Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a Multi-Segmented Magnetic Robot for Hull Inspection

The use of a hull-climbing robot is proposed to assist hull surveyors in their inspection tasks, reducing cost and risk to personnel. A novel multisegmented hull-climbing robot with magnetic wheels is introduced where multiple two-wheeled modular segments are adjoined by flexible linkages. Compared to traditional rigid-body tracked magnetic robots that tend to detach easily in the presence of surface discontinuities, the segmented design adapts to such discontinuities with improved adhesion to the ferrous surface. Coordinated mobility is achieved with the use of a motion-control algorithm that estimates robot pose through position sensors located in each segment and linkage in order to optimally command each of the drive motors of the system. Self-powered segments and an onboard radio allow for wireless transmission of video and control data between the robot and its operator control unit. The modular-design approach of the system is highly suited for upgrading or adding segments as needed. For example, enhancing the system with a segment that supports an ultrasonic measurement device used to measure hull-thickness of corroded sites can help minimize the number of areas that a surveyor must personally visit for further inspection and repair. Future development efforts may lead to the design of autonomy segments that accept high-level commands from the operator and automatically execute wide-area inspections. It is also foreseeable that with several multi-segmented robots, a coordinated inspection task can take place in parallel, significantly reducing inspection time and cost.
Avance al estudio del registro gráfico paleolítico de la Cueva de Solviejo (Voto, Cantabria, España)

Se presenta el estudio desarrollado recientemente de las manifestaciones graficas paleoliticas de la Cueva de Solviejo, en Voto (Cantabria). Por la tematica desarrollada, las tecnicas de ejecucion empleadas y sus caracteres morfo-estilisticos, es atribuible a una fase antigua del Paleolitico Superior, con caracteristicas que apuntan hacia el Gravetiense.
ANTI-FERTILITY EFFICACY OF THE PLANT POLYGALA JAVANA DC ON MALE ALBINO RATS

Anti-fertility effect of ethanol extract of whole plant extract of Polygala javana was observed in male albino rats. The relative weight of the testes and epididymis were decreased. The epididymal sperm count, motility and sperm abnormality were reduced significantly in treated rats. There was an increase in serum urea, creatinine and the activity of liver marker enzymes (SGOT, SGPT and ALP) levels of control and treated rats. The activities of serum antioxidants (CAT, SOD. GPX, GST and GRD) in plant extract treated rats were decreased. The results of the hormonal assay showed that increased serum levels of FSH and estrogen but decreased in the serum levels of LH and testosterone compared to control. The results of fertility test indicated that the treated adult male rats reduced the number of female’s impregnation. In addition, the number of implantations and the number of viable fetuses were also decreased. The results of the present study concluded that, ethanol extract of whole plant of Polygala javana inhibited sperm concentration, motility and testosterone which might result in a male fertility.
An Automatic Ontology Matching Using Similarity of Components and Synonym

An automatic ontology matching is a task to align identical classes from different ontologies. This work presents a new method to detect same ontological class using components within ontology including label and property. Moreover, a synonym set gained from language resources such as WordNet and dictionary is included to detect synonymous classes with different surface form. These features are utilized to determine a similarity of classes in alignment. From testing, we found that the proposed method can automatically detect both explicitly and implicitly similar classes. The best combination of features is the exploitation of property and synonym for obtaining about 86% in f-measure while using only synonym gave highest precision
GPCODON ALIGNMENT: A GLOBAL PAIRWISE CODON BASED SEQUENCE ALIGNMENT APPROACH

