Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of the high‐order symplectic FDTD scheme to the curved three‐dimensional perfectly conducting objects

A high‐order symplectic finite‐difference time‐domain (SFDTD) scheme using the diagonal split‐cell model is presented to analyze electromagnetic scattering of the curved three‐dimensional perfectly conducting objects. On the one hand, for the undistorted cells, the fourth‐order accurate spatial difference is employed. On the other hand, for the completely distorted cells, the treatment of the curved surfaces is based on the diagonal split‐cell model. Finally, for the partially distorted cells, the interpolation strategy is proposed to keep the field components continuous. The numerical experiments suggest that the diagonal SFDTD scheme can obtain more accurate results than both the staircased SFDTD scheme and the traditional diagonal FDTD method. Furthermore, in view of the high numerical stability, the improved symplectic scheme does not need to decrease time increment to comply with the stability criterion. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 931–934, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22306
LAMPLINK: detection of statistically significant SNP combinations from GWAS data

Summary: One of the major issues in genome-wide association studies is to solve the missing heritability problem. While considering epistatic interactions among multiple SNPs may contribute to solving this problem, existing software cannot detect statistically significant high-order interactions. We propose software named LAMPLINK, which employs a cutting-edge method to enumerate statistically significant SNP combinations from genome-wide case–control data. LAMPLINK is implemented as a set of additional functions to PLINK, and hence existing procedures with PLINK can be applicable. Applied to the 1000 Genomes Project data, LAMPLINK detected a combination of five SNPs that are statistically significantly accumulated in the Japanese population. Availability and Implementation: LAMPLINK is available at http://a-terada.github. io/lamplink/. Contact: terada@cbms.k. u-tokyo.ac. jp or sese.jun@aist.go. jp Supplementary information: Supplementary data are available at Bioinformatics online.
Essentially optimal interactive certificates in linear algebra

Certificates to a linear algebra computation are additional data structures for each output, which can be used by a---possibly randomized---verification algorithm that proves the correctness of each output. The certificates are essentially optimal if the time (and space) complexity of verification is essentially linear in the input size <i>N</i>, meaning <i>N</i> times a factor <i>N</i><sup><i>o</i>(1)</sup>, i.e., a factor <i>N</i><sup><i>η</i>(<i>N</i>)</sup> with lim<sub><i>N</i> → ∞</sub> η(<i>N</i>) = 0. We give algorithms that compute essentially optimal certificates for the positive semidefiniteness, Frobenius form, characteristic and minimal polynomial of an <i>n × n</i> dense integer matrix <i>A</i>. Our certificates can be verified in Monte-Carlo bit complexity (<i>n</i><sup>2</sup> log ||<i>A</i>||)<sup>1+o(1)</sup>, where log ||A|| is the bit size of the integer entries, solving an open problem in [Kaltofen, Nehring, Saunders, Proc. ISSAC 2011] subject to computational hardness assumptions. Second, we give algorithms that compute certificates for the rank of sparse or structured <i>n × n</i> matrices over an abstract field, whose Monte Carlo verification complexity is 2 matrix-times-vector products + <i>n</i><sup>1+o(1)</sup> arithmetic operations in the field. For example, if the <i>n × n</i> input matrix is sparse with <i>n</i><sup>1+o(1)</sup> non-zero entries, our rank certificate can be verified in <i>n</i><sup>1+o(1)</sup> field operations. This extends also to integer matrices with only an extra log ||<i>A</i>||<sup>1+o(1)</sup> factor. All our certificates are based on interactive verification protocols with the interaction removed by a Fiat-Shamir identification heuristic. The validity of our verification procedure is subject to standard computational hardness assumptions from cryptography.
Cervicovestibular rehabilitation in sport-related concussion: a randomised controlled trial

