Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Core-Loss Calculation for Magnetic Components Employed in Power Electronic Systems

In modern power electronic systems, voltages across inductors or transformers generally show rectangular shapes, including periods of zero voltage. In the stage of zero applied voltage (constant flux), core losses are not necessarily zero. At the beginning of a period of constant flux, losses still occur in the material. This is due to relaxation processes. A physical explanation about magnetic relaxation is given and a new core-loss modeling approach that takes relaxation effects into consideration is introduced. The new loss model is called improved-improved generalized Steinmetz equation and it has been verified experimentally.
Performance Analysis of Hybrid Multilevel DWT Coding for Optimum Quantization Factor Determination

: Image compression defines as reducing the amount of data required to represent digital image. This paper describes a hybrid approach of image compression technique by combining discrete wavelet transform and discrete cosine Transform together for obtaining high quality image suitable for storage applications. We have used a wavelet base image coding that utilizes benefits of discrete cosine transform on specific sub bands of wavelet and compared the effects of wavelet analysis and representation , compression ratio, image content and resolution to image quality. We enhanced our hybrid approach by the addition of Huffman coding. Subjective and objective evaluation of image has been performed by using peak signal to noise ratio and compression ratio.
Shape Memory Polymers Containing Higher Acrylate Content Display Increased Endothelial Cell Attachment

Shape Memory Polymers (SMPs) are smart materials that can recall their shape upon the application of a stimulus, which makes them appealing materials for a variety of applications, especially in biomedical devices. Most prior SMP research has focused on tuning bulk properties; studying surface effects of SMPs may extend the use of these materials to blood-contacting applications, such as cardiovascular stents, where surfaces that support rapid endothelialization have been correlated to stent success. Here, we evaluate endothelial attachment onto the surfaces of a family of SMPs previously developed in our group that have shown promise for biomedical devices. Nine SMP formulations containing varying amounts of tert-Butyl acrylate (tBA) and Poly(ethylene glycol) dimethacrylate (PEGDMA) were analyzed for endothelial cell attachment. Dynamic mechanical analysis (DMA), contact angle studies, and atomic force microscopy (AFM) were used to verify bulk and surface properties of the SMPs. Human umbilical vein endothelial cell (HUVEC) attachment and viability was verified using fluorescent methods. Endothelial cells preferentially attached to SMPs with higher tBA content, which have rougher, more hydrophobic surfaces. HUVECs also displayed an increased metabolic activity on these high tBA SMPs over the course of the study. This class of SMPs may be promising candidates for next generation blood-contacting devices.
A simple way of improving traditional IR methods by structuring queries

The traditional vector-space model of information retrieval (IR) treats a query as a structureless whole, a "bag of words", thus failing to capture many finer points. We propose an algorithm that breaks a query up into smaller units, does retrieval on these, and then combines the results, thereby respecting some of the query structure. Experimental results for a standard test collection are given and discussed.
Organised chaos in late specialisation team sports: Weekly training loads of elite adolescent rugby union players.

The aim of this study was to quantify the mean weekly training load (TL) of elite adolescent rugby union players participating in multiple teams, and examine the differences between playing positions. Twenty elite male adolescent rugby union players (17.4 ± 0.7 years) were recruited from a regional academy and categorised by playing position; forwards (n=10) and backs (n=10). Global positioning system and accelerometer microtechnology was used to quantify external TL, and session-rating of perceived exertion (sRPE) was used to quantify internal TL during all sessions throughout a 10-week in-season period. A total of 97 complete observations (5 ± 3 weeks per participant) were analysed, and differences between-positions were assessed using Cohen's d effect sizes (ES) and magnitude-based inferences. Mean weekly sRPE was 1217 ± 364 AU (between-subject coefficient of variation (CV) = 30%), with a total distance (TD) of 11629 ± 3445 m (CV= 30%), and PlayerLoad (PL) of 1124 ± 330 AU (CV= 29%). Within-subject CV ranged between 5-78% for sRPE, 24-82% for TD, and 19-84% for PL. Mean TD (13063 ± 3933 vs. 10195 ± 2242 m), and PL (1246 ± 345 vs. 1002 ± 279 AU) were both likely greater for backs compared to forwards (moderate ES), however differences in sRPE were unclear (small ES). Although mean internal TLs and volumes were low, external TLs were higher than previously reported during pre-season and in-season periods in senior professional players. Additionally, the large between-subject and within-subject variation in weekly TL suggests players participate in a chaotic training system.
Efficient generation of k-directional assembly sequences