The alignment of two DNA sequences is a basic step in the analysis of biological data. Sequencing a long DNA sequence is one of the most interesting problems in bioinformatics. Several techniques have been developed to solve this sequence alignment problem like dynamic programming and heuristic algorithms. In this paper, we introduce (GPCodon alignment) a pairwise DNA-DNA method for global sequence alignment that improves the accuracy of pairwise sequence alignment. We use a new scoring matrix to produce the final alignment called the empirical codon substitution matrix. Using this matrix in our technique enabled the discovery of new relationships between sequences that could not be discovered using traditional matrices. In addition, we present experimental results that show the performance of the proposed technique over eleven datasets of average length of 2967 bps. We compared the efficiency and accuracy of our techniques against a comparable tool called “Pairwise Align Codons” [1].
Award Number: W81XWH-07-1-0058 TITLE: Cone-Beam Computed Tomography for Image-Guided Radiation Therapy of Prostate Cancer

Imaging plays a vital role in radiation therapy and with recent advances in technology considerable emphasis has been placed on cone-beam CT (CBCT). Attaching a kV x-ray source and flat panel detector directly to the linear accelerator gantry has enabled progress in target localization techniques, which can include daily CBCT set-up scans for some treatments. However, with an increasing number of CT scans there is also an increasing concern for patient exposure. An intensity-weighted region-of-interest (IWROI) technique, which has the potential to greatly reduce CBCT dose, in conjunction with the chord-based backprojectionfiltration (BPF) reconstruction algorithm has been developed and its feasibility in clinical use is demonstrated in this paper. A nonuniform filter is placed in the x-ray beam to create regions of two different beam intensities. In this manner, regions outside the target area can be given a reduced dose but still visualized with a lower contrast-to-noise-ratio (CNR). Image artifacts due to transverse data truncation, which would have occurred in conventional reconstruction algorithms, are avoided and image noise levels of the low and high-intensity regions are well controlled by use of the chord-based BPF reconstruction algorithm. The proposed IWROI technique can play an important role in image-guided radiation therapy (IGRT).
MATERNAL CONDITION AND NESTLING SEX RATIO IN HOUSE WRENS

Abstract Parents are expected to vary the sex ratio of their offspring in relation to the sex-specific fitness benefits. However, benefits of producing sex-biased broods may be dependent on condition of the female. For example, mothers in good condition could achieve greater fitness if they produced high-quality sons, whereas, mothers in poor condition would gain more by producing daughters rather than poor-quality sons. As a consequence, we would expect to see a relationship between female condition and sex ratio of offspring. We examined effect of maternal condition on nestling condition and sex ratio in the House Wren (Troglodytes aedon). Overall sex ratio of nestlings in the population was not biased, but females in better condition produced relatively more sons. Overall positive relationship between female condition and proportion of male offspring was due to second broods, which were significantly male-biased and more likely to be produced by females in good condition. Females in better condition also tended to provision young more often and produced both male and female nestlings in better condition. Polygyny and extrapair mating are common in House Wrens. If males in good condition are more likely to be successful breeders as adults, then it may benefit mothers in good condition to produce more sons.
Particle-Based Moving Interface Method for The Study ofthe Interaction Between Soft Colloid Particles andImmersed Fibrous Network

Many colloidal-sized particles encountered in biological and membranebased separation applications can be characterized as soft vesicles such as cells, yeast, viruses and surfactant micelles. The deformation of these vesicles is expected to critically affect permeation by accommodating pore shapes and sizes or enhancing the adhesion with a pore surface. Numerical and theoretical modelings will be critical to fully understand these processes and thus design novel filtration membranes that target, not only size, but deformability as a selection criterion. The present paper therefore introduces a multiscale strategy that enables the determination of the permeability of a fibrous network with respect to complex fluids loaded with vesicles. The contributions are two-fold. First, we introduce a particle-based moving interface method that can be used to characterized the severe deformation of vesicles interacting with an immersed fibrous network. Second, we present a homogenization strategy that permits the determination of a network permeability, based on the micromechanisms of vesicle deformation and permeation. As a proof of concept, we then investigate the role of vesicle-solvent surface tension on the permeation of both solvent and vesicle through a simple fiber network. We find that vesicles are always retarded relative to the continuum (or solvent) flow, and that the relative selectivity for the continuum versus the vesicle is inversely proportional to the capillary number.
Variational Recurrent Adversarial Deep Domain Adaptation

