Miracle-dz/UniFAR-FTUs huggingface dataset:
THERMALNET: A DEEP CONVOLUTIONAL NETWORK FOR SYNTHETIC THERMAL IMAGE GENERATION

Abstract. Deep convolutional neural networks have dramatically changed the landscape of the modern computer vision. Nowadays methods based on deep neural networks show the best performance among image recognition and object detection algorithms. While polishing of network architectures received a lot of scholar attention, from the practical point of view the preparation of a large image dataset for a successful training of a neural network became one of major challenges. This challenge is particularly profound for image recognition in wavelengths lying outside the visible spectrum. For example no infrared or radar image datasets large enough for successful training of a deep neural network are available to date in public domain. Recent advances of deep neural networks prove that they are also capable to do arbitrary image transformations such as super-resolution image generation, grayscale image colorisation and imitation of style of a given artist. Thus a natural question arise: how could be deep neural networks used for augmentation of existing large image datasets? This paper is focused on the development of the Thermalnet deep convolutional neural network for augmentation of existing large visible image datasets with synthetic thermal images. The Thermalnet network architecture is inspired by colorisation deep neural networks.
Investigating riparian groundwater flow close to a losing river using diurnal temperature oscillations at high vertical resolution

River-water infiltration is of high relevance for hyporheic and riparian groundwater ecology as well as for drinking water supply by river-bank filtration. Heat has become a popular natural tracer to estimate exchange rates between rivers and groundwater. However, quantifying flow patterns and velocities is impeded by spatial and temporal variations of exchange fluxes, insufficient sensors spacing during field investigations, or simplifying assumptions for analysis or modeling such as uniform flow. The objective of this study is to investigate lateral shallow groundwater flow upon river-water infiltration at the shoreline of the riverbed and in the adjacent riparian zone of the River Thur in northeast Switzerland. Here we have applied distributed temperature sensing (DTS) along optical fibers wrapped around tubes to measure high-resolution vertical temperature profiles of the unsaturated zone and shallow riparian groundwater. Diurnal temperature oscillations were tracked in the subsurface and analyzed by means of dynamic harmonic regression to extract amplitudes and phase angles. Subsequent calculations of amplitude attenuation and time shift relative to the river signal show in detail vertical and temporal variations of heat transport in shallow riparian groundwater. In addition, we apply a numerical two-dimensional heat transport model for the unsaturated zone and shallow groundwater to obtain a better understanding of the observed heat transport processes in shallow riparian groundwater and to estimate the groundwater flow velocity. Our results show that the observed riparian groundwater temperature distribution cannot be described by uniform flow, but rather by horizontal groundwater flow velocities varying over depth. In addition, heat transfer of diurnal temperature oscillations from the losing river through shallow groundwater is influenced by thermal exchange with the unsaturated zone. Neglecting the influence of the unsaturated zone would cause biased interpretation and underestimation of groundwater flow velocities. The combination of high resolution field data and modeling shows the complex hydraulic and thermal processes occurring in shallow riparian groundwater close to losing river sections as well as potential errors sources for interpreting diurnal temperature oscillations in such environments.
Adaptive Bayesian P-splines to estimate varying regression coeﬃcients: application to receptor occupancy estimation

In many applications of linear regression models, the regression coecien ts are not regarded as xed but as varying with another covariate named the eect modier. A useful extension of the linear regression models are then varying coecien t models. To link the regression coecien t with the eect modier, several methods may be considered. Here, we propose to use Bayesian P-splines to relate in a smoothed way the regression coecien t with the eect modier. We show that this method enables a large level of exibilit y: if necessary, adaptive penalties can be introduced in the model (Jullion and Lambert 2007) and linear constraints on the relation between the regression coecien t and the eect modier may easily be added. We provide an illustration of the proposed method in a PET study where we want to estimate the relation between the Receptor Occupancy and the drug concentration in the plasma. As we work in a Bayesian setting, credibility sets are easily obtained for receptor occupancy, which take into account the uncertainty appearing at all the dieren t estimation steps.
Seeing Community for the Trees: The Links among Contact with Natural Environments, Community Cohesion, and Crime

