Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrical and Optical Study of Transparent V-based Oxide Semiconductors Prepared by Magnetron Sputtering under Different Conditions

This work is focused on structural, optical and electrical behaviors of vanadium-based oxide thin films prepared by magnetron sputtering under different conditions. Thin films have been deposited on glass substrates from metallic vanadium target at low sputtering pressure. Different working gases: argon/oxygen mixture, and especially pure oxygen gas, have been applied. Results of X-ray diffraction together with optical transmission and temperature-dependent electrical resistivity measurements have been presented. Transmission coefficient, cut-off wavelength and the width of the optical band gap have been calculated from optical measurements. The d.c. resistivity values at room temperature and thermal activation energy have been obtained from electrical investigations. The influence of sputtering process conditions on optical and electrical properties has been discussed.
Reconstruction of Architectural Buildings from Incomplete Point Cloud Data

Data obtained from scanning with range scanners or obtained by Structure From Motion(SFM) from multiple images suffer incompleteness due to occlusion or lack of correspondences. This problem is significant for when large Architectural Structures scanned using LIDAR scanner or large scale reconstruction using SFM. So, the objective behind this project is to build a reconstruction mechanism that can predict missing structures from an incomplete point cloud of a building. Doing a surface reconstruction is time consuming and also will not work with missing data. So, in this project a modelling system is presented which perform a primitive approximation of the point cloud very FAST. The system model partial point clouds which using object recognition, which have very similar complete models in the repository. Chapter
Vietnamese Vowels Produced by Australian Vietnamese Speakers

This paper reported a study that acoustically examined the vowel features of Vietnamese language used by the Vietnamese community in Australia. Vowels produced by older (n=10) and younger (n=10) Vietnamese Australians residing in Brisbane, Australia, were acoustically examined and compared with those produced by corresponding older (n=10) and younger (n=10) Vietnamese residing in Ho Chi Minh/Can Tho City, Vietnam. The results showed that (i) almost all vowel tokens produced by the four groups of speakers were acoustically significantly different in vowel space; (ii) the Younger Vietnamese Australian residents’ tokens of vowels which look similar in conventional Vietnamese orthography tended to cluster with each other; (iii) the vowel productions of the Younger Vietnamese residents in Australia tended to occupy higher and/or more front regions than those of the Younger Vietnamese residents in Vietnamese group in terms of the acoustic vowel space; and (iv) the vowel tokens produced by the Older Vietnamese residents in Australia and Older Vietnamese residents in Vietnam groups occupied different regions in the acoustic vowel space.
THE FRENCH NUCLEAR PROGRAM: EDF’S EXPERIENCE

In the second half of the sixties, the number of sites available for hydroelectric power production dwindled. Within the scope of its continued efforts toward diversification, EDF decided to turn to classical thermal (fuel oil) and to nuclear power generating plants involving a variety of different reactor types: pressurized water (Chooz A, connected to the grid in 1967, in cooperation with the Belgians), heavy water (Brennilis, connected to the grid in 1967, natural uranium gas-cooled (St. Laurent 1 and 2, Chinon 2 and 3, Bugey 1, commissioned between 1969 and 1972) and fast neutron (Phenix, connected to the grid in 1973). It should be pointed out that EDF’s gas-cooled were essentially all different which lead to difficulties related to non-standardization (negative influence on costs, ease of operation, etc.).
Late summer net community production in the central Arctic Ocean using multiple approaches

