Miracle-dz/UniFAR-FTUs huggingface dataset:
Motivating Children with Autism Spectrum Disorder in Gross Motor-skill Assessments

Assessment is the foundation of providing appropriate services and developing effective lesson plans for physical education. If assessment results do not truly represent a child's ability level, the physical education experience for that student may be less meaningful. This can be a concern for students with autism spectrum disorder (ASD) who may not understand or have an interest in the rigid structure of standardized motor assessments. Recent research has focused on improving communication during gross motor-skill assessment to improve skill performance among children with ASD. In order to further increase the accuracy of movement skill assessments for students with ASD, however, it is important that teachers and professionals also address a student's motivation to participate. If the student with ASD is motivated to participate in the assessment, the student will be more interested in and perform the skill better. The purpose of this article is to provide strategies to increase motivation during gross motor-skill assessments in order to improve accuracy and knowledge of the student's movement capabilities. Strategies for how physical educators can increase motivation will be presented, including getting to know the student, making the assessment fun, and providing choices.
Design of CMOS based reconfigurable LNA at millimeter wave frequency using active load

Due to increased commercial and scientific applications in millimeter wave (mm wave) band, the development of mm wave transceivers is considered as prominent phase in RFIC design cycle. This paper proposes the design of reconfigurable low noise amplifier (LNA) working at 60 GHz using active load transistor. A single stage source degenerated LNA has been designed to achieve a gain of 8.38 dB and noise figure (NF) of 2.92 dB. The frequency of operation is tuned from 57 to 64 GHz i.e. at millimeter wave. Variation in gain and noise figure are achieved through the design of active load using NMOS transistor. This active load works as reconfiguration network which is subjected to proper bias voltage that yields the highest gain of 8.41 dB and the lower possible gain of 6.9 dB. Similarly the results of NF reaching 2.92 dB as minimum value and on the other end reaching 3.3 dB are observed and presented. That is, reconfigurable performance parameters are gain and NF whose variability is observed to be 17.66 % and 13% respectively. Proper bias voltage is extracted using DC characteristics of load transistor and their results are presented. Design parameter of LNA at millimeter wave frequencies, consideration of noise sources and its equivalent noise voltages, device modeling considering the parasitic effect and choice of LNA configuration have also been discussed.
Diplomarbeit Development and test of topology based analyses for a phylogenomic annotation system

The phylogenomic annotation system PhyloGena was extended by a database back-end. Therefore it was necessary to adapt the data-model of the software and to develop a database scheme. An interactive batch-mode was added to the program. Now it is possible to handle even very large datasets and to run many processes of PhyloGena in parallel on the same database. Furthermore, a component was developed which provides an automatic taxonomical classification of the input sequences. Many new developed filters can be used to search the database for relevant results. This systems produces many phylogenetic trees. Additionally, the program PhyloSort was seamlessly integrated to PhyloGena by an interface and a customized graphical user interface, to be able to search for monophyletic clades. In this thesis, the theoretical backgrounds of phylogenetic analyses as well as their uses are introduced first. The used components and the new features of this software are presented from the users and the developers point of view. Finally, the results of a test run are discussed, to demonstrate the capability of these new developments. Therefore 5000 sequences were analysed against different sequence databases. The results were compared to those of the program MEGAN, a popular program for analysis of meta-genomic datasets.
Contention-Aware Scheduling for Asymmetric Multicore Processors

Asymmetric multicore processors (AMPs) have been proposed as an energy-efficient alternative to symmetric mul-ticore processors (SMPs). However, AMPs derive their performance from core specialization, which requires co-running applications to be scheduled to run on their most appropriate core types. Despite extensive research on AMP scheduling, developing an effective scheduling algorithm remains challenging. Contention for shared resources is a key performance-limiting factor, which often renders existing contention-free scheduling algorithms ineffective. We introduce a contention-aware scheduling algorithm for ARM's big.LITTLE, a commercial AMP platform. Our algorithm comprises an offline stage and an online stage. The offline stage builds a performance interference model for an application by training it with a set of co-running applications. Guided by this model, the online stage schedules a workload by assigning its applications to their most appropriate core types in order to minimize the performance degradation caused by contention for shared resources. Our model can accurately predict the performance degradation of an application when co-running with other applications with an average prediction error of 9.60%. Compared with the default scheduler provided for ARM's big.LITTLE and the speedup-factor-driven scheduler, our contention-aware scheduler can improve overall system performance by up to 28.32% and 28.51%, respectively.
A robust adaptive precision position control of PMSM