Individuals may be losing touch with nature as their contact with it decreases worldwide. Although the consequences for people's personal well-being outcomes are becoming well documented, there is almost no research examining the social correlates of contact with nature. This article used a large nationally representative sample to link objective (percent greenspace) and subjective measurements of contact with nature, community cohesion, and local crime incidence. The perceived quality, views, and amount of time spent in nature were linked to more community cohesion, and in turn, the perception of cohesive communities enhanced individual well-being outcomes and contributions back to society through higher workplace productivity and environmentally responsible behaviors. Our findings also indicated that local nature was linked to lower crime both directly and indirectly through its effects on community cohesion.
Cold Plasma Technology for Textile Products, Taking into Account their Specific Properties

During this research a combination of plasma electrodes and sample holder was developed that enables the treatment of textiles as 3D porous structures. Experimental results show e.g. the influence of fabric structure on weight loss and of fibre processing chemicals on plasma induced hydrophylic properties. Spectroscopic methodology at STP is developed to assess the content and intensity of the plasma treatment. It is hoped that the research findings will be useful for both the vacuum and atmospheric plasma treatment of textile and other porous materials in industrial reality.
Abrupt environmental change in Canada’s northernmost lake inferred from fossil diatom and pigment stratigraphy

An analysis of diatoms and fossil pigments in a sediment core from perennially ice‐covered Ward Hunt Lake at latitude 83°N in Nunavut, Canada revealed striking changes in diatom communities and sedimentary pigment concentrations during the last two centuries. Diatoms were found only in the upper 2.5 cm of the sedimentary record, and where present, diatom assemblages were composed almost entirely of Staurosirella pinnata. Photosynthetic pigments were present in low concentrations throughout the sedimentary profile, consistent with the ultra‐oligotrophic nutrient status of the lake. Pigment concentrations varied slightly in the lower sections of the core, and began to increase gradually at the 4 cm horizon followed by an increase of two orders of magnitude in the uppermost 2.5 cm. The changes observed in the sedimentary record of Ward Hunt Lake had similar trajectories to those observed post‐1850 elsewhere in the circumpolar Arctic, and imply that aquatic communities even in the most extreme northern lakes have been strongly impacted by recent climate warming.
Solving Unconstrained Global Optimization Problems via Hybrid Swarm Intelligence Approaches

Stochastic global optimization (SGO) algorithms such as the particle swarm optimization (PSO) approach have become popular for solving unconstrained global optimization (UGO) problems. The PSO approach, which belongs to the swarm intelligence domain, does not require gradient information, enabling it to overcome this limitation of traditional nonlinear programming methods. Unfortunately, PSO algorithm implementation and performance depend on several parameters, such as cognitive parameter, social parameter, and constriction coefficient. These parameters are tuned by using trial and error. To reduce the parametrization of a PSO method, this work presents two efficient hybrid SGO approaches, namely, a real-coded genetic algorithm-based PSO (RGA-PSO) method and an artificial immune algorithm-based PSO (AIA-PSO) method. The specific parameters of the internal PSO algorithm are optimized using the external RGA and AIA approaches, and then the internal PSO algorithm is applied to solve UGO problems. The performances of the proposed RGA-PSO and AIA-PSO algorithms are then evaluated using a set of benchmark UGO problems. Numerical results indicate that, besides their ability to converge to a global minimum for each test UGO problem, the proposed RGA-PSO and AIA-PSO algorithms outperform many hybrid SGO algorithms. Thus, the RGA-PSO and AIA-PSO approaches can be considered alternative SGO approaches for solving standard-dimensional UGO problems.
New distribution channels in service firms: marketing and organizational consequences