Large‐scale patterns of net community production (NCP) were estimated during the late summer cruise ARK‐XXVI/3 (TransArc, August/September 2011) to the central Arctic Ocean. Several approaches were used based on the following: (i) continuous measurements of surface water oxygen to argon ratios (O2/Ar), (ii) underway measurements of surface partial pressure of carbon dioxide (pCO2), (iii) discrete samples of dissolved inorganic carbon, and (iv) dissolved inorganic nitrogen and phosphate. The NCP estimates agreed well within the uncertainties associated with each approach. The highest late summer NCP (up to 6 mol C m−2) was observed in the marginal sea ice zone region. Low values (<1 mol C m−2) were found in the sea ice‐covered deep basins with a strong spatial variability. Lowest values were found in the Amundsen Basin and moderate values in the Nansen and Makarov Basins with slightly higher estimates over the Mendeleev Ridge. Our findings support a coupling of NCP to sea ice coverage and nutrient supply and thus stress a potential change in spatial and temporal distribution of NCP in a future Arctic Ocean. To follow the evolution of NCP in space and time, it is suggested to apply one or several of these approaches in shipboard investigations with a time interval of 3 to 5 years.
Overcoming Subcultural Barriers in Educational Technology Support

Various higher education institutions in German speaking Europe are in the process of establishing educational technology support structures. Educational technology support brings together a variety of academics as well as administrative units such as IT services, multimedia shops, faculty development, or the libraries. The following contribution describes academic and support subcultures, unfolds areas of conflict and suggests strategies to overcome cultural barriers in edtech support. The paper recommends to anticipate cultural barriers between support groups and to eliminate those through the strategic planning of structural adjustments. Furthermore leadership on various levels is considered as being critical to reach cultural reconciliation and a productive support climate.
Identification of whitefish remains by mtDNA analysis

Remains of Coregonus sp. were obtained from the collection of archeological materials found in 1991 at the site Wola Grzymalina, Poland. DNA has been extracted from vertebrae that were dated about 500 000 years old. Polymerase chain reactions on extracts from the vertebral remains were succesful only using primers that targeted nucleotide sequences that were not longer than about 100bp. The ancient nucleotide sequence of a 102bp fragment of mitochondrial DNA NDI gene matched the contemporary sequence of European whitefish (Coregonus lavaretus) and differed from that of vendace (C. albula) by four substitutions. Ambiguous nucleotides were observed at nine positions throughout the 87bp fragment of mtDNA control region (CR), nonetheless the sequence was different from that of vendace by eight additional changes. Phylogenetic analysis utilizing Bayesian inference placed the archival sequence into a clade with European whitefish. The support for this reconstruction was f(τ‖X) = 0.65 after analysis of the NDI fragment and f(τ/X) = 0.52 after analysis of the CR fragment. Excellent preservation of the specimen analysed in this study proves the potential for analysing genetic characteristics of species and specimens that are thousands of years old.
Development of a Distributed Speech Recognition System

Over the years various devices have been used for the interaction man machine: mouse, keyboard, joystick and tablet. The speech, in particular, represents a mode of interaction extremely natural to man, seen that represents the method of communication preferential used every day. For this reason, speech technologies have played, and are of particular interest within the scientific community. The speech recognition systems represent the component through which the speech interaction with a system can take place. In particular, in this work, the atten tion has been placed on the development of a distributed speech recognition system. In this type of systems, the architecture of the speech recognition process is due to a pattern of client server. The client hosts the front end which calculates and extracts the representative speech parameters (features). The recognition of the message is carried by the back end server resident and is based on the processing of the feature stream. It was initially developed a front end according to stan dard ETSI ES 202 212, able to work in real time. The front end was first implemented on the Java platform, and then taken to mobile device, smartphone, based on Android platform. The remote back end has been developed using an open source toolkit (Sphinx 4) developed by Car negie Mellon University. Based on the problems identified in the first phase and especially of room for improvement glimpsed, research has subsequently focused on the speaker adaptation techniques. After careful analysis of the literature, in particular as regards the approaches of “speaker adaptation”, has been proposed and developed an original algorithm for speaker adapta tion, to be applied on the client side. This algorithm is characterized by reduced complexity, Doctoral School on Engineering Sciences Università Politecnica delle Marche while ensuring high performance. The results obtained note the effectiveness of the proposed method and the functionality of the speech recognition system distributed as a whole.
Pay Referents and Satisfaction with Pay: Does Occupational Proximity Matter?