Background/aim Concussion is a common injury in sport. Most individuals recover in 7–10 days but some have persistent symptoms. The objective of this study was to determine if a combination of vestibular rehabilitation and cervical spine physiotherapy decreased the time until medical clearance in individuals with prolonged postconcussion symptoms. Methods This study was a randomised controlled trial. Consecutive patients with persistent symptoms of dizziness, neck pain and/or headaches following a sport-related concussion (12–30 years, 18 male and 13 female) were randomised to the control or intervention group. Both groups received weekly sessions with a physiotherapist for 8 weeks or until the time of medical clearance. Both groups received postural education, range of motion exercises and cognitive and physical rest until asymptomatic followed by a protocol of graded exertion. The intervention group also received cervical spine and vestibular rehabilitation. The primary outcome of interest was medical clearance to return to sport, which was evaluated by a study sport medicine physician who was blinded to the treatment group. Results In the treatment group, 73% (11/15) of the participants were medically cleared within 8 weeks of initiation of treatment, compared with 7% (1/14) in the control group. Using an intention to treat analysis, individuals in the treatment group were 3.91 (95% CI 1.34 to 11.34) times more likely to be medically cleared by 8 weeks. Conclusions A combination of cervical and vestibular physiotherapy decreased time to medical clearance to return to sport in youth and young adults with persistent symptoms of dizziness, neck pain and/or headaches following a sport-related concussion. Trial registration number NCT01860755.
50-nm E-mode In0.7Ga0.3As PHEMTs on 100-mm InP substrate with fmax > 1 THz

We have demonstrated 50-nm enhancement-mode (E-mode) In<inf>0.7</inf>Ga<inf>0.3</inf>As PHEMTs with f<inf>max</inf> in excess of 1 THz. The devices feature a Pt gate sinking process to effectively thin down the In<inf>0.52</inf>Al<inf>0.48</inf>As barrier layer, together with a two-step recess process. The fabricated device with L<inf>g</inf> = 50-nm exhibits V<inf>T</inf> = 0.1 V, g<inf>m,max</inf> = 1.75 mS/µm, f<inf>T</inf> = 465 GHz and f<inf>max</inf> = 1.06 THz at a moderate value of V<inf>DS</inf> = 0.75 V. In addition, we have physically modeled the abnormal peaky behavior in Mason's unilateral gain (U<inf>g</inf>) at high values of VDS. A revised small signal model that includes a shunting R<inf>gd-NDR</inf> with negative value successfully describes the behavior of the device from 1 to 67 GHz.
Error-driven HMM-based Chunk Tagger with Context-dependent Lexicon

This paper proposes a new error-driven HMM-based text chunk tagger with context-dependent lexicon. Compared with standard HMM-based tagger, this tagger uses a new Hidden Markov Modelling approach which incorporates more contextual information into a lexical entry. Moreover, an error-driven learning approach is adopted to decrease the memory requirement by keeping only positive lexical entries and makes it possible to further incorporate more context-dependent lexical entries. Experiments show that this technique achieves overall precision and recall rates of 93.40% and 93.95% for all chunk types, 93.60% and 94.64% for noun phrases, and 94.64% and 94.75% for verb phrases when trained on PENN WSJ TreeBank section 00-19 and tested on section 20-24, while 25-fold validation experiments of PENN WSJ TreeBank show overall precision and recall rates of 96.40% and 96.47% for all chunk types, 96.49% and 96.99% for noun phrases, and 97.13% and 97.36% for verb phrases.
Handling constraints in the HP model for protein structure prediction by multiobjective optimization

The hydrophobic-polar (TIP) model is an abstract representation of the protein structure prediction problem, where hydrophobic interactions are assumed to be the major determinant of the folded state of proteins. This paper inquires into the constraint-handling design issue of metaheuristics, which is crucial when dealing with such a challenging and highly constrained combinatorial optimization problem. A new constraint-handling strategy for the TIP model, based on multiobjective optimization concepts, is here proposed. The multiobjective approach for handling constraints in this particular problem is explored for the first time in this study, to the authors' knowledge. Using a basic genetic algorithm and a large set of test instances for the two-dimensional TIP model (based on the square lattice), the proposed multiobjective strategy was evaluated and compared with respect to commonly adopted techniques from the literature. On the one hand, through such a comparative analysis it was possible to demonstrate the suitability of the proposed multiobjective strategy. On the other hand, the results of this study provide further insight into whether infeasible protein conformations should be allowed or prevented during the metaheuristic search process, which has been a subject of concern in the specialized literature.
Everolimus exhibits anti-tumorigenic activity in obesity-induced ovarian cancer