A new control method for precision robust position control of a permanent magnet synchronous motor (PMSM) is presented. In direct drive motor systems, a load torque disturbances directly affects the motor shaft. The application of the load torque observer using a fixed gain to solve this problem was published by J.S. Ko et al. (see IEEE Trans. Ind. Electron., vol.40, no.5, p.512-20, 1993). However, the motor flux linkage cannot be determined precisely for a load torque observer. Therefore, an asymptotically stable adaptive observer based on a deadbeat observer is considered to overcome the problems of unknown parameters, torque disturbance and a small chattering effect. To find the critical parameters the system stability analysis is carried out using the Lyapunov stability theorem.
Using Wireless Physical Layer Information to Construct Implicit Identifiers

Recent work has focused on removing explicit network identifiers (such as MAC addresses) from the wireless link layer to protect users’ privacy. However, despite comprehensive proposals to conceal all informatio n encoded in the bits of the headers and payloads of network packets, we find that a str ightforward attack on a physical layer property yields information that aids in the p rofiling of users. In this paper, a statistical technique is developed to associate wireless packets with their respective transmitters solely using the signal streng ths of overheard packets. Through experiments conducted in a real indoor office building environment, we demonstrate that packets with no explicit identifiers can be grouped together by their respective transmitters with high accuracy. We next show that this technique is sufficiently accurate to allow an adversary to con du t a variety of complex traffic analysis attacks. As an example, we demonstr ate that one type of traffic analysis—a website fingerprinting attack—can be succe sfully implemented after packets have been associated with their transmitters. Fina lly, we propose and evaluate techniques that can introduce noise into the meas urements of such physical layer phenomena to obfuscate the identifiers der ived from them.
Sealing Shales versus Brittle Shales: A Sharp Threshold in the Material Properties and Energy Technology Uses of Fine-Grained Sedimentary Rocks

Fine-grained sedimentary rocks (shale and mudstone) play important roles in global CO2 abatement efforts through their uses in carbon capture and storage (CCS), radioactive waste storage, and shale gas extraction. These different technologies, however, rely on seemingly conflicting premises regarding the sealing properties of shale and mudstone, suggesting that those rocks that lend themselves to hydrocarbon extraction may not be optimal seals for CCS or radioactive waste storage, and vice versa. In this paper, a compilation of experimental data on the properties of well-characterized shale and mudstone formations is used to demonstrate that clay mineral mass fraction, Xclay, is a very important variable the controls key material properties of these formations and that a remarkably sharp threshold at Xclay ∼ 1/3 separates fine-grained rocks with very different properties. This threshold coincides with the predictions of a simple conceptual model of the microstructure of sedimentary rocks and is reflected .
The language and literacy profile of young Polish children learning English as an additional language in the UK school system

Children’s reading comprehension difficulties can lead to lower performance at school and limited access to the curriculum. Reading may be a particular challenge for those children who are learning English as an additional language (EAL). While a number of studies have been conducted on the development of literacy in children, this research aimed to add to a growing avenue of investigation into the population of children learning EAL. The aim of this research project was an in depth examination of the language and literacy performance of the population of Polish children learning EAL in the UK school system both in their first and second language. The three hundred and nineteen children who were assessed in this study were sampled from three language backgrounds: Polish children learning EAL and two monolingual groups of Polish and English native speakers. The children were assessed with a range of standardised and bespoke tools assessing pre-literacy abilities, oral language, decoding, reading comprehension and higher level comprehension skills. This thesis benchmarked the performance of children learning EAL against their monolingual peers in both languages spoken, along with investigating the relationships between reading comprehension, decoding and language comprehension in this language pair and in comparison to their monolingual peers. Cross-language transfer both within and between language and literacy constructs was also investigated in the EAL group. Finally, the issue of low language performance in this group and the necessity of conducting assessment in both languages spoken by the EAL child were explored. The relevance of these findings for this group of EAL learners in the school setting as well as practical implications and future directions were also discussed.
Towards a Methodology for Educational Modelling: A Case in Educational Assessment

Giesbers, B. , van Bruggen, J., Hermans, H. , Joosten-ten Brinke, D. , Burgers, J., Koper, R. , & Latour, I. (2007). Towards a methodology for educational modelling: a case in educational assessment. Educational Technology & Society, 10 (1), 237-247.
A Unified Theory of Contrastive Topic and RFR

This paper aims to provide a unified explanation for Contrastive Topic (CT) and Rise-Fall-Rise (RFR) construction by establishing a theory of ‘Semantic Contrast’. This will require us to depart from the conventional idea of putting Contrastive Topic under the category of Topic in the information structure and to have a new idea that the meaning of CT is derived from the interaction of Contrast operator and the following plain Focus. This claim will be supported by the experimental results on Korean.
Music in Our Ears: The Biological Bases of Musical Timbre Perception

