatkan keaktifan dan kreativitas siswa saat proses pembelajaran berlangsung. Adanya media pembelajaran berbasis digital dapat memberikan perubahan terhadap pembelajaran, yaitu dengan menggunakan media pembelajaran quipper school yang berbasis elearning. quipper school adalah suatu layanan aplikasi e-learning gratis bagi guru dan siswa yang dapat memudahkan guru dalam memberikan tugas kepada siswa. Selain itu, siswa juga dapat menikmati pembelajaran yang interaktif secara online. Penerapan media pembelajaran quipper school memudahkan guru mengamati perkembangan peserta didik secara online. Penelitian ini menggunakan metode kajian pustaka atau studi literatur, dimana penelitian dilakukan dengan menganalisis permasalahan berdasarkan literatur yang telah ada. Berdasarkan hasil literatur yang telah dikaji, dapat disimpulkan bahwa penggunaan media pembelajaran quipper school memiliki tingkat keefektifan yang signifikan dalam pembelajaran. Maka dari itu, penggunaan media quipper school dapat digunakan serta dianjurkan dalam pembelajaran berbasis digital guna mencapai tujuan pembelajaran yang interaktif.
Stop smoking services: increased chances of quitting

This statement derives from a number of sources. The unaided quit rate (percentage succeeding in stopping for at least 12 months) in the same type of smokers as those who use the stop smoking services is typically 3 to 4%. 1 The 12-month biochemically verified quit rates found for the English stop smoking services was found in one large study to be 15%2; for specialist services it was found to be around 20%. 2 These figures are in line with what would be expected from the randomised controlled trials of behavioural support and medication.3 It has recently been found that there is considerable variation in the effectiveness of different local services 4 and individual practitioners within services. 5 This is partly attributable to differences in the content of the treatment manuals, with some specific ‘behaviour change techniques’ in those manuals being linked to higher success rates than others. 6
Adapting CMA-ES for the Massively Parallelized Simulation of Neurons and Neural Circuits

Parameter estimation for complex or/and high dimensional models is a general problem encountered in many scientific and engineering disciplines using simulations. We succeeded in estimating biophysical parameters of single neurons from current injection data using CMA-ES with restart implementation. We expanded the CMA-ES based solver into a new implementation of mp-LMCMA-ES which is adapted to highly parallelized computation. We succeeded in the estimation of several thousand parameters related to synaptic mechanisms in a neural circuit simulation consisting of a few tens of neurons.