We study the problem of learning domain invariant representations for time series data while transferring the complex temporal latent dependencies between domains. Our model termed as Variational Recurrent Adversarial Deep Domain Adaptation (VRADA) is built atop a variational recurrent neural network (VRNN) and trains adversarially to capture complex temporal relationships that are domain-invariant. This is (as far as we know) the ﬁrst to capture and transfer temporal latent dependencies of multivariate time-series data. Through experiments on real-world multivariate healthcare time-series datasets, we empirically demonstrate that learning temporal dependencies helps our model’s ability to create domain-invariant representations, allowing our model to outperform current state-of-the-art deep domain adaptation approaches.
The anchor of the frameless intrauterine device does not migrate over time: an analysis in over 300 women

Objective: To evaluate the correct position of the anchor at insertion and follow-up and assess if migration of the anchor occurs over time. Materials and methods: This was an insertion-related prospective postmarketing study in 309 women. Following insertion women were followed up at 4-6 weeks 6 months and yearly thereafter. The position of the visualized anchor in the fundus of the uterus was evaluated using ultrasound by measuring its distance from the serosal surface of the uterus (SA-distance). Results: A total of 309 parous (n=115) and nulliparous (n=194) women were fitted with the frameless GyneFix 200 or the GyneFix 330 intrauterine device for contraception. The mean SA-distance in 306 parous and nulliparous women was 6.0 mm (range 2.0-24.0 mm) at insertion in the parous group and 5.4 mm (range 1.3-11.0 mm) in the nulliparous group. At the first follow-up in 281 women the SA-distance was 6.0 mm (range 2.0-12.0 mm) in the parous group and 5.5 mm (range 1.1-11.0 mm) in the nulliparous group. The SA-distance was not significantly different. One patient had an exceptionally large SA-distance of 24 mm probably due to insertion in the posterior wall. No follow-up could be done in this patient. In 77 women the SA-distance was measured up to 42 months. The mean SA-distance at insertion in the parous group was 5.2 mm (range 3.0-8.5 mm) and 4.8 mm (range 1.3-7.0 mm) in the nulliparous group. At the last follow-up up to 36 months or longer the SA-distance was 5.1 mm (range 3.0-8.5 mm) in the parous group and 4.9 mm (range 1.3-7.0 mm) in the nulliparous group. The SA-distance was not significantly different. The visualized anchor was highly visible on ultrasound in all cases. Conclusion: The visualized anchor is a key element in the optimization of frameless technology with the aim of allowing the provider to check its placement at insertion and at follow-up which enhances provider confidence and assurance. The authors recommend measuring the thickness of the fundus prior to inserting the frameless intrauterine device and to measure the distance between the serosa and the visualized anchor following insertion and at the first follow-up examination.
Production technology and some quality parameters of Njeguši cheese

Industrialization of agricultural production and depopulation of areas that are recognized by traditional products, reached its peak during the last few decades. This represents a significant risk that the technology of traditional agricultural products, especially cheeses, can go into oblivion. Njeguši cheese is one of the famous Montenegrin traditional dairy products which originates from the mountain Lovćen and its peripheral areas. Produced by traditional technology, it belongs to a group of full fat, hard cheeses. Owing to its characteristic, spicy taste and pleasant odour, Njeguši cheese can be compared with some of the most famous hard cheeses. Originally it is made from ewe’s milk, but also, cow’s, goat’s and their mixture in different proportions, are increasingly used, which may be the treat to the originality of Njeguši cheese. The present study offers a description of original Njeguši cheese technology, followed by analysis of the chemical quality of ewe’s milk, cheese and whey. Thereat milk, cheese and whey samples were taken from 5 households located at the place of cheese origin - the Njeguši village. Chemical quality of ewe’s milk, cheese and whey was determined by method of FTIR spectrophotometry. Milk fat in the dry matter and moisture in cheese non-fat basis were mathematically calculated. The average content of milk fat in ewe’s milk was 4.92 %, proteins 4.59 %, lactose 4.14 % and total solids non-fat 9.46 %. Accordingly, the analysed cheeses belonged to full fat, semi-hard cheese due to 51.73 % fat in total solids and 60.07 % moisture in non-fat basis. The only deviation from original technology was shortening of the ripening period. Apart from the main objective - the preservation of the original technology, this study could significantly contribute to the process of protection of origin of Njeguši cheese, because the technology of cheese fulfilled the requirements listed in the National Law on the protection of designations of origin.
A NONCOOPERATIVE MODEL OF NETWORK FORMATION BY VENKATESH BALA

