Miracle-dz/UniFAR-FTUs huggingface dataset:
Tuning the electronic structure of single-walled carbon nanotube by high-pressure H2 exposure

We report on an electronic structure change of single-walled carbon nanotube (SWNT) on hexagonal boron nitride due to electron doping via high-pressure H2 exposure. The fractional coverage of hydrogenated carbon atom is estimated to be at least θ = 0.163 from the in situ Ids–Vg measurements of the release process. Raman spectroscopy and x-ray photoelectron spectroscopy were carried out to support the in situ electrical measurements. In particular, we used the dissociative Langmuir-type model to yield the desorption coefficient kdes by fitting it to the in situ electrical data. Finally, we applied this hydrogenation method to the SWNT network on the commercial Si/SiO2 substrate to open the possibility of the scalable n-type semiconducting SWNT FETs.
Early stage of nanodroplet impact on solid wall

In this study, we investigated nanodroplet spreading at the early stage after the impact using molecular dynamics simulations by changing the magnitude of the intermolecular force between the liquid and wall molecules. We showed that the droplet deformation after the impact greatly depends on the intermolecular force. The temporal evolution of the spreading diameters was measured by the cylindrical control volume for several molecular layers in the vicinity of the wall. At the early stage of the nanodroplet impact, the normalized spreading radius of the droplet is proportional to the square root of the normalized time, tˆ. This result is understood by the geometrical consideration presented by Rioboo et al. [“Time evolution of liquid drop impact onto solid, dry surfaces,” Exp. Fluids 33, 112–124 (2002)]. In addition, we found that as the intermolecular force between the liquid and wall becomes stronger, the normalized spreading diameter of the first molecular layer on the wall remains less dependent on th.
Energy Efficiency Comparison of a State Based Adaptive Transmission Protocol with Fixed Power Transmission for Mobile Wireless Sensors

In this paper a state-based adaptive power control protocol (SAPC) has been compared with classical fixed power communication for mobile wireless sensors. The distance between the transmitter and the base station is often not fixed as in the case of body wearable sensors. There can also be unaccounted obstructions in between the transmitter and the receiver. Since signal level attenuates with distance, it is important to choose the right power level that will not only deliver the packets with minimum error but conserve energy at the same time. The proposed adaptive algorithm does not transmit beacon or probe packet for channel quality estimation using the received signal strength before transmitting actual packets. It uses the present and past history of the outcome of packet transmission to evaluate and track link quality. The unique SAPC algorithm also controls the number of re-transmissions in each state. Experimental validation has been done using nRF24L01p transceiver modules. This algorithm can adapt itself to an unknown and variable radio channel in an energy-efficient manner. Experiments were conducted in indoor office environment within a university building and results show that SAPC uses up to 30% less energy than the fixed power communication
TIME DELAY AND CALABI INVARIANT IN CLASSICAL SCATTERING THEORY

We define, prove the existence and obtain explicit expressions for classical time delay defined in terms of sojourn times for abstract scattering pairs (H0, H) on a symplectic manifold. As a by-product, we establish a classical version of the Eisenbud–Wigner formula of quantum mechanics. Using recent results of Buslaev and Pushnitski on the scattering matrix in Hamiltonian mechanics, we also obtain an explicit expression for the derivative of the Calabi invariant of the Poincare scattering map. Our results are applied to dispersive Hamiltonians, to a classical particle in a tube and to Hamiltonians on the Poincare ball.
Rotor-Tip Leakage: Part II—Design Optimization Through Viscous Analysis and Experiment

Blade tip losses represent a major efficiency penalty in a turbine rotor. These losses are presently controlled by maintaining close tolerances on tip clearances. This two-part paper outlines a new methodology for predicting and minimizing tip flows, and focuses on the control of tip leakage through minimization of the discharge coefficient to control the normal leakage flow component. Minimization of the discharge coefficient was achieved through viscous analysis and was supported by discharge-rig testing. The analysis for the discharge cross-flow used a stream function-vorticity formulation. Support testing was conducted with a newly developed water table discharge rig in which tip-coolant discharge could also be simulated. Experimental and numerical tip-leakage results are presented on a discharge coefficient parameter for five different tip configurations. In addition, numerical studies were conducted for stationary and rotating blades with and without tip coolant injection.
Parabolic Free Boundary Problems Arising in Porous Medium Combustion