Everolimus inhibits mTOR kinase activity and its downstream targets by acting on mTORC1 and has anti-tumorigenic activity in ovarian cancer. Clinical and epidemiologic data find that obesity is associated with worse outcomes in ovarian cancer. In addition, obesity leads to hyperactivation of the mTOR pathway in epithelial tissues, suggesting that mTOR inhibitors may be a logical choice for treatment in obesity-driven cancers. However, it remains unclear if obesity impacts the effect of everolimus on tumor growth in ovarian cancer. The present study was aimed at evaluating the effects of everolimus on cytotoxicity, cell metabolism, apoptosis, cell cycle, cell stress and invasion in human ovarian cancer cells. A genetically engineered mouse model of serous ovarian cancer fed a high fat diet or low fat diet allowed further investigation into the inter-relationship between everolimus and obesity in vivo. Everolimus significantly inhibited cellular proliferation, induced cell cycle G1 arrest and apoptosis, reduced invasion and caused cellular stress via inhibition of mTOR pathways in vitro. Hypoglycemic conditions enhanced the sensitivity of cells to everolimus through the disruption of glycolysis. Moreover, everolimus was found to inhibit ovarian tumor growth in both obese and lean mice. This reduction coincided with a decrease in expression of Ki-67 and phosphorylated-S6, as well as an increase in cleaved caspase 3 and phosphorylated-AKT. Metabolite profiling revealed that everolimus was able to alter tumor metabolism through different metabolic pathways in the obese and lean mice. Our findings support that everolimus may be a promising therapeutic agent for obesity-driven ovarian cancers.
The Concept of Place and Sense of Place In Architectural Studies

Place is a where dimension formed by people’s relationship with physical settings, individual and group activities, and meanings. ‘Place Attachment’, ‘Place Identity’ and ‘Sense of Place’ are some concepts that could describe the quality of people’s relationships with a place. The concept of Sense of place is used in studying human-place bonding, attachment and place meaning. Sense of Place usually is defined as an overarching impression encompassing the general ways in which people feel about places, senses it, and assign concepts and values to it. Sense of place is highlighted in this article as one of the prevailing concepts among place-based researches. Considering dimensions of sense of place has always been beneficial for investigating public place attachment and pro-environmental attitudes towards these places. The creation or preservation of Sense of place is important in maintaining the quality of the environment as well as the integrity of human life within it. While many scholars argued that sense of place is a vague concept, this paper will summarize and analyze the existing seminal literature. Therefore, in this paper first the concept of Sense of place and its characteristics will be examined afterward the scales of Sense of place will be reviewed and the factors that contribute to form Sense of place will be evaluated and finally Place Attachment as an objective dimension for measuring the sense of place will be described. Keywords—Place, Place Attachment, Sense of place
Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction

In recent publications the use of lattice-reduction for signal detection in multiple antenna systems has been proposed. In this paper, we adopt these lattice-reduction-aided schemes to the MMSE criterion. We show that an obvious way to do this is infeasible and propose an alternative method based on an extended system model, which in conjunction with simple successive interference cancellation nearly reaches the performance of maximum-likelihood detection. Furthermore, we demonstrate that, a sorted QR decomposition can significantly reduce the computational effort associated with lattice-reduction. Thus, the new algorithm clearly outperforms existing methods with comparable complexity.
Planning finger movements to lift up deformable 2D objects