Timbre is the attribute of sound that allows humans and other animals to distinguish among different sound sources. Studies based on psychophysical judgments of musical timbre, ecological analyses of sound's physical characteristics as well as machine learning approaches have all suggested that timbre is a multifaceted attribute that invokes both spectral and temporal sound features. Here, we explored the neural underpinnings of musical timbre. We used a neuro-computational framework based on spectro-temporal receptive fields, recorded from over a thousand neurons in the mammalian primary auditory cortex as well as from simulated cortical neurons, augmented with a nonlinear classifier. The model was able to perform robust instrument classification irrespective of pitch and playing style, with an accuracy of 98.7%. Using the same front end, the model was also able to reproduce perceptual distance judgments between timbres as perceived by human listeners. The study demonstrates that joint spectro-temporal features, such as those observed in the mammalian primary auditory cortex, are critical to provide the rich-enough representation necessary to account for perceptual judgments of timbre by human listeners, as well as recognition of musical instruments.
Higher derivative corrections to non-supersymmetric extremal black holes in Script N = 2 supergravity

Using the entropy function formalism we compute the entropy of extremal supersymmetric and non-supersymmetric black holes in = 2 supergravity theories in four dimensions with higher derivative corrections. For supersymmetric black holes our results agree with all previous analysis. However in some examples where the four dimensional theory is expected to arise from the dimensional reduction of a five dimensional theory, there is an apparent disagreement between our results for non-supersymmetric black holes and those obtained by using the five dimensional description. This indicates that for these theories supersymmetrization of the curvature squared term in four dimension does not produce all the terms which would come from the dimensional reduction of a five dimensional action with curvature squared terms.
Statistical Shape Analysis of Experiments for Manufacturing Processes

We review existing and develop new statistical techniques for the analysis of experiments where the response is the geometric shape of a manufactured part. The analysis of variance for shapes is discussed. An F test and a permutation test for detecting differences in shape are presented. It is shown how the permutation test provides higher power for 2D circular profiles than the traditional methods used in manufacturing practice, which are based on the circularity form error. The proposed permutation test does not require the error assumptions needed in the F test, which may be restrictive in practice. New visualization tools, including main effect and interaction plots for shapes and deviation from nominal plots are presented to aid in the interpretation of the experimental results. The proposed methods are illustrated with a real manufacturing application in titanium lathe turning.
Study of preference relations in many-objective optimization

This paper presents a quantitative analysis of different preference relations proposed to deal with problems with a high number of objectives. Since the relations stress different subsets of the Pareto front, we based the comparison on the Tchebycheff distance of the approximation set to the "knee" of the Pareto front. Additionally, the convergence induced by the preference relations is studied by analyzing the generational distance observed at each generation of the search. The results show that some preference relations contribute to converge quickly to the Pareto front, but they promote the generation of solutions far from the knee region. Moreover, even if a preference relation generates solutions near the knee, there exists a trade-off between convergence and the extension of the Pareto front covered.
Cellular Traffic Offloading through WiFi Networks

Cellular networks are currently facing the challenges of mobile data explosion. High-end mobile phones and laptops double their mobile data traffic every year and this trend is expected to continue given the rapid development of mobile social applications. It is imperative that novel architectures be developed to handle such voluminous mobile data. In this paper, we propose and evaluate an integrated architecture exploiting the opportunistic networking paradigm to migrate data traffic from cellular networks to metropolitan WiFi access points (APs). To quantify the benefits of deploying such an architecture, we consider the case of bulk file transfer and video streaming over 3G networks and simulate data delivery using real mobility data set of 500 taxis in an urban area. We are the first to quantitatively evaluate the gains of citywide WiFi offloading using large scale real traces. Our results give the numbers of APs needed for different requirements of quality of service for data delivery in large metropolitan area. We show that even with a sparse WiFi network the delivery performance can be significantly improved. This effort serves as an important feasibility study and provides guidelines for operators to evaluate the possibility and cost of this solution. Keywords-Cellular traffic offloading, delay tolerant, WiFi access points, trace-driven simulation.
Interaction-driven speech input: a data-driven approach to the capture of both local and global language constraints

Speech technology (both recognition speech-to-text and synthesis text-to-speech) has made great strides over the past decade. Commercial applications such as automated voice response, command and control, and domain-specific dictation are now common. Thanks to ever more sophisticated acoustic models [1], under typical conditions the technology works quite well for a reasonably wide range of users.
An Analysis of Exchanges in Chinese Social Media. Are Social Networking Sites Contributing to Cheating

This study investigates the possibility that social networking sites in China are used to exchange information about the use of unfair means in university assignments. It presents a thematic analysis of 303 messages posted between September 2016 and September 2017, on a group set up on Douban for Sheffield University students. It also draws on information provided by members of WeChat group who had formerly been students at Sheffield University. The study was prompted by an apparent increase in the practice of faking references. None of the posts on Douban referred to this practice. Students on the WeChat group suggested it was commonplace. Both Douban and WeChat were used to provide information about essay-writing services.
Six-Coordinate Zinc Porphyrins for Template-Directed Synthesis of Spiro-Fused Nanorings