Let S be a collection of n rigid bodies in 3-space, and let D be a set of k directions in 3-space, where k is a small constant. A k-directional assembly sequence for S, with respect to D, is a linear ordering (s{sub 1},., s{sub n}) of the bodies in S, such that each si can be moved to infinity by translating it in one of the directions of D and without intersecting any s{sub j}, for j > i. We present an algorithm that computes a k-directional assembly sequence, or decides that no such sequence exists, for a set of polyhedra. The algorithm runs in O(km{sup 4/3+{epsilon}}) time, where m is the total number of vertices of the polyhedra. We also give an algorithm for {open_quote}k-directional{close_quote} rotational motions.
The null ritual : What you always wanted to know about significance testing but were afraid to ask

One of us once had a student who ran an experiment for his thesis. Let us call him Pogo. Pogo had an experimental group and a control group and found that the means of both groups were exactly the same. He believed it would be unscientifi c to simply state this result; he was anxious to do a signifi cance test. e result of the test was that the two means did not diff er signifi cantly, which Pogo reported in his thesis. In 1962, Jacob Cohen reported that the experiments published in a major psychology journal had, on average, only a 50 : 50 chance of detecting a medium-sized eff ect if there was one. at is, the statistical power was as low as 50%. is result was widely cited, but did it change researchers’ practice? Sedlmeier and Gigerenzer (1989) checked the studies in the same journal, 24 years later, a time period that should allow for change. Yet only 2 out of 64 researchers mentioned power, and it was never estimated. Unnoticed, the average power had decreased (researchers now used alpha adjustment, which shrinks power). us, if there had been an eff ect of a medium size, the researchers would have had a better chance of fi nding it by throwing a coin rather than conducting their experiments. When we checked the years 2000 to 2002, with some 220 empirical articles, we fi nally found 9 researchers who computed the power of their tests. Forty years after Cohen, there is a fi rst sign of change. Editors of major journals such as A. W. Melton (1962) made null hypothesis testing a necessary condition for the acceptance of papers and made small p-values the hallmark of excellent experimentation. e Skinnerians found themselves forced to start a new journal, the Journal of the Experimental Analysis of Behavior, to publish their kind of experiments (Skinner, 1984, p. 138). Similarly, one reason for launching the Journal of Mathematical Psychology was to escape the editors’ pressure to routinely perform null hypothesis testing. One of its founders, R. D. Luce (1988), called this practice a “wrongheaded view about what constituted scientifi c progress” and “mindless hypothesis testing in lieu of doing good research: measuring eff ects, constructing substantive theories of some depth, and developing probability models and statistical procedures suited to these theories” (p. 582).
Head and neck keloid management: A retrospective early review on a new approach using surgical excision, platelet rich plasma and in office superficial photon X-ray radiation

Introduction: The objective of this retrospective study was to evaluate the efficacy of our combination therapy protocol for head and neck keloid treatment. Methods: We treated keloids using surgical excision, platelet-rich plasma and post-operative in office superficial photon X-ray radiation therapy. Results: No recurrences determined. Two of 21 keloids displayed poor results. Conclusion: Surgical excision combined with platelet rich plasma and postoperative in office superficial radiation therapy achieved a 100% non-recurrence rate at 4th to 11th month follow-up. This protocol appears to be a viable alternative in the management of keloids.
Superconducting Super Collider

The Standard Model of elementary particle physics organizes our knowledge of the basic constituents and interactions, and achieves a wide-ranging synthesis of elementary phenomena, but leaves unanswered some fundamental questions. Important clues to a more complete understanding are to be found on the energy scale of 1 TeV, where the kinship between the weak and electromagnetic interactions will be illuminated. Exploration of the 1-TeV scale is an essential goal for the 1990s.
Enhanced performance for LMMSE equalizer with factor graphs

In this paper, based on the application of the sum-product (SP) algorithm to factor graphs (FGs), we investigate two optimal equalization algorithms, i.e., unconstrained linear equalization and constrained linear equalization for intersymbol interference (ISI) channels, both of which use the criterion of LMMSE. From simulations we know, the MSE performance of these two algorithms is much better than that of the conventional adaptive LMS algorithm based on filters, especially at high SNR However, at low SNR this improvement is less obvious. So an improved algorithm is introduced in order to conquer this deficiency, simulation results show that the proposed algorithm can further achieve a remarkable reduction in MSE at low SNR.
OPTIMIZED PRUNE BASED DATA MINING ( OPBDM ) FOR DISTRIBUTED DATABASES : AN ADAPTIVE APPROACH