We explore whether employees compare their pay to the pay of others in a similarly prestigious occupation, and, if so, whether this comparison has a negative impact on pay satisfaction. Using an experimental vignette methodology, Study 1 found that people are more inclined to compare to others from a similar or identical occupation and that comparison negatively impacts pay satisfaction. This comparison and its negative effect is particularly strong in high prestige occupations. Based on survey data, Study 2 also showed that the average pay of others in occupations of similar prestige is negatively correlated with employees’ pay satisfaction. This negative correlation was also stronger in higher prestige occupations. Our analysis highlights the importance of occupational prestige as a main factor influencing pay comparison.
The Effects of Management Accounting Systems and Organizational Commitment on Managerial Performance

This Study examines the interactive effects of organizational commitment and management accounting system (MAS) design on managerial performance. MAS design was defined in terms of the extent to which managers use broad scope MAS information. The responses of 134 managers, drawn from the public manufacturing companies in Taiwan, to a questionnaire survey were analyzed by moderated multiple regression method. The result shows that the interaction effect between the extent of the use of MAS information and organizational commitment had an impact on managerial performance. When the managers were with high organizational commitment, the extent of use of broad scope MAS information led to higher information processing capacity and hence to improve managerial performance.
Molecular diversity among wild relatives of Cajanus cajan (L.) Millsp.

The wild relatives of pigeonpea [Cajanus cajan (L.) Millsp. ] are important source of genetic variation carrying genes for resistance to various biotic and abiotic stresses and other morphological traits. In the present study, four wild relatives of pigeonpea were evaluated using 24 simple sequence repeat (SSR) markers to assess their genetic diversity at molecular level. Each marker, on average, amplified 3.3 alleles with polymorphic information content (PIC) value of 0.53. The dendrogram pattern revealed two distinct genotypic clusters and cultivated pigeonpea was closely related to Cajanus cajanifolius. On the contrary, Cajanus scarabaeoides was the most diverse from the cultivated type. The results also suggest that genetic distance between cultivated pigeonpea and wild species was not related to their hybridization barrier.
Characterisation of the surface geometry of 3D printed scaffolds for cell infiltration and surgical suturing

3D printing is of great interest for tissue engineering scaffolds due to the ability to form complex geometries and control internal structures, including porosity and pore size. The porous structure of scaffolds plays an important role in cell ingrowth and nutrition infusion. Although the internal porosity and pore size of 3D printed scaffolds have been frequently studied, the surface porosity and pore size, which are critical for cell infiltration and mass transport, have not been investigated. The surface geometry can differ considerably from the internal scaffold structure depending on the 3D printing process. It is vital to be able to control the surface geometry of scaffolds as well as the internal structure to fabricate optimal architectures. This work presents a method to control the surface porosity and pore size of 3D printed scaffolds. Six scaffold designs have been printed with surface porosities ranging from 3% - 21%. We have characterised the overall scaffold porosity and surface porosity using optical microscopy and microCT. It has been found that surface porosity has a significant impact on cell infiltration and proliferation. In addition, the porosity of the surface has been found to have an effect on mechanical properties and on the forces required to penetrate the scaffold with a surgical suturing needle. To the authors’ knowledge, this study is the first to investigate the surface geometry of extrusion-based 3D printed scaffolds and demonstrates the importance of surface geometry in cell infiltration and clinical manipulation. 3D printed surface was found to affect compressive modulus by up to 36% and suturing needle penetration forces by almost 50%. In addition, increasing surface porosity enabled up to 55% more cells to be seeded within the scaffolds during dynamic seeding and up to 110% greater cell proliferation over 14 days. The results demonstrate that the external surface is an important factor for 3D printed scaffolds and that the presented method is able to control it.
Circadian cycles in growth and feeding rates of heterotrophic protist plankton