Five-coordinate geometry is the standard binding mode of zinc porphyrins with pyridine ligands. Here we show that pseudo-octahedral six-coordinate zinc porphyrin complexes can also be formed in solution, by taking advantage of the chelate effect. UV–vis–NIR titrations indicate that the strength of this second coordination is ca. 6–8 kJ mol–1. We have used the formation of six-coordinate zinc porphyrin complexes to achieve the template-directed synthesis of a 3D π-conjugated spiro-fused array of 11 porphyrin units, covalently connected in a nontrivial topology. Time-resolved fluorescence anisotropy experiments show that electronic excitation delocalizes between the two perpendicular nanorings of this spiro-system within the experimental time-resolution of 270 fs.
" Parkland-ut Southwestern Prospr Center: Colon Cancer Screening in a Safety Net. " (celette

Risk stratification using number, size, and histology of colorectal adenomas is currently suboptimal for identifying patients at increased risk for future colorectal cancer (CRC). We hypothesized that molecular markers of carcinogenesis in adenomas, measured via immunohistochemistry, may help identify high-risk patients. To test this hypothesis, we conducted a retrospective, 1:1 matched case-control study (n=216; 46% female) in which cases were patients with CRC and synchronous adenoma and controls were patients with adenoma but no CRC at baseline or within 5 years of follow-up. In phase I of analyses, we compared expression of molecular markers of carcinogenesis in case and control adenomas, blind to case status. In phase II of analyses, patients were randomly divided into independent training and validation groups to develop a model for predicting case status. We found that seven markers (p53, p21, Cox-2, beta-catenin, DNA dependent protein kinase (DNApkcs), survivin, and 0(6)-methylguanine-DNA methyltransferase (MGMT)) were significantly associated with case status on unadjusted analyses, as well as analyses adjusted for age and advanced adenoma status (p<0.01 for at least one marker component). When applied to the validation set, a predictive model using these 7 markers showed substantial accuracy for identifying cases (AUC=0.83; 95% CI:0.74-0.92). A parsimonious model employing 3 markers performed similarly to the 7 marker model (AUC=0.84). In summary, we found that molecular markers of carcinogenesis distinguished adenomas from patients with and without CRC. Cancer Research. on April 2, 2017. © 2014 American Association for cancerpreventionresearch.aacrjournals. org Downloaded from Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on August 4, 2014; DOI: 10.1158/1940-6207.CAPR-14-0140
The DUF59 Containing Protein SufT Is Involved in the Maturation of Iron-Sulfur (FeS) Proteins during Conditions of High FeS Cofactor Demand in Staphylococcus aureus

Proteins containing DUF59 domains have roles in iron-sulfur (FeS) cluster assembly and are widespread throughout Eukarya, Bacteria, and Archaea. However, the function(s) of this domain is unknown. Staphylococcus aureus SufT is composed solely of a DUF59 domain. We noted that sufT is often co-localized with sufBC, which encode for the Suf FeS cluster biosynthetic machinery. Phylogenetic analyses indicated that sufT was recruited to the suf operon, suggesting a role for SufT in FeS cluster assembly. A S. aureus ΔsufT mutant was defective in the assembly of FeS proteins. The DUF59 protein Rv1466 from Mycobacterium tuberculosis partially corrected the phenotypes of a ΔsufT mutant, consistent with a widespread role for DUF59 in FeS protein maturation. SufT was dispensable for FeS protein maturation during conditions that imposed a low cellular demand for FeS cluster assembly. In contrast, the role of SufT was maximal during conditions imposing a high demand for FeS cluster assembly. SufT was not involved in the repair of FeS clusters damaged by reactive oxygen species or in the physical protection of FeS clusters from oxidants. Nfu is a FeS cluster carrier and nfu displayed synergy with sufT. Furthermore, introduction of nfu upon a multicopy plasmid partially corrected the phenotypes of the ΔsufT mutant. Biofilm formation and exoprotein production are critical for S. aureus pathogenesis and vancomycin is a drug of last-resort to treat staphylococcal infections. Defective FeS protein maturation resulted in increased biofilm formation, decreased production of exoproteins, increased resistance to vancomycin, and the appearance of phenotypes consistent with vancomycin-intermediate resistant S. aureus. We propose that SufT, and by extension the DUF59 domain, is an accessory factor that functions in the maturation of FeS proteins. In S. aureus, the involvement of SufT is maximal during conditions of high demand for FeS proteins.