We present an approach to network formation based on the notion that social networks are formed by individual decisions that trade off the costs of forming and maintaining links against the potential rewards from doing so. We suppose that a link with another agent allows access, in part and in due course, to the benefits available to the latter via his own links. Thus individual links generate externalities whose value depends on the level of decay delay associated with indirect links. A distinctive aspect of our approach is that the costs of link formation are incurred only by the person who initiates the link. This allows us to formulate the network formation process as a noncooperative game. We first provide a characterization of the architecture of equilibrium networks. We then study the dynamics of network formation. We find that individual efforts to access benefits offered by others lead, rapidly, to the emergence of an equilibrium social network, under a variety of circumstances. The limiting networks have simple architectures, e.g., the wheel, the star, or generalizations of these networks. In many cases, such networks are also socially efficient.
Learning the meaning of music

This paper describes a system for connecting sounds and words in linked multi-dimensional vector spaces. The acoustic space is represented using anchor models and partitioned using agglomerative clustering. The semantic space is modeled by a hierarchical multinomial clustering model. Nodes in one space are linked by probabilistic models to the other space. With these linked models, users retrieve sounds with natural language, and the system describes new sounds with words.
The Tip Level of the Conus Medullaris by Magnetic Resonance Imaging and Cadaver Studies in Korean Adults

The spinal cord is part of the central nervous system, and its caudal end is named as the conus medullaris. Many researchers have reported the tip level of the conus medullaris by magnetic resonance imaging studies; others by cadaver dissection. The tip level of magnetic resonance imaging studies seemed to be higher than that of cadaver studies. We evaluated the tip level the conus medullaris with magnetic resonance imaging and cadaver dissection in Korean adult population. MR data were scanned with T1-weighted, mid-sagittal magnetic resonance imaging of 248 living persons (mean age, 42.3±16.0 years; range, 12-85 years) and cadaver data were collected by dissections of 118 cadavers (mean age, 56.0±14.9 years; range, 16-94 years). The mean level of conus tip was found to be at the middle third of 1st lumbar vertebra (range, lower third T12 - lower third L2) from magnetic resonance imaging study and the upper third of 2nd lumbar vertebra (range, lower third T12 - lower third L3) from cadaver dissection study. The tip level of conus medullaris from magnetic resonance imaging study was higher than that from cadaver dissection study (p<0.05).
Maximum star densities

Given an integer k ≧ 2 and a real number γ ∈ [0; 1], which graphs of edge density γ contain the largest number of k-edge stars? For k = 2 Ahlswede and Katona proved that asymptotically there cannot be more such stars than in a clique or in the complement of a clique (depending on the value of γ). Here we extend their result to all integers k ≧ 2.
Teleseismic and strong-motion source spectra from two earthquakes in eastern Taiwan