This paper aims at showing marketing and organizational impacts of the diversification of distribution channels, i.e. interfaces between distributor and consumer, on the service encounter between customers and a service firm in retail banking. Interactions between branches, the outgoing call-centre and the incoming call-centre are scrutinized. Our study highlights four main results : (a) New distribution channels use is linked to customer profile, and lack of customer capacity to participate is a major restraint to customer willingness to participate. (b) New distribution channels favour potential customer opportunism for a limited number of customers. Two forms of opportunism are shown: active and premeditated opportunism versus the incoming call-centre, “spontaneous” or “incident” opportunism when called by the outgoing call-centre. (c) To limit potential opportunism, the bank insists on formal coordination mechanisms: process standardization, qualification standardization, direct supervision. (d) the customer acts as a “perception filter” between the different channels employees. The customer’s actions modify - positively or more generally negatively - the internal perception of branch sales people about their colleagues working in the call centre.
Generation of variable polarisation in a short wavelength FEL amplifier

So far, short wave­length Free Elec­tron Laser am­pli­fiers have pro­duced lin­ear­ly po­larised ra­di­a­tion. For sev­er­al im­por­tant class­es of ex­per­i­ment, vari­able po­lar­i­sa­tion is re­quired. For ex­am­ple, in the wave­length range from 1.5 to 2.5 nm, light po­lar­i­sa­tion is im­por­tant in char­ac­ter­is­ing mag­net­ic ma­te­ri­als where mea­sure­ments de­pend crit­i­cal­ly upon the hand­ed­ness of the po­lar­i­sa­tion. It is there­fore im­por­tant that the po­lar­i­sa­tion does not fluc­tu­ate be­tween mea­sure­ments. In this paper, we study pos­si­ble meth­ods to gen­er­ate vari­ably po­larised light and con­sid­er its shot-to-shot sta­bil­i­ty.
Inoculant effects on red clover silage: fermentation products and nutritive value.

The study investigated effects of five different microbial inoculants on silage fermentation and nutritive value. Silage was prepared from red clover-rich material with dry matter content after 24 hours of wilting of 170 g kg I 1 for the first cut and 430 g kg I 1 for the second cut. Tests with five different commercial inoculants were based on different strains of Lactobacillus plantarum which were used alone or in combinations with other lactic acid bacteria (1/BO, 2/BI, 3/SI, 4/EC, 5/BM), and chemical additive (CHEM) were used. Six commercial additives were compared with the untreated control. The additives were applied to fresh forage at the levels recommended by the manufacturers. Chemical compositions of the first and second cut of red clover were significantly different I crude protein 176 g kg I 1 and 143 g kg I 1 ; NDF 366 g kg I 1 and 503 g kg I 1 DM respectively. In the first trial, silages treated with 2/BI had lower levels of acetic acid 25.5 g kg I 1 and ethanol 8.0 g kg I 1 compared to the control values of 35.6 g kg I 1 and 11.6 g kg I 1 (P<0.05). Otherwise, the pH, and contents of ammonia nitrogen, ethanol and organic acids were no different from the control silage. In the second trial, silage treated with 1/BO and 4/EC showed the highest contents of lactic acid. Compared to the untreated control silage, the acetic acid content was lower in silages treated with 2/BI, 3/SI and 5/BM (P<0.05). The lactic acid:acetic acid ratio was higher in inoculated silages: for 1/BO, 2/BI; 3/SI, 4/EC and 5/BM it was 2.73; 2.17; 1.98; 2.03 and 2.87, respectively. The same ratio for the control silage was 1.83. All commercial inoculants improved the fermentation quality of red clover silage under the conditions stated. No differences were found between dry matter in vitro digestibility of the inoculated and the control silage for both the first and second cut. Digestibility of the red clover silage treated with CHEM was higher than that of the control silage by 4.6% for the first cut and by 7.3% for the second cut (P<0.001).
Millimetre Wave Series Connected Doherty PA Using 45nm SOI Process

