Miracle-dz/UniFAR-FTUs huggingface dataset:
Przywiązanie w okresie niemowlęcym i stres rodzicielski a problemy emocjonalne i zaburzenia zachowania u dzieci w wieku 3 lat

Cel. Analiza wplywu typu przywiązania w okresie niemowlecym oraz stresu rodzicielskiego na problemy emocjonalne i zaburzenia zachowania u malych dzieci. Plan badania. Badana proba obejmowala 606 diad niemowle–matka, ktore wziely udzial w populacyjnym badaniu kohortowym, przeprowadzonym w Holandii. Przywiązanie (wieź dziecko–matka) oceniano przy uzyciu procedury sytuacji obcej (Strange Situation), gdy dzieci mialy 14 miesiecy. Kiedy dzieci osiągnely wiek 18 miesiecy, zmierzono poziom stresu rodzicielskiego przy uzyciu holenderskiej wersji Skali stresu rodzicielskiego (Parenting Stress Index). Wreszcie, gdy dzieci mialy 3 lata, ich matki i ojcowie wypelniali Liste zachowan dzieciecych (Child Behavior Checklist). Wyniki. Przywiązanie w okresie niemowlecym oslabialo wplyw stresu rodzicielskiego na problemy emocjonalne i zaburzenia zachowania u dzieci. Stres rodzicielski byl powiązany z wyzszym poziomem zachowan agresywnych i zaburzen uwagi u dzieci z pozabezpiecznym stylem przywiązania, ale nie u tych z bezpiecznym stylem. Ponadto wyzszy poziom stresu rodzicielskiego wiązal sie z wiekszą liczbą problematycznych zachowan wycofanych u dzieci z pozabezpiecznym stylem przywiązania, zwlaszcza tych z ambiwalentnym stylem i przywiązaniem zdezorganizowanym. Wnioski. U dzieci z pozabezpiecznym stylem wyzszy poziom stresu rodzicielskiego jest powiązany z wiekszą czestością wystepowania problematycznych zachowan wycofanych (zaburzen internalizacyjnych) oraz zachowan agresywnych i zaburzen uwagi (zaburzen eksternalizacyjnych). Bezpieczny styl przywiązania w okresie niemowlecym jest buforem oslabiającym wplyw stresu rodzicielskiego na problemy emocjonalne i zaburzenia zachowania u dzieci.
THIS MONTH'S ARTICLE: Early Life Management and Long-term Productivity of Dairy Calves

The topic of calves and calf management traditionally involves discussions about dry cow management, colostrum, scours, rumen development and weaning. In more recent times the topic of “intensified feeding or accelerated growth” has become a focus of discussion and some debate and the concept has been applied in both research and on farm in various ways. Much of this discussion involves differences in perspectives about how to best manage the nutrition and nutrient intake and weaning of the calf. There are teleological arguments for providing a greater supply of nutrients from milk or milk replacer, e.g. what would the dam provide, and there are also arguments for improving welfare status by following the same concept (Jasper and Weary, 2002; de Paula Vieira et al., 2008). At the recently held 15 American Dairy Science Association Discover Conference on Calves (Roanoke, VA) the overwhelming consensus of the participants was that we need to feed calves for a specific rate of daily gain, much higher than currently considered, and that is significant change in industry perspective.
Efficient analog test methodology based on adaptive algorithms

This papers describes a new, fast and economical methodology to test linear analog circuits based on adaptive algorithms. To the authors knowledge, this is the first time such technique is used to test analog circuits, allowing complete fault coverage. The paper presents experimental results showing easy detection of soft, large-deviation and hard faults, with low cost instrumentation. Components variations from 5% to 1% have been detected, as the comparison parameter (output error power) varied from 300% to 20%.
Akt regulates centrosome migration and spindle orientation in the early Drosophila melanogaster embryo