This paper describes a strategy to lift up a deformable 2D object resting on a horizontal plane. Inspired by human hand lifting behavior, the strategy plans grasping trajectories of two fingertips using modified Rapidly-exploring Random Trees (RRT). Compared to a straight squeeze, a planned finger movement not only enlarges the graspable region, but also minimizes the work. Improvements on control complexity and robustness are made through modifications to RRT. The introduced strategy is applicable to both hollow and solid 2D objects, and is extendable to 3D ones.
Parameter Identification for a Non-modular Elastic Joint Robot Arm for Observer-based Collision Detection

Safe physical human-robot interaction gains importance since bringing humans and robots spatially working together provides a high benefit for industry. Here robots can aid humans e.g. as "third hand" or by performing monotonous tasks. To realize this, a certain level of safety has to be ensured. A lightweight design and inherent passive compliance, as present at the BioRobArm, helps to reduce the injury risk, which is caused by a robot. Beside this, various performed collision tests from present research showed that a reliable collision detection can reduce the collision force in many cases, or at least dissipate dangerous situations for an involved human. This work implements a model-based disturbance observer for collision detection. Since an accurate model had to be available to ensure a reliable collision detection, a general approach to produce the dynamics model for robots with elastic joints is introduced. To use the model as observer, its parameters have to be identified. For this purpose a method is proposed, that combines two approaches, which separately treat the actuator and load side model to create a linear equation system. These equation systems are then solved using excitation trajectories, which are optimized according to an appropriate observability measure. The model identification process is verified by simulations and experiments. Finally the implemented model-based collision detection is successfully tested during a collision test with an appropriate reaction. The tests have shown that the proposed methods can be used for model identification and collision detection, but the produced model has to be refined to better represent the real behavior. Also the benefit of the collision detection has to be evaluated in further tests with the real robot.
KnowledgeZoom for Java: A Concept-Based Exam Study Tool with a Zoomable Open Student Model

This paper presents our attempt to develop a personalized exam preparation tool for Java/OOP classes based on a fine-grained concept model of Java knowledge. Our goal was to explore two most popular student model-based approaches: open student modeling and problem sequencing. The result of our work is a Java exam preparation tool, Knowledge Zoom. The tool combines an open concept-level student model component, Knowledge Explorer and a concept-based sequencing component, Knowledge Maximizer into a single interface. This paper presents both components of Knowledge Zoom, reports results of its evaluation, and discusses lessons learned.
Associations Between Witnessing the Abuse of a Sibling in Childhood and Experiencing Trauma Related Symptoms in Adulthood

Currently sibling research is burgeoning, yet there is virtually no literature regarding outcomes associated with witnessing the abuse of a sibling. The present study aimed to address this gap in the literature. A sample of 284 university students were surveyed regarding traumatic experiences in childhood and adulthood, the quality of childhood sibling relationships, and the experience of trauma symptoms in adulthood. Regression and moderation analyses were conducted to examine the relationship between witnessing the abuse of a sibling in childhood and trauma symptoms in adulthood and to assess whether sibling relationship quality moderates the association between sibling abuse and trauma symptomology. Results showed that witnessing the abuse of a sibling was associated with depression symptoms in the overall sample and for females reporting about a brother. Also, sibling conflict moderated the relationship between witnessed sibling abuse and externalization in sister-sister dyads. These associations should be considered in terms of the systemic abuse to which participants were exposed. Implications for clinical practice working with sibling-related victimization are discussed.
Beauty therapy, VET teaching and bio-power: a tale of two training packages

Abstract This paper explores the teaching of beauty therapy in the Australian Vocational Education and Training (VET) sector. It uses the theoretical concept of bio-power to examine how the body is compliant with intimate treatments in the name of beauty. Bio-power makes visible the anatomical and biological transformation and re-formation of the human body. Bio-power constructs and is in turn constructed by the work of beauty therapy teachers in the practice of transforming the body, regulating the physical functions of the body and disciplining the choices of teachers working with training packages. Through this conceptual framework, a unit of competency is analysed to determine the association of bio-power with two training packages when teaching beauty therapy. It will show that working intimately with the human body from the inner mechanisms at the cellular level to managing the therapist/client relationship is both physically and emotionally laborious. Consequently, the two training packages that are meant to frame and conceptualise this work may not provide adequate explanations of its complexity.
Towards greater quality literacy in a eLearning Europe