With the high demand for high data rate communication systems, it is expected that wireless networks will migrate into the unexploited millimeter-wave frequencies. This migration and the utilization of wideband digitally modulated signal possessing of high Peak-to-Average-PowerRatio (PAPR) brings difficult challenges in attaining a satisfactory trade-off between linearity and efficiency when designing mm-wave power amplifiers (PAs). There are various methods of maximizing the output power and peak efficiency of mm-wave PAs that use deep-sub-micron technologies. Of these methods, little attention has been given to the efficiency enhancement of PAs in back-off region. The use of the Doherty technique in the mm-wave frequencies has attracted little attention. This is mainly due to complexity in realizing the λ/4 impedance inverter and the low-gain of the class-C operating peaking transistor using deep-sub-micron technologies. In this thesis, a series-connected-load (SCL) Doherty topology is proposed to enhance the efficiency of a millimeter-wave power amplifier realized on a deep-sub-micron semiconductor technology. The output combiner is determined by the ABCD matrices of the ideal combiner network in the SCL Doherty PA to ensure proper load modulation. Then, it describes the methodology applied to realize the transformer-based combiner networks while absorbing the parasitic capacitances of the transistors to maximize efficiency in the back-off region. This methodology is then applied to realize a two-stage SCL Doherty PA in 45 nm Silicon-onInsulator CMOS technology to operate at 60 GHz.
Seasonal and Regional Animal Use of Drainage Structures to Cross Under Roadways

Road drainage structures, hereafter designated culverts, are often used by wildlife and other animals to cross under roadways. However, crossings may vary by species, culvert design, diff erent environmental factors, and land-use and land-cover (LULC) at culvert sites. We monitored 265 culverts located throughout Maryland, USA, with motion-detecting game cameras to assess seasonal and regional eff ects on culvert crossing rates by wildlife and other animal species considered common to the areas. Northern raccoon (Procyon lotor) and Virginia opossum (Didelphis virginiana) exhibited lower crossing rates in culverts during winter than at other times of the year. We did not detect any diff erence in seasonal crossings for other species, but several species exhibited similar patterns of lower crossings/culvert/day during winter. We detected more crossings/culvert/day in the Piedmont ecoregion of Maryland for several species associated with farmland and suburbia (e.g., raccoon and red fox [Vulpes vulpes]). In contrast, opossum and free-ranging domestic cat (Felis catus) crossing rates were greater in the Appalachian Mountain ecoregion. The crossing rates for the only bird species we recorded on camera traps, the great blue heron (Ardea herodias), tended to increase from west to east, with its highest crossing rate on the Eastern Shore (lower coastal plain) of Maryland, where these birds are known to be abundant in tidal marshes. Besides a myriad of LULC and structural variables known to aff ect wildlife and other animal crossing rates, seasonal and regional diff erences in animal use must also be taken into consideration for culvert design and placement or retrofi tting existing culverts to enhance crossings by particular animal species.
Numerical Modeling of Unsteady Cavitating Flows around a Stationary Hydrofoil

The objective of this paper is to evaluate the predictive capability of three popular transport equation-based cavitation models for the simulations of partial sheet cavitation and unsteady sheet/cloud cavitating flows around a stationary NACA66 hydrofoil. The 2D calculations are performed by solving the Reynolds-averaged Navier-Stokes equation using the CFD solver CFX with the k-ω SST turbulence model. The local compressibility effect is considered using a local density correction for the turbulent eddy viscosity. The calculations are validated with experiments conducted in a cavitation tunnel at the French Naval Academy. The hydrofoil has a fixed angle of attack of α=6° with a Reynolds number of Re = 750,000 at different cavitation numbers σ. Without the density modification, over-prediction of the turbulent viscosity near the cavity closure reduces the cavity length and modifies the cavity shedding characteristics. The results show that it is important to capture both the mean and fluctuating values of the hydrodynamic coefficients because (1) the high amplitude of the fluctuations is critical to capturing the extremes of the loads to ensure structural safety and (2) the need to capture the frequency of the fluctuations, to avoid unwanted noise, vibrations, and accelerated fatigue issues.
Auto-servo ventilation in heart failure with sleep apnea – a randomized controlled trial