Data mining is a vital solution approach for applications such as text based mining; web based mining, supporting data analysis, data visualization and data design tasks. It serves as primary, as well as major roles in various domains and plays a complementary role in others by increasing traditional data mining techniques from numerical data analysis, data statistics and machine learning. Modern mining algorithm concentrates mainly on developing, building and using specific cross platforms, domain driven algorithms and models. In such cases various algorithms are designed in which very few are repeatable in real time. Countless outlines are mined and major proportion of them is of no specific interest for business use. The end user generally cannot easily predict or understand to take them over for business values and daily use. Thorough efforts are mandatory for promoting the act of knowledge discovery in real world decisions and decision supports. An optimized method has been proposed for pruning based data mining to handle the issues stated above. In optimized prune based data mining (OPBDM), Knowledge intelligence is incorporated into mining process along with models and a problem solving system is framed as the gallery for incorporating knowledge discovery, decision making, data pruning and delivery. Based on related work(Prune tree), this paper presents an overview of deriving prunes for multiple data sets, decisions and decision supports, theoretical framework for pruned data(OPBDM)techniques, case studies and open issues. Experimental results and future work enhancement have been demonstrated.
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation

We address plausible hole filling in depth images in a computationally lightweight methodology that leverages recent advances in semantic scene segmentation. Firstly, we perform such segmentation over a co-registered color image, commonly available from stereo depth sources, and non-parametrically fill missing depth values based on a multipass basis within each semantically labeled scene object. Within this formulation, we identify a bounded set of explicit completion cases in a grammar inspired context that can be performed effectively and efficiently to provide highly plausible localized depth continuity via a case-specific non-parametric completion approach. Results demonstrate that this approach has complexity and efficiency comparable to conventional interpolation techniques but with accuracy analogous to contemporary depth filling approaches. Furthermore, we show it to be capable of fine depth relief completion beyond that of both contemporary approaches in the field and computationally comparable interpolation strategies.
Underwater sensor networks: applications, advances and challenges

This paper examines the main approaches and challenges in the design and implementation of underwater wireless sensor networks. We summarize key applications and the main phenomena related to acoustic propagation, and discuss how they affect the design and operation of communication systems and networking protocols at various layers. We also provide an overview of communications hardware, testbeds and simulation tools available to the research community.
Animal models for bone tissue engineering and modelling disease

ABSTRACT Tissue engineering and its clinical application, regenerative medicine, are instructing multiple approaches to aid in replacing bone loss after defects caused by trauma or cancer. In such cases, bone formation can be guided by engineered biodegradable and nonbiodegradable scaffolds with clearly defined architectural and mechanical properties informed by evidence-based research. With the ever-increasing expansion of bone tissue engineering and the pioneering research conducted to date, preclinical models are becoming a necessity to allow the engineered products to be translated to the clinic. In addition to creating smart bone scaffolds to mitigate bone loss, the field of tissue engineering and regenerative medicine is exploring methods to treat primary and secondary bone malignancies by creating models that mimic the clinical disease manifestation. This Review gives an overview of the preclinical testing in animal models used to evaluate bone regeneration concepts. Immunosuppressed rodent models have shown to be successful in mimicking bone malignancy via the implantation of human-derived cancer cells, whereas large animal models, including pigs, sheep and goats, are being used to provide an insight into bone formation and the effectiveness of scaffolds in induced tibial or femoral defects, providing clinically relevant similarity to human cases. Despite the recent progress, the successful translation of bone regeneration concepts from the bench to the bedside is rooted in the efforts of different research groups to standardise and validate the preclinical models for bone tissue engineering approaches. Summary: This Review describes the currently used animal models of critical-sized bone defects and the regenerative bone tissue engineering strategies used in these models, as well as the application of bone tissue engineering for the advancement of cancer xenograft models.
Analysis of the political discourse in Spain about school failure on Twitter

Political parties incorporate their public profiles on Twitter as a tool of communication and advertising. School failure has been a recurring theme in this policy agenda. The deep understanding of this complex reality requires a critical analysis of the media in which it occurs and conveys. This study characterizes this theme—guidelines and underlying intentions of political discourses about school failure in the accounts of the main Spanish political parties with parliamentary representation. It uses critical discourse analysis and grounded theory as a lens to view media and networks, with Twitter as a particular focus. Paying particular attention to systematize the search and seizure of information so as to avoid the volatility of the content, the results suggested that understanding of school failure does not matter: it is ignored or is used as a weapon to justify the party's policies and to discredit those of others political parties. Discourse on Twitter offers a highly ideological approach to a characterization of school failure from the simplification of the figures and accompanying visions of school failure.
The Effectiveness of Online Sponsored Search from Search Users ’ Perspective

With the explosive growth of information available on the Web, more and more users adopt search engines to collection information on the internet. Meanwhile, sponsored search has become one of the most popular forms of Internet advertising because of its effectiveness and feasibility. However, it remains questions to us whether the sponsored search results become obstacles in users' information acquisition process. With analysis into large scale Web user access logs, we obtained several Chinese commercial search engines' sponsored search statistics. We look into users' interaction behavior with sponsored search results. Our conclusion is that as a kind of advertising, sponsored search results can also meet users’ information need as ordinary results do. We also found several factors that affect users’ clicks on sponsored search results. To the best of our knowledge, this is the first study that uses Web access logs to estimate the effectiveness of sponsored search advertising.
Spring phenology at different altitudes is becoming more uniform under global warming in Europe