The article emphasises the importance of viewing quality development not as an add-on to eLearning, e.g. as an isolated evaluation approach at the end of a course. Quality development, rather, is viewed as a key aspect, occurring in every single development and delivery process of eLearning courses and programmes. From research, three concepts can be utilised and combined to form a new, comprehensive concept of quality development:
APPLICATION OF HIGH RESOLUTION SATELLITE IMAGERY FOR WETLANDS COVER CLASSIFICATION USING OBJECT-ORIENTED METHOD

Wetlands are considered an integral part of the global ecosystem, the development of the remote sensing technology makes us obtain very abundant information of wetlands, especially with the appearance of high resolution satellite imagery which extends the visual field of the wetlands. The aim of this study is to explore the viability of applying high resolution satellite imagery for inland limnetic wetlands cover classification using object-oriented method. Thesis discussed the selection of best segmentation scale during segmentation procedure using statistical, trial and error method, determined the separability of each wetlands cover structural class using each texture band through z-test method, and a high accuracy of classification result was acquired at last through test.
Big data analytics in healthcare: A survey approach

The development of the concept of business intelligence and analysis has emphasized the importance of the collection, integration, processing of data and reporting of underlying knowledge and how this knowledge can help to make more appropriate business decisions, acquire a better understanding of market behaviors and trends. Tremendous growth of the data has enabled us to uncover the hidden knowledge from data. We can use the Big Data analysis for effective decision making in healthcare domain using the existing machine learning algorithms with some modification to it This paper summarizes the role of Big Data analysis in healthcare and various shortcomings of traditional machine learning algorithms.
Einfluss einer leichten kognitiven Beeinträchtigung auf die Zufriedenheit innerhalb einer partnerschaftlichen Beziehung

Der Terminus leichte kognitive Beeintrachtigung (LKB) beschreibt einen Ubergangsbereich, der zwischen dem normalen Leistungsprofil alterer Menschen und der Schwelle einer Demenz anzusiedeln ist. Diese Beeintrachtigung geht nicht nur mit kognitiven Einbusen einher, sondern haufig auch mit Veranderungen des Affekts und des Verhaltens sowie mit Schwierigkeiten komplexe Aktivitaten des taglichen Lebens zu bewaltigen. In dieser Arbeit wurde untersucht, ob eine LKB auch die Zufriedenheit in einer partnerschaftlichen Beziehung beeinflusst. Die Ergebnisse zeigen, dass kognitiv gesunde Lebenspartner, die mit einem erkrankten Partner zusammenleben, unzufriedener mit der partnerschaftlichen Beziehung sind als Lebenspartner, die beide kognitiv gesund sind. Demzufolge ware es sinnvoll, die Paarproblematik als Gegenstand in die psychosoziale Beratung aufzunehmen.
Beltrami operators in the plane

We determine optimal Lp-properties for the solutions of the general nonlinear elliptic system in the plane of the form fz = H(z, fz), h ∈ L(C), where H is a measurable function satisfying |H(z, w1)−H(z, w2)| ≤ k|w1−w2| and k is a constant k < 1. We will also establish the precise invertibility and spectral properties in Lp(C) for the operators I − Tμ, I − μT, and T − μ, where T is the Beurling transform. These operators are basic in the theory of quasiconformal mappings and in linear and nonlinear elliptic partial differential equations in two dimensions. In particular, we prove invertibility in Lp(C) whenever 1 + ‖μ‖∞ < p < 1 + 1/‖μ‖∞. We also prove related results with applications to the regularity of weakly quasiconformal mappings.