Correct positioning and morphology of the mitotic spindle is achieved through regulating the interaction between microtubules (MTs) and cortical actin. Here we find that, in the Drosophila melanogaster early embryo, reduced levels of the protein kinase Akt result in incomplete centrosome migration around cortical nuclei, bent mitotic spindles, and loss of nuclei into the interior of the embryo. We show that Akt is enriched at the embryonic cortex and is required for phosphorylation of the glycogen synthase kinase-3β homologue Zeste-white 3 kinase (Zw3) and for the cortical localizations of the adenomatosis polyposis coli (APC)–related protein APC2/E-APC and the MT + Tip protein EB1. We also show that reduced levels of Akt result in mislocalization of APC2 in postcellularized embryonic mitoses and misorientation of epithelial mitotic spindles. Together, our results suggest that Akt regulates a complex containing Zw3, Armadillo, APC2, and EB1 and that this complex has a role in stabilizing MT–cortex interactions, facilitating both centrosome separation and mitotic spindle orientation.
An evaluation of contemporary heterogeneous computing platforms for data intensive applications

The end of Dennard scaling is forcing innovation in computing architectures; the old regime, where exponential benefits accrued by using a newer process technology, no longer holds. One path of innovation is to exploit heterogeneous platforms, and match applications to the platforms on which they execute efficiently. Heterogeneous processing in the server domain is a big hardware/software design space. As a result, research that looks narrowly at one or two applications, and hardware options does not usually generalize. In this work, we present a broad comparison of a variety of hardware accelerators and applications. We investigate an Intel Xeon E5-2620, ARM Cortex A15, Nvidia Tegra Jetson K1, Nvidia Titan X, Intel Xeon Phi coprocessor, and Xilinx Zynq FPGA, and evaluate how efficiently they execute key data mining applications. We focus on energy efficiency, but also reflect on the developer effort required to utilize each platform. At the highest level, the results mirror conventional wisdom: FPGAs are about as efficient as GPUs which are more efficient than low-power processors. Developer effort is the exact opposite; processors are the easiest to program, followed by GPUs and then FPGAs. If the producers of more energy-efficient compute platforms (FPGAs, GPUs) wish to be ubiquitous in the datacenter, they (still) must work on improving their programming environments.
A sensor-independent approach to RBPF SLAM - Map Match SLAM applied to visual mapping

In this paper, we present the application of our generic, sensor-independent Map Match SLAM framework to visual mapping. In our previous work , we have introduced the map match SLAM approach for mapping with sonar range readings: Extending the grid-based Rao-Blackwellized particle filter SLAM approach, in Map Match SLAM, a local map is maintained by each particle in addition to the global map. The local map is used to represent the most recent observations, and weighting of the particles is done based on the compliance of the local and the global map. In this paper, we show how RBPF SLAM can also be applied for mapping and path reconstruction with a stereo camera or a single monocular camera, respectively. By mapping with completely different sensors such as sonar, stereo, or monocular cameras, we prove the wide range applicability of RBPF SLAM and our map match SLAM computational framework.
Point-based rigid shape interpolation

Nearly rigid interpolation has been shown to generate good interpolation results for both 2D and 3D shape morphing problems [Alexa et al. 2000]. The key to success of most proposed techniques like that of Alexa, et al. is generating a high-quality compatible triangulations of the source and target shapes in 2D and compatible tetrahedralizations in 3D. A number of good methods are available for the 2D case, however, it is more difficult in 3D. The 3D rigid morphing example demonstrated by Alexa et al. [2000] has, by construction, a fairly trivial compatible tetrahedralization; however, for real-world cases, where the inputs are typically 3D meshes without a priori tetrahedralizations, the task is much more difficult.
Reasoning about program interactions in the presence of mobility