Under current global warming, high‐elevation regions are expected to experience faster warming than low‐elevation regions. However, due to the lack of studies based on long‐term large‐scale data, the relationship between tree spring phenology and the elevation‐dependent warming is unclear. Using 652k records of leaf unfolding of five temperate tree species monitored during 1951–2013 in situ in Europe, we discovered a nonlinear trend in the altitudinal sensitivity (SA, shifted days per 100 m in altitude) in spring phenology. A delayed leaf unfolding (2.7 ± 0.6 days per decade) was observed at high elevations possibly due to decreased spring forcing between 1951 and 1980. The delayed leaf unfolding at high‐elevation regions was companied by a simultaneous advancing of leaf unfolding at low elevations. These divergent trends contributed to a significant increase in the SA (0.36 ± 0.07 days 100/m per decade) during 1951–1980. Since 1980, the SA started to decline with a rate of −0.32 ± 0.07 days 100/m per decade, possibly due to reduced chilling at low elevations and improved efficiency of spring forcing in advancing the leaf unfolding at high elevations, the latter being caused by increased chilling. Our results suggest that due to both different temperature changes at the different altitudes, and the different tree responses to these changes, the tree phenology has shifted at different rates leading to a more uniform phenology at different altitudes during recent decades.
Applying processing trees in social psychology

ABSTRACT Processing tree models offer a powerful research framework by which the contributions of cognitive processes to a task can be separated and quantified. The present article reviews a number of applications of processing tree models in the domain of social psychology in order to illustrate the steps to be taken in developing and validating a given model and applying it to the measurement and comparison of processes across experimental and quasi-experimental conditions. Process dissociation models are discussed as special cases of processing tree models. Crucial assumptions of processing tree models are considered and methods to overcome violations of such assumptions are reviewed. In addition to the application of processing tree models for the analysis of social and cognitive processes, their value is also discussed for the elicitation of truthful responses to socially sensitive questions.
Integrating Music Therapy Into Marriage and Family Therapy: Theoretical and Clinical Perspectives

ABSTRACT The integration of music therapy into marriage and family therapy is an under researched and largely unknown to many clinicians in this field. The understanding of musical integration should be expanded upon for others to utilize in their own therapeutic way. Musical integration in many areas of research shed light upon the improvements it can make to areas of post-operative rehabilitation, biological structures of the mind and body, stress reduction techniques, and therapeutic enhancement. Following a trial integration of music into couples therapy, clients participating in this trial integration found multiple positives effects upon themselves and their relational well-being. Musical integration holds the potential for significant change in the lives of many clients seeking therapeutic help from a marriage and family therapist and the ability to be refined through continued understanding and integration.
Curricula and pedagogic potentials when educating diverse students in higher education: students’ Funds of Knowledge as a bridge to disciplinary learning

ABSTRACT With the massification of higher education in a knowledge-driven economy, Western universities have struggled to keep pace with the cultural, linguistic, educational and economic diversity of university students and the complex realities of their lifeworlds. This has generated systemic inequities for diverse or ‘non-traditional’ students, and left academics with pedagogic uncertainty. This paper reports on action research that examined curricular and pedagogic practices that made elite academic codes explicit, and utilised students’ Funds of Knowledge as assets for disciplinary learning, in an Australian university. The action research confirmed the potential of creating bridges between the cultural practices and literacies of diverse students and the acquisition of disciplinary knowledge, facilitating their negotiation of multiple literacies and the successful participation of all students. Institutional arrangements – governed by economic, cultural and socio-political conditions – that enabled and constrained these potentials were highlighted, suggesting areas for negotiation for the pedagogies’ ongoing and wider use.
Feed-Forward Routing for the Wormhole Switching Network-on-Chip of the Kalray MPPA2 Processor

The Kalray MPPA2-256 Bostan processor network-on-chip (NoC) implements wormhole switching without virtual channels and with source routing. As shown in earlier work, this NoC can be configured for guaranteed services by solving a set of linear inequalities based on deterministic network calculus (DNC). However, DNC assumes that a unique route is assigned to each flow and requires that the set of flows be feed-forward. We show that ensuring the feed-forward flows property is equivalent to deterministic deadlock-free routing on a wormhole switching NoC. While routing each flow between its given endpoints, minimal path diversity occurs and the choice of a particular unique path for each flow has an impact on the NoC bandwidth exploitation. We cast this choice as a max-min fairness with unsplittable paths problem, whose instances are solved by enumeration and by an efficient heuristic.