Growth and feeding rates of four species of planktonic marine heterotrophic protists showed pronounced diel cycles. In most cases, rates were higher during the day and lower at night. However, for the ciliate Strobilidium sp. , growth was highest at night. In another ciliate species, Balanion comatum, no day‐night difference in growth and feeding rates was found. Maintenance of day‐night rate differences during 24‐h exposures to continuous darkness demonstrated that most of these protists had circadian cycles. The heterotrophic dinoflagellate Oxyrrhis marina exhibited a clear irradiance threshold for maintenance of the circadian cycle: day‐night differences in growth and feeding rates were observed at irradiances as low as 2.6 × 10−3 µmol photons m−2 s−1 but not at 3.1 × 10−4 µmol photons m−2 s−1. We also studied growth and feeding in transition from complete darkness to culturing in a day : night light cycle in O. marina and found that resetting the circadian cycle in this dinoflagellate temporarily arrested growth and feeding. We suggest that protists use a time‐integrated light threshold rather than an instantaneous irradiance to maintain the circadian cell cycle. This allows them to avoid temporary arrests in growth and feeding when they are mixed over depth across the 3.1 × 10−4 µmol photons m−2 s−1 irradiance threshold. Overall, higher rates of feeding and growth during the light period, when phytoplankton are photosynthetically active, may strongly influence predator‐prey cycles in the euphotic zone.
Hybrid system for adverse drug event detection

In context of the NLP Challenges for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0) (Yu et al., 2018), we built a hybrid natural language processing system that combined multiple algorithms and resources to identify the relationship between mentions of symptoms and drugs. Our system employed a conditional random field (CRF) model for named entity recognition (NER) and a random forest model for relation extraction (RE). Final performance of each model was evaluated separately and then combined on the challenge’s hold-out evaluation set. The micro-averaged F1 score was 80.9% for NER, 86.8% for RE, and 59.2% for the final system.
foF2 long‐term trend linked to Earth's magnetic field secular variation at a station under the northern crest of the equatorial ionization anomaly

Long‐term trend of the critical frequency of the F2 ionospheric region, foF2, at Phu Thuy station (21.03°N, 105.96°E), Vietnam, located under the northern crest of the equatorial ionization anomaly, EIA, is studied. Annual mean data are analyzed at 04 LT and 12 LT for the period 1962–2002 using monthly median values and monthly mean values during magnetically quiet days (am < 20). In both cases we obtain similar trends at 4 LT and 12 LT, which we interpret as an absence of geomagnetic activity effect over trends. The positive trends obtained are not consistent with the negative values expected from greenhouse gases effect at this layer of the upper atmosphere. The increasing trend observed at 12 LT is qualitatively in agreement with the expected effect of the secular displacement of the dip equator over the EIA latitudinal profile. At 04 LT, when the EIA is absent, the positive trend is in qualitative agreement with the secular variation of the Earth's magnetic field inclination, I, and the consequent increase of the sin(I)cos(I) factor at the corresponding location.
Developmental and Biophysical Control of T-cell Avidity Maturation in Autoimmune Diabetes

Maturation in Autoimmune Diabetes Bingye Han*, Athanasius F. M. Marée†‡, Pau Serra*, Jun Yamanouchi*, Abdelaziz Amrani*§, John F. Elliott||, Peter Dickie||, Leah Edelstein-Keshet‡, Teresa P. DiLorenzo¶ & Pere Santamaria* *Department of Microbiology and Infectious Diseases, and Julia McFarlane Diabetes Research Centre, Faculty of Medicine, University of Calgary, 3330 Hospital Dr. N.W. , Calgary, Alberta T2N 4N1, Canada
Planning method for circular road networks considering geographical features