A parabolic partial differential equation approximating the evolution of temperature in highly exothermic porous-medium combustion at low driving velocities is examined. The equation is of reaction-diffusion type with a reaction term which is discontinuous as a function of the dependent variable. Firstly the variation of the steady solution set with the scaled heat of the reaction is described and the related time-dependent behaviour analysed. The stability results follow from characterizing the ends of the solution branch and fold points explicitly and deducing global stability results about the whole of the continuous solution branch. The results are used to indicate the parameter regimes and temporal scales on which the small driving velocity approximation ceases to be valid. Secondly the behaviour of the discontinuous partial differential equation is compared with that of a continuous equation which it approximates. This provides justification for the approximation of reaction terms possessing steep gradients by discontinuous functions; the large activation energy limit in porous-medium combustion involves such a process.
The Medicina survey of methanol masers at 6.7 GHz

A survey of Class II methanol masers at 6.7 GHz was made in the Northern hemisphere with the 32-m Medicina radio telescope. 42 objects were detected, 20 of them are new detections at 6.7 GHz. Our results show that the detection rate of 6.7 GHz masers toward the inner part of the Galaxy is higher than in other directions. It is conrmed that most of the methanol masers are as- sociated with faint compact HII regions. The 6.7 GHz me- thanol masers show large velocity dispersion and large ve- locity oset from the velocity of parent molecular clouds.
Algorithmic analysis of drug induced apoptosis and proteasome inhibition in cancer cells based on time-lapse microscopy images

Time lapse microscopy imaging has revolutionized the study of dynamic events taking place inside living cells. When combined with automated image analysis it provides a powerful tool that enables spatiotemporal large-scale quantification at the level of complete cell population. However, existing image analysis methods are rather limited in analyzing such time lapse datasets. Here is presented a fully automated approach to analyze phase contrast and fluorescence microscopy images using CellProfiler. Cellprofiler is an open source modular package that contains advance algorithms for image analysis for extraction of quantitative information from biological images. In this study pipelines based on CellProfiler were designed and implemented for analyzing drug induced apoptosis and proteasome inhibition in cancer therapy. A method for automatic extraction of apoptotic cells using phase contrast images based on their intrinsic shape features is also proposed.
Analyzing the Influence of Medical Stager and Intern Presentation in Simultaneous Seminars with Pre-Organizer Strategy on the Quality of Education From the Students' Perspective in Infectious Disease Ward (2012-2013)

Background: clinical education with patient-focused learning is very important in medical education. Therefore, it is very essential to select an appropriate education method. The current study was conducted to analyze the impact of simultaneous presentation of medical stager and inter in seminars provided with a pre-organizer strategy and from the students' perspective (2012-2013). Methods: this is a semi-experimental study with post-test method for a group of students. The students' perspective was evaluated via a questionnaire (including four arenas) designed by the researcher, after educating with seminar method and in the end of four semesters. The study population included stagers and interns studying during the four semesters. 33% of the students (36 people) were female and 70 students were male (66%). Results: the results presented that 57.7% of the students believed this method enhanced team-working, and 67.9 % believed it activated the students. 89.6% declared this method upgrades learning and 50.9% mentioned that it organized and categorized the information in students' mind. In total, 70.8% of the students preferred this method to other methods. There was no significant relationship between average, age, gender and grade with students' perspective in relation with the influence of this method in organizing information, increasing learning, activating students, and enhancing team-working. (P>0.05) Conclusions: according to the results, this method in recommended and it upgrades the quality of clinical education.
FACTORS INFLUENCING FARMERS’ DECISION TO INCREASE BEEF CATTLE BUSINESS SCALE IN CENTRAL JAVA PROVINCE

The purpose of this research was to analyze factors influencing farmers' decision to increasebeef cattle business scale through improved technology. The research was conducted by using a surveymethod. Five districts were purposively selected in three base areas and two non-base areas of beefcattle in Central Java Province, Indonesia. Twenty beef cattle groups were selected based on the largestcattle population managed and their performance, while 196 respondents were randomly selected.Farmers’ decision to increase beef cattle business scale was determined using a probit model. Result ofthe research indicated that the number of family labor and expectation to increase income had asignificantly positive influence on the farmers’ decision to increase beef cattle business scale. It meantthat if the total number of family labor increased, so did the farmers’ decision to increase the beef cattlebusiness scale. Also, if the expectation to revenue increased, so did the farmers’ decision to increase thebeef cattle business scale. On the contrary, education level and business risk had negative significantinfluence on the farmers’ decision to increase the beef cattle business scale with the significance levelsof 1.1 and 0.84, respectively.
Investigating the Effects of Se Solid Phase Substitution in Jarosite Minerals Influenced by Bacterial Reductive Dissolution