The 20 May and 14 November 1986 Hualien earthquakes occurred in a seismically active region of Taiwan. Locally determined focal mechanisms and aftershock patterns from the Taiwan Telemetered Seismographic Network indicate that both earthquakes occurred on steeply dipping reverse faults that trend NNE. This agrees with teleseismic first-motion data for the May event but not for the November event. This discrepancy is due to a moderate foreshock before the November event. Surface-wave analysis gives a solution for the November event of: dip 57°, rake 100°, and strike 43°, which is similar to the locally reported focal mechanism. The seismic moment of the November event is M_0 = 1.7 × 10^(27) dynecm and the magnitudes determined from WWSSN data are m_b = 6.4, M_s = 7.3. Teleseismic source spectra show that the two events also have similar spectral signatures above 0.15 Hz. Reference acceleration spectra are computed from the average teleseismic source spectra and compared to the averaged acceleration spectra computed from strong-motion stations for both events. Correlations between the spectral amplitudes of the strong-motion spectra obtained from the main portion of the SMART 1 array and the teleseismically estimated reference spectra are poor above 0.2 Hz. Data from the hard-rock site situated outside of the basin indicates that amplification of the ground motion between 0.17-1.7 Hz is due to the alluvial valley where the SMART 1 array is located. The amplitude of the observed spectrum is five times the reference spectrum at the hard-rock site. This is consistent with similar observations from the 1985 Michoacan and 1983 Akita-Oki earthquakes. The analysis of these and more teleseismic and strong-motion records will lead to a better understanding of the relationship between their spectra.
The Wageningen Lowland Runoff Simulator ( WALRUS ) : application to the Hupsel Brook catchment and Cabauw polder

The Wageningen Lowland Runoff Simulator (WALRUS) is a new parametric (conceptual) rainfall-runoff model which accounts explicitly for processes that are important in lowland areas, such as groundwater-unsaturated zone coupling, wetness-dependent flowroutes, groundwater– surface water feedbacks, and seepage and surface water supply (see companion paper by Brauer et al., 2014). Lowland catchments can be divided into slightly sloping, freely draining catchments and flat polders with controlled water levels. Here, we apply WALRUS to two contrasting Dutch catchments: the Hupsel Brook catchment and Cabauw polder. In both catchments, WALRUS performs well: Nash–Sutcliffe efficiencies obtained after calibration on one year of discharge observations are 0.87 for the Hupsel Brook catchment and 0.83 for the Cabauw polder, with values of 0.74 and 0.76 for validation. The model also performs well during floods and droughts and can forecast the effect of control operations. Through the dynamic division between quick and slow flowroutes controlled by a wetness index, temporal and spatial variability in groundwater depths can be accounted for, which results in adequate simulation of discharge peaks as well as low flows. The performance of WALRUS is most sensitive to the parameter controlling the wetness index and the groundwater reservoir constant, and to a lesser extent to the quickflow reservoir constant. The effects of these three parameters can be identified in the discharge time series, which indicates that the model is not overparameterised (parsimonious). Forcing uncertainty was found to have a larger effect on modelled discharge than parameter uncertainty and uncertainty in initial conditions.
Improve the Quality of Important Sentences for Automatic Text Summarization

There are sixteen known methods for automatic text summarization. In our study we will use Natural language processing NLP within hybrid approach that will improve the quality of important sentences selection by thickening sentence score along with reducing the number of long sentences that would be included in the final summarization. The based approach which is used in the algorithm is Term Occurrences.
Predicting Uncertainty in Financial Markets

Value at Risk has over the last couple of decades become one of the most widely used measures of market risk. Several methods to compute this measure have been suggested. In this paper, we evaluate the use of the GARCH(1,1)-, EGARCH(1,1)and the APARCH(1,1) model for estimation of this measure under the assumption that the conditional error distribution is normally-, t-, skewed tand NIGdistributed respectively. For each model, the 95% and 99% one-day Value at Risk is computed using rolling out-of-sample forecasts for three equity indices. These forecasts are evaluated with Kupiec ́s test for unconditional coverage test and Christoffersen’s test for conditional coverage. The results imply that the models generally perform well. The APARCH(1,1) model seems to be the most robust model. However, the GARCH(1,1) and the EGARCH(1,1) models also provide accurate predictions. The results indicate that the assumption of conditional distribution matters more for 99% than 95% Value at Risk. Generally, a leptokurtic distribution appears to be a sound choice for the conditional distribution.