Mobile computing is emerging as an important new area which has the potential to reshape our thinking about distributed computing. Mobility has far-reaching implications on what designers and users can assume about communication patterns, resource availability, and application behaviors as components move from one location to another while joining or leaving groups of other components in their vicinity. The design of modular and dependable systems for such environments will be extremely challenging. Formal methods have an important role to play in the midst of these developments both in terms of helping the research community better understand fundamental issues germane to mobile computing and by providing practical solutions to difficult design problems. Existing models of concurrency solidify and make explicit the assumptions made about distributed systems, and equip the designer with a precise vocabulary and tools for reasoning. However, most of these existing models assume a fixed pattern of connectivity among distributed components and are not adequate for reasoning about concurrent, mobile systems. This dissertation presents two approaches to specifying and reasoning about concurrent, mobile systems, both based on an existing model of concurrency. Each adds novel constructs to model component location and location-dependent interactions among components. The first approach limits such interaction to pairs of components, while the second generalizes the notion of interaction to include arbitrary groups of components and is capable of expressing-some real-time properties. The resulting models have potential applications in the design of concurrent, mobile systems at various levels of abstraction. At the lowest level, they can facilitate reasoning about protocols for routing messages among mobile hosts, whether those hosts are connected to a fixed infrastructure such as the Internet or roam freely in an ad-hoc network consisting only of mobile components. At higher levels of abstraction, the models can express the weaker consistency semantics evident in emerging databases and filesystems that tolerate disconnected operation.
Architecture Design of Shape-Adaptive Discrete Cosine Transform and Its Inverse for MPEG-4 Video Coding

This paper presents efficient VLSI architectures of the shape-adaptive discrete cosine transform (SA-DCT) and its inverse transform (SA-IDCT) for MPEG-4. Two of the challenges encountered during the exploitation of more efficient architectures for the SA-DCT and SA-IDCT are addressed. One challenge is to handle the architectural irregularity due to the shape-adaptive nature. The other one is to provide acceptable throughput using minimal hardware. In the algorithm-level optimization, this work exploits the numerical properties found in the transform matrices of various lengths, and derives a fine-grained zero-skipping scheme for the IDCT which can perform 22.6% more zero-skipping than the common vector-based coarse-grained zero-skipping scheme does. In the architecture-level design, the 1-D variable-length DCT/IDCT architectures designed on the basis of the numerical properties are proposed. An auto-aligned transpose memory that aligns the data of different lengths is also incorporated. In addition, a zero-index table is also included in the transpose memory to support the fine-grained zero-skipping in the SA-IDCT. The synthesized designs of the SA-DCT and SA-IDCT are implemented using UMC 0.18-mum technology. The SA-DCT architecture has 26 635 gates, and its average cycle-throughput is 0.66 pixels/cycle, which is comparable to other proposed architectures. On the other hand, the SA-IDCT architecture has 29 960 gates, and its cycle-throughput is 6.42 pixels/cycle. While decoding for CIF@30FPS, the SA-IDCT is clocked at 0.7 MHz, and the power consumption is 0.14 mW. Both the throughput and power consumption of the proposed SA-IDCT architecture are an order better than those of the existing SA-IDCT architectures.
Comparative analysis of Indian wheat seed classification

In this study 2-layer ANN (artificial neural network) a linear classifier and k-NN (k-nearest neighbor) a non-linear classifier were applied for identification and classification of images of four Indian wheat seed species into four classes of wheat seeds on the basis of their varieties. 120 images (40 images of four classes, 10 images of each class) from three different places were taken under same illumination condition. These images were cropped to 320×240 resolution and converted into gray scale images. We had extracted 131 texture features of wheat species using various textural algorithms which contain LBP(local binary pattern),LSP(local similarity pattern),LSN(local similarity numbers), GLCM(gray level co-occurrence matrix),GLRM(gray level run length matrix) matrices of gray image. The feature group which gave highest percentage of accuracy in classification was determined. The determined feature group showed maximum average accuracy of 100% for inter-class classification and 66.68% for intra class classification when it was classified linearly i.e. using ANN. On the other hand it gave 85% of average accuracy for inter-class classification and 39% for intra class classification with non-linear classification method, using k-nearest neighbor (k-NN). Thus, results shows the linear classifiers are outperformed to non-linear one as features are linear in nature.
Character Stream Parsing of Mixed-lingual Text

In multilingual countries text-to-speech synthesis systems often have to deal with sentences containing inclusions of multiple other languages in form of phrases, words or even parts of words. Such sentences can only be correctly processed using a system that incorporates a mixed-lingual morphological and syntactic analyzer. A prerequisite for such an analyzer is the correct identification of word and sentence boundaries. Traditional text analysis applies to both problems simple heuristic methods within a text preprocessing step. These methods, however, are not reliable enough for analyzing mixed-lingual sentences. This paper presents a new approach towards word and sentence boundary identification for mixed-lingual sentences that bases upon parsing of character streams. Additionally this approach can also be used for word identification in languages without a designated word boundary symbol like Chinese or Japanese. To date, this mixed-lingual text analysis supports any mixture of English, French, German, Italian and Spanish.
A DNA nanoswitch-controlled reversible nanosensor