In this study, we developed a program to plan circular road networks in mountainous regions. The program examined the main and branch strip roads using the Dijkstra method. Main strip roads that were orthogonal to the contour lines and used to reach the stand were planned to be on geographical features such as over ridges and through valleys. Branch strip roads were planned at regular intervals along the contour lines for operations; they formed a circular road network. The order of planning of main strip roads was changed at random for estimating the revenues and expenditures. Then, the road network with the largest benefit was planned. Moreover, the density of road networks was adjusted by decreasing the number of attainment points on the main strip roads. As a result, the program could plan a road network with higher benefits per unit cost of strip road construction.
The effect of financing on the allocation and production efficiency of the Hungarian health care system: placing primary care into focus

The increased supply and the demand-driven explosion of global health care costs threaten the sustainability of health care services, mandating optimisation of cost-efficiency via health policy. As of July 1 2006, preventive-curative health care has been reimbursed using a centralised, closed prospective method; thus Hungarian health care providers operate budgets allocated through macro, mezzo or micro-level allocation mechanisms. Lacking sufficient incentives for patient care on the lowest level of care, production efficiency is the only tool left to increase efficiency. Nonetheless, one of the bigger challenges of the twenty-first century is managing chronic diseases that mandate continuous complex care encompassing all levels of care and the optimisation of patient referral methods. However, current allocation mechanisms have not yet reflected this paradigm shift. The paper discusses how capitation financing, by providing strict budgetary constraints, a framework for local political goals and enhancing allocation efficiency, could be a proper tool for optimising both allocation and production efficiency. Moreover, we propose that given the theoretical and legal framework of gate-keeping and the organisation of patient care by primary care physicians in Hungary, vertical allocation and horizontal production efficiency may be established by strengthening a primary care system that is reimbursed through complete capitation financing.
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation

Generating novel molecules with optimal properties is a crucial step in many industries such as drug discovery. Recently, deep generative models have shown a promising way of performing de-novo molecular design. Although graph generative models are currently available they either have a graph size dependency in their number of parameters, limiting their use to only very small graphs or are formulated as a sequence of discrete actions needed to construct a graph, making the output graph non-differentiable w.r. t the model parameters, therefore preventing them to be used in scenarios such as conditional graph generation. In this work we propose a model for conditional graph generation that is computationally efficient and enables direct optimisation of the graph. We demonstrate favourable performance of our model on prototype-based molecular graph conditional generation tasks.
Conceptual Models for Ecosystem Management through the Participation of Local Social Actors: the Río Cruces Wetland Conflict

In 2004, the emigration and death of black-necked swans (Cygnus melancoryphus) from the Rio Cruces wetland (Valdivia, Chile) triggered one of the largest ecosocial conflicts in Chilean history. The main local social actors of this still unsolved conflict are the Chilean government, a pulp-mill company, and a local nongovernmental organization. The central issues of the conflict are disagreement over the reason for the swans' migration, the need to restore the black-necked swan population in the wetland, and the relationship between economic development and wetland conservation. We applied a physical, ecological, and social system approach to generate conceptual or qualitative ecosystem models representing the perceptions of all social actors. Our results showed that each actor group perceived the ecosystem in a different and, in some cases, divergent way. Furthermore, all of them carried only partial representations of the wetland and the conflict. We linked all the models to generate an integrated view of the Rio Cruces wetland ecosystem. We propose that this approach can be replicated as a tool for generating synthetic, integrated conceptual models of ecosystems, even in the presence of strong divergence and a lack of consensus among social actors.
Policy Optimization with Demonstrations — Supplementary Material

Our algorithm is implemented with Theano (Theano Development Team, 2016) based on the code provided in (Ho & Ermon, 2016). For all experiments, we use a three-layer fully connected neural network with Tanh nonlinear activation functions as our policy network. The number of hidden units is 64 for MountainCar and CartPole, and 100 for the others. The value network share the same architecture with the policy network and are optimized with Adam (Kingma & Ba, 2014). The other hyperparameters are provided in supplement. We use the DQfD1 code for experiments on MountainCar and CartPole and implement DDPGfD based on the public DDPG code2. The hyperparameter setting in the experiments, is given in Table 1.