We tested the hypotheses that in patients with congestive heart failure (CHF) and sleep-disordered breathing (SDB) auto-servo ventilation (ASV) improves cardiac function and quality of life. Between 3/2007 and 9/2009 patients with stable CHF (left ventricular ejection fraction, LVEF≤40%) and SDB (apnea-hypopnea index, AHI ≥20/h) were randomized to either ASV (BiPAP ASV, Philips Respironics, n=37) and optimal medical management or optimal medical management alone (n=35). Outcomes were assessed at baseline and 12 weeks. The AHI assessed with polysomnography scored in one core-lab was significantly more reduced in the ASV-group (-39±16 vs. -1±13 /hour, p<0.001) with an average use of 4.5±3.0 hours/day. Both groups showed similar improvements of the primary endpoint LVEF (+3.4±5 vs. +3.5±6 %, p=0.915) assessed with echocardiography. In the ASV-group reduction of N-terminal pro brain natriuretic peptide (NT-proBNP) was significantly greater (-360±569 versus +135±625 ng/ml, p=0.010). No differences were observed between the groups in subjective quality of life. In patients with CHF and SDB ASV reduced NT-proBNP levels, but improvement of LVEF or quality of life was not greater than in the control group. Data support that such patients can be randomized in large scale long-term trials of PAP therapy versus control to determine effects on cardiovascular outcome. Wordcount Abstract (≤200): 200
How does overseas investment affect activity at home

I investigate the behaviour of multinational firms in UK manufacturing and business service sectors. I differentiate between UK multinationals that make outward investments in relatively low-wage economies versus those that do not, and between their activities in highskill versus low-skill industries in the UK. UK multinationals that invest in low-wage economies typically also invest in a large number of high-wage economies. I find some evidence that these firms display lower employment growth than other types of firm, in particular in low-skill UK industries, consistent with labour in relatively low-wage economies being a substitute for labour in relatively low-skill industries in the UK. But in high-skill manufacturing industries establishments owned by UK multinationals that invest in low-wage economies are among the largest and most productive. However, my findings suggest that this is not a result of overseas investment, but rather that only the most productive firms can bear the costs of investing in numerous locations abroad.
Primkoveri masih dilakukan secara sederhana dikarenakan keterbatasan koperasi dalam melibatkan tenaga analis kredit yang membutuhkan biaya cukup mahal dan seringkali memberatkan nasabah, kesederhanaan analisis inilah yang memicu terjadinya kredit macet . Antisipasi yang biasa dilakukan hanyalah deng

Analysis of the classification of the customer predictions that potentially bad credit in Primkoveri Cooperation is still use manual way due to the limitations of the cooperation in the credit analyst power involves a quite expensive cost and often complicating the customer , the simplicity of the analysis here's what triggered the bad credit. Ussually, Anticipation are by doing personal approaches to all credit customer.A good analysis should an analysis that capable to generating an accurate and precise data in the manufacturing process. With the reasons already mentioned, the author chose to do the calculation analysis of the classification customer prediction that potentially had a bad debts more effectively which can be used to replace the manual way is to use data mining. The parameters used to determine the potential bad debts are the Age, Status, employment, income, Credit, Max length of time credit and Installment. The methods used in the classification is a method of classification by using desicion tree with one of the algorithms used is tree desicion C 4.5. The results of the research of the problems that developed is can be concluded that the implementation method of the customer data against tree desicion Credit Cooperative Primkoveri Waleri in year 2014 has a good degree of accuracy in completing the solution of classification data mining algorithm with C4.5 is up to 86%.
Smoothed particle hydrodynamics simulation of confined viscous flows

In this work the Smoothed Particle Hydrodynamics methodology (SPH) is used to simulate incompressible and confined viscous flows of Newtonian fluids. The SPH is a meshfree Lagrangian method which simulates the flow using moving fluid particles that interact one with others by hydrodynamics forces. The forces acting on each particle are evaluated using a spatial filtering process, taken over a certain region in the neighbourhood of the particle which is defined by a smoothing length, h. The filter kernel function and the ratio of the mean spatial displacement of the particles, and the smoothing length, h, are both of central importance for the accuracy of this methodology. A study of the relative importance of this parameters and also of the boundary condition scheme and pressure constitutive model are performed in a context of low Reynolds number flows. The model is validated by comparison with analytical solution of the Stokes equations. Additionally, the cases Re = 1 and Re = 100 are simulated. Good agreement of the results of the simulations and the reference theoretical data was observed.