Jarosite minerals (AB3(TO4)2(OH)6) are iron hydroxysulfate minerals that can readily incorporate trace metals into their mineral structure. A range of metals can be incorporated into the jarosite structure, including oxyanions such as selenate (SeO42−). Selenium is a micronutrient, but is toxic in relatively low doses. Selenium is present in aqueous systems in its two oxyanion forms: selenate and selenite (SeO32−). The tetrahedral sulfate coordination site can be completely substituted for selenate in jarosite minerals (NaFe3(SO4)x(SeO4)2-x(OH)6). Bacteria have been observed to reduce Se oxyanions to both more reduced forms and insoluble elemental Se. This is a pathway for selenium immobilization at contaminated sites. This experiment investigates the reductive dissolution of two Se-jarosites (solid substitution containing high and low selenium concentrations) in the presence of Shewanella putrefaciens CN32. It was observed that both Fe(III) and selenate were metabolically reduced and released into solution through jarosite dissolution . Selenate was also found to be incorporated intracellularly and reduced to particulate Se which was released upon cell lysis. Compared to the abiotic samples, enhanced dissolution was found with both the live and dead bacteria treatments.
A proteomic approach to indentifying defense related proteins in rice challenged with the fungal pathogen Rhizoctonia solani

Sheath blight caused by the fungal pathogen fungus Rhizoctonia solani Kuhn, is an economically important disease of rice in the southern United States. The overall goal of this study was to identify proteins that were affected by sheath blight development by comparing protein expression patterns between the susceptible, wild-type cultivar Labelle and the resistant, mutant line LSBR-5. Protein samples were extracted from inoculated and noninoculated rice leaf sheaths after 24 hrs and then loaded onto a Bio-Rad 2-DE gel system. Approximately 1,000 protein spots stained with Sypro-Ruby were reproducibly resolved in all gels used in the comparison analysis. The comparison analysis of relative abundances of protein spots between inoculated and non-inoculated samples was carried out with PDQUEST image analysis software. With MS/MS spectra produced by ESI-Q-TOF analysis, 27 out of a total of 36 protein spots were identified through NCBI nr and NCBI EST database searching with Mascot MS/MS Ion Search Engines (Matrix Sciences). Twenty two protein spots were detected in response to inoculation of both susceptible and resistant plants where 21 protein spots were up-regulated and 1 protein spot was downregulated. Sixteen of the 22 proteins were identified. The presumed functions of the identified proteins were related to antifungal activity, energy metabolism, photosynthesis, protein degradation, and antioxidation. Eight of 16 identified proteins showed higher expression ratios in the inoculated LSBR-5 than in the inoculated Labelle. An additional 14 protein spots were detected in the response of the resistant LSBR-5. Eleven of 14 protein spots were identified with presumed functions relating to antifungal activity, signal transduction, energy metabolism, photosynthesis, molecular chaperone, protein degradation, and antioxidation.
Annual and Seasonal Discharge Responses to Forest / Land Cover Changes Abstract and Climate Variations in Kapuas River Basin , Indonesia

and Climate Variations in Kapuas River Basin, Indonesia AdeWAHYU Graduate Student Graduate School for International Development and Cooperation Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, 739-8529 Japan E-mail: adewahyu80@hiroshima-u.ac. jp Arno Adi KUNTORO Graduate Student Graduate School for International Development and Cooperation Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, 739-8529 Japan E-mail: arno_adikuntoro@hiroshima-u.ac. jp Takao YAMASHITA Professor Graduate School for International Development and Cooperation Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, 739-8529 Japan E-mail: tkoyamashita@hiroshima-u.ac. jp Kapuas River basin is one ofthe most important natural water resources in West Kalimantan, Indonesia. However, rapid increasing of forest degradation and land cover changes in the basin and climate variations has decreased the capability of the basin to provide and maintain its functions especially as a water catchment area. Examining the impact of land cover changes and climate variations is required to identify how the on-going and possible land cover and climate change may influence the annual and seasonal discharge, which later can be used to improve the predictability of hydrological consequences in the basin. Large scale of forest degradation and land cover changes had occurred in Kapuas River basin in the period of 1996 to 2006. More than 4,748 km2 (18.9%) of primary dryland forest turned into logged-over forest and around 5,473 km2 (99.1%) of primary swamp forest has been degraded. Hydrological simulation result on August 1997 and December 2007 which represent strong El Nino and La Nina, respectively, shows that the absence of forest cover reduced the discharge up to 15.8% and 38.6% in dry season, and increased the discharge up Journal of International Development and Cooperation, Vol.16, No.2, 20 I 0, pp. 81-100 82 Ade WAHYU, Amo Adi KUNTORO and Takao YAMASHITA to 7.0% and 12.5% in wet season. Results of hydrological simulation scenarios revealed that forest degradation and land cover changes affect Kapuas River discharge behavior, even though climate variations are the main factors that contributed to the change ofthe discharge in both annual and seasonal patterns.
Modelling and Optimisation-Based Control for Enhanced Performance of Electric Power Converters