We present a conceptually new reversible nanosensor regulated by a DNA nanoswitch. This system is not only responsive to external stimuli (e.g. ATP) but also can be reversibly switched between ‘OFF’ and ‘ON’ states via toehold mediated strand displacement reactions. It functions like a molecular net woven by DNA to capture or release the target molecules. As a proof-of-principle experiment, ATP is here chosen as the model to demonstrate our new strategy, which holds great promise for applications such as switchable DNA nanomachines and nanocarriers for drug delivery.
Map updation using image registration for different sensors by camera calibration

Image registration is the basic step for mosaicing. Image mosaicing is used in many applications like map updating, locating a target, and navigation. Registering the overlap part of the same scene using the same sensor is traditionally used for creating the mosaic. But registering the overlap part of the same scene using different sensors and different times is a challenging problem. Strictly conventional registration methods like SIFT (Scale Invariant Feature Transform) may fail to register correctly if the images are from different sensors or significantly different camera parameters of the same sensor (e.g. focal lengths). In our approach, we overcome this limitation by using the knowledge of intrinsic camera parameters together with new registration methods to help register the features between the two overlapping images. Our approach is useful especially in registering the images taken by different sensors at different times.
Robust Tropospheric Warming Revealed by Iteratively Homogenized Radiosonde Data

Abstract Results are presented from a new homogenization of data since 1959 from 527 radiosonde stations. This effort differs from previous ones by employing an approach specifically designed to minimize systematic errors in adjustment, by including wind shear as well as temperature, by seasonally resolving adjustments, and by using neither satellite information nor station metadata. Relatively few artifacts were detected in wind shear, and associated adjustments were indistinguishable from random adjustments. Temperature artifacts were detected most often in the late 1980s–early 1990s. Uncertainty was characterized from variations within an ensemble of homogenizations and used to test goodness of fit with satellite data using reduced chi squared. The meridional variations of zonally aggregated temperature trend since 1979 moved significantly closer to those of the Microwave Sounding Unit (MSU) after data adjustment. Adjusted data from 5°S to 20°N continue to show relatively weak warming, but the error is.
Novel applications of MOEMS display and imaging

Significant progresses have been made in MOEMS for display, imaging, telecommunication, and bioinstrumentation applications. This talk will first provide an overview of the recent advances in micromirror technologies. Then it will discuss three novel applications using MEMS micromirrors. First, a large port count wavelength-selective switch using a one-dimensional array of two-axis analog micromirrors will be described. Then the fabrication and packaging of two-axis micromirrors for in vivo endoscopic optical coherence tomography (OCT) imaging will be presented. Finally a new "optoelectronic tweezers" for manipulating microparticles and biological cells using direct images of MOEMS spatial light modulators will be described.
Carrier effects on biological activity of amphotericin B

Amphotericin B (AmB), the drug of choice for the treatment of most systemic fungal infections, is marketed under the trademark Fungizone, as an AmB-deoxycholate complex suitable for intravenous administration. The association between AmB and deoxycholate is relatively weak; therefore, dissociation occurs in the blood. The drug itself interacts with both mammalian and fungal cell membranes to damage cells, but the greater susceptibility of fungal cells to its effects forms the basis for its clinical usefulness. The ability of the drug to form stable complexes with lipids has allowed the development of new formulations of AmB based on this property. Several lipid-based formulations of the drug which are more selective in damaging fungal or parasitic cells than mammalian cells and some of which also have a better therapeutic index than Fungizone have been developed. In vitro investigations have led to the conclusion that the increase in selectivity observed is due to the selective transfer of AmB from lipid complexes to fungal cells or to the higher thermodynamic stability of lipid formulations. Association with lipids modulates AmB binding to lipoproteins in vivo, thus influencing tissue distribution and toxicity. For example, lipid complexes of AmB can be internalized by macrophages, and the macrophages then serve as a reservoir for the drug. Furthermore, stable AmB-lipid complexes are much less toxic to the host than Fungizone and can therefore be administered in higher doses. Experimentally, the efficacy of AmB-lipid formulations compared with Fungizone depends on the animal model used. Improved therapeutic indices for AmB-lipid formations have been demonstrated in clinical trials, but the definitive trials leading to the selection of an optimal formulation and therapeutic regimen have not been done.
Capacitive Model and S-Parameters of Double-Pole Four-Throw Double-Gate RF CMOS Switch

In this paper, we have analyzed the Double-Pole Four-Throw Double-Gate Radio-Frequency Complementary Metal-Oxide-Semiconductor (DP4T DG RF CMOS) switch using S-parameters for 1 GHz to 60 GHz of frequency range. DP4T DG RF CMOS switch for operation at high frequency is also analyzed with its capacitive model. The re-sults for the development of this proposed switch include the basics of the circuit elements in terms of capacitance, re-sistance, impedance, admittance, series equivalent and parallel equivalent of this network at different frequencies which are present in this switch whatever they are ON or OFF.
Modeling dynamic adaptations using augmented feature models

Dynamic Software Product Lines (DSPLs) is an emerging trend that aims at developing dynamically adaptive software products on the basis of Software Product Lines (SPL) techniques. SPL are design time techniques that aim at building families of related products, by making a distinction between a problem space and a solution space. In the former, artifacts correspond to variabilities and features whereas in the latter they correspond to components (or aspects, objects.). DSPLs aim at bringing design time variabilities to runtime. In this article we introduce the Model for Variable Refinement Processes (MVRP), that aims at building DSPLs on the basis of a reconsideration of the semantic of Feature Models and leads to an enhanced definition of adaptation mechanisms and plans.
Eosinophilic Gastrointestinal Diseases: Review and Update

Eosinophilic gastrointestinal disorders (EGIDs) are a progressively more frequent diverse group of intestinal diseases. The intention of this paper is to present the newest developments in the care of patients with EGIDs and to sum up a rising literature defining the clinical features and mechanistic elements of eosinophils and their intricate associations with the gastrointestinal tract. Clinicians ought to stay sensitive to EGIDs as a diagnostic likelihood for patients with general gastrointestinal symptoms. Further research is warranted to establish various methods leading to dysfunction coupled with eosinophilic gastrointestinal inflammation.
The effect of medical therapy on IOP control in Ghana.

BACKGROUND To investigate IOP control following twelve months of continuous medical therapy in Ghana. METHODS This retrospective case series included 163 glaucoma patients diagnosed at a referral eye center between 1996 and 2006. Information collected included age, gender, IOP at presentation, six months and one year post treatment and types of anti-glaucoma medications prescribed. Optimal IOP control was defined according to results from the Advanced Glaucoma Intervention Study (AGIS), which demonstrated arrest of visual field progression in patients with IOP < 18 mmHg at all visitations: Level 1 (post-treatment IOP ≤ 21 mmHg); Level 2 (≤ 18 mmHg) and level 3 (≤ 16 mmHg). The principal outcome measure was the achievement of IOP <18 mmHg at six months and twelve month visitations. RESULTS One hundred sixty three patients were analyzed. These included 68 males (41.7%) and 95 females (58.3%). The mean age was 57±16 (median 59 years; range 7 - 95 years). There was no significant difference in age (p=0.35) or mean IOP (p=0.08) between genders. The mean pre-treated IOP of 31.9±8.9 mmHg significantly decreased to 21.3±6.6 mmHg at 6 months (p=0.001), with 57.4% of eyes at Level 1 IOP control, 25.3% at Level 2 and 15.4% at Level 3 and decreased further at 12 months to 20.7±6.9 mmHg (p=0.48) with 69.7% of eyes at Level 1, 34.4% at Level 2, and 12.4% at Level 3. CONCLUSIONS Current medical regimen is insufficient to reduce IOP to target levels as defined in the Advanced Glaucoma Intervention Study.