Switched mode electric power converters are important components in today’s electricity dependent world. They interface power sources, grids, and consumers that operate at different AC and DC voltage levels. Their performance is a topic of growing interest, as high performance converters enable efficient, grid-friendly energy conversion and compact converter design. This dissertation aims at enhancing the performance of switched mode electric power converters through control. To achieve this, optimisation-based control approaches are sought that are applicable to a wide class of converters. First, a modelling framework is established that forms the basis for these control approaches. The framework features a discrete time model of the system dynamics, that accurately captures the switched system behaviour without constraining the modulation to predefined switching patterns. It furthermore includes relevant system outputs such as the power transfer and important performance measures such as reference tracking and conversion losses. As all models are compatible with the mixed-logical-dynamical (MLD) framework [7], the modelling framework allows for formulating mixed integer optimisation problems to find the converter operation for optimal system performance that are suitable for commercially available optimisation software. Next, the framework is employed in two optimisation-based control methods: Model predictive control and optimisation-based control of cyclic systems. In the second part of this thesis, the modelling framework is used in four different model predictive control (MPC) schemes. They differ in model accuracy, i.e. discretisation rate of the dynamics, and control update rate. The first presented scheme is averaging MPC, where the controller is updated once per switching period. This scheme is based on the commonly used averaged model of the system dynamics, which is obtained straightforwardly in the modelling framework by choosing the discretisation equal to the switching frequency. The resulting optimisation problems are generally linear or quadratic programs. The second scheme, intersampling MPC as presented e.g. in [5] or [31], uses more accurate, hybrid models with a higher discretisation frequency and the same control update rate as averaging. Using the presented modelling framework, this more accurate model of the system dynamics allows for including performance measures such as conversion losses in the MPC problem, resulting in linear or quadratic mixed integer programs. The third scheme, the herein proposed multisampling MPC, combines the model accuracy and corresponding benefits of intersampling MPC with a higher control update rate, which allows for faster reaction to disturbances. The formulation of averaging, intersampling, and multisampling MPC using the modelling framework is illustrated for a buck converter in simulation. Finally, the fourth MPC scheme, originally published
Identifying systemically important companies in the entire liability network of a small open economy

To a large extent, the systemic importance of financial institutions is related to the topology of financial liability networks. In this work we reconstruct and analyze the - to our knowledge - largest financial network that has been studied up to now. This financial liability network consists of 51,980 firms and 796 banks. It represents 80.2% of total liabilities towards banks by firms and all interbank liabilities from the entire Austrian banking system. We find that firms contribute to systemic risk in similar ways as banks do. In particular, we identify several medium-sized banks and firms with total assets below 1 bln. EUR that are systemically important in the entire financial network. We show that the notion of systemically important financial institutions (SIFIs) or global and domestic systemically important banks (G-SIBs or D-SIBs) can be straightforwardly extended to firms. We find that firms introduce slightly more systemic risk than banks. In Austria in 2008, the total systemic risk of the interbank network amounts to only 29% of the total systemic risk of the entire financial network, consisting of firms and banks.
Fuzzy evolutionary algorithm for VLSI placement

This paper presents a Fuzzy Simulated Evolution (FSE) algorithm for VLSI standard cell placement. This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. Approximation iterative heuristics such as Simulated Evolution are best suited to perform an intelligent search of the solution space. Due to the imprecise nature of design information at the placement stage the various objectives and constraints are expressed in the fuzzy domain. The search is made to evolve toward a vector of fuzzy goals. The proposed heuristic is compared with genetic algorithm. FSE was able to achieve better solutions than GA in a fraction of the time.
Mindfulness and Stress - a Randomised Experiment

We conduct a randomised controlled trial of an online course in mindfulness. Previous research has found evidence that mindfulness reduces stress; however, few studies have been carried out on non-clinical populations that have not self-selected into or paid for treatment. Our sample consists of 139 students with no pre-existing medical conditions and no prior information on the experiment and treatments. Half of them are asked to follow a four-week mindfulness training, while the other half are asked to watch a four-week series of historical documentaries. We follow participants for five consecutive weeks, with an additional post-intervention session five months later. We evaluate the effects of the mindfulness program on measures of chronic stress, and on the response to stressful situations, measured by cortisol and self-reports. We find strong evidence that mindfulness training reduces perceived stress, as measured by the Perceived Stress Scale. However, the physiological responses to an acutely stressful situation do not differ significantly between the